Forest land identification methods, systems, and cloud platforms in the approval process for forest land use in construction projects.

Abstract

This invention relates to a method, system, and cloud platform for forest land identification in the approval process for forest land use in construction projects. The method includes: acquiring a forest land survey vector layer submitted by the user; performing spatial intersection and joint spatial analysis with a standardized planning approval layer and a survey and monitoring vector layer to construct a review standard database integrating three types of attributes: application, planning approval, and survey and monitoring; comparing planning approval attributes with application attributes on a map-by-map basis, automatically labeling forest land identification type tags; calling a pre-set rule base to match and generate identification reason tags and supporting material type tags; verifying the completeness and spatial coverage consistency of supporting materials; comparing the review results with the user-submitted tags on a map-by-map basis, filtering inconsistent map patches and returning them to the user. This invention achieves standardization and automation of forest land identification review, unifies review benchmarks, realizes automated and standardized verification of forest land identification, identifies problems in advance, effectively reduces rework costs, and improves forest land approval efficiency.

Description

Technical Field

[0001] This invention relates to the field of geographic information data processing technology, specifically to a method, system, and cloud platform for forest land identification in the approval process for the use of forest land in construction projects. Background Technology

[0002] The approval process for the use of forest land in construction projects is a crucial step in improving the efficiency of natural resource allocation and ensuring the successful implementation of major projects. Accelerating the approval process for forest land use in construction projects is a vital measure to enhance the efficiency of natural resource allocation and fully support project implementation. Currently, land use approvals are based on the latest annual change survey results (including forest, grassland, and wetland monitoring results), clarifying land use attributes according to territorial spatial planning and management requirements to ensure spatial uniqueness. In the review and approval of forest land use for construction projects, the identification of forest land management boundaries is the primary task, crucial for ensuring land type and spatial uniqueness, and a core indicator for preparing feasibility study reports, disbursing compensation funds, and paying for vegetation restoration. However, due to historical reasons, disputes over the management boundaries of cultivated land, forest land, and orchards, and difficulties in resolving legacy issues, the identification and review of forest land for construction projects still faces numerous challenges in practice.

[0003] During the project approval process, after the project developer submits the results of identifying forest land management boundaries, inconsistencies often arise between the submitted boundary information and the information provided by the reviewer due to insufficient supporting documentation or incorrect application of the identification rules. Any change in the forest land management boundaries necessitates a complete overhaul of the entire application, significantly delaying project approval and severely impacting project progress. Currently, the main drawbacks are as follows: (1) The cost of standard coordination is high and the rework rate is high. The project construction party is not an industry professional and cannot keep up with the dynamic information of the industry in a timely manner. It is difficult to accurately grasp the target audience and scope of use of multiple sets of industry archives. The forest land standards are difficult to keep in line with the reviewers. Furthermore, when the on-site investigation is inconsistent with the archives, supporting materials are required to further assist the reviewers in their review, which further exacerbates the difficulty of standard coordination and leads to a high rework rate in project review and approval.

[0004] (2) The forest land identification and review service is delayed and inefficient. The forest land management boundary is the primary factor in the approval of the use of forest land for construction projects. Any inconsistency in the identification of any plot will cause changes in all aspects, such as the preparation of feasibility study reports, the calculation of compensation funds, and the payment of vegetation restoration fees. The review work often requires all materials to be complete before it can be carried out. As a result, the construction party spends a lot of time on data consistency when the basic data is uncertain, resulting in low efficiency in the approval of construction projects.

[0005] In summary, how to achieve rapid coordination of forest land identification standards in the approval of forest land use for construction projects, provide unified review criteria and automated verification methods, so as to improve the success rate of first-time approval and shorten the project approval cycle, is a technical problem that urgently needs to be solved in this field. Summary of the Invention

[0006] The purpose of this invention is to provide a method, system, and cloud platform for forest land identification in the approval of forest land use for construction projects, which can achieve rapid coordination of forest land identification standards, provide unified review basis and automated verification means, so as to improve the success rate of approval and shorten the project approval cycle.

[0007] The above objective is achieved through the following technical solution: a method for identifying forest land in the approval process for the use of forest land in construction projects, comprising the following steps: S1, Construction of the review standard database: Obtain the vector map layer of the forest land application submitted by the user for the construction project; after standardizing the fields of the preset planning approval vector map layer and the survey and monitoring vector map layer, perform spatial intersection analysis with the application vector map layer to generate an intermediate layer of the review archive covering the project scope; perform spatial joint analysis between the application vector map layer and the intermediate layer of the review archive, extract the attribute fields of forest land identification according to the preset field mapping rules, and construct a forest land identification review standard database that integrates application attributes, planning approval attributes, and survey and monitoring attributes; S2, Automatic labeling of forest land identification types: Read the forest land attribute values ​​of the planning approval and the forest land identification attribute values ​​of the declared vector layer from the forest land identification review standard database for each map patch, and automatically label each map patch with forest land identification type tags including consistent forest land, added forest land, removed forest land and consistent non-forest land through attribute logic comparison; S3, Automatic matching of identification reasons and supporting evidence types: Based on the forest land identification type label, a pre-set classification forest land identification reason judgment rule library is called, and the forest land attribute values ​​in the planning approval and the forest land attribute values ​​in the survey and monitoring are combined to automatically generate corresponding forest land identification reason labels for each map patch; Based on the pre-set reason-supporting evidence mapping rules, corresponding supporting material type labels are generated based on the forest land identification reason labels. S4, Verification of the integrity of supporting data: Based on the supporting material type label, retrieve the corresponding supporting electronic files and supporting vector layers respectively; verify the integrity of the supporting electronic files, and verify the spatial coverage consistency between the supporting vector layers and the corresponding map patches, and generate supporting material verification result labels; S5, Output of Discrepancies: The generated forest land identification reason labels and supporting material type labels are compared with the corresponding original labels filled in by the user on a plot-by-plot basis. Combined with the supporting material verification result labels, plot data with inconsistent identification are filtered out, packaged to generate a forest land identification review result dataset and returned to the user's client.

[0008] This invention addresses the technical problem of "high cost and high rework rate in standardization" by constructing a multi-layered standardization system. Data standardization involves merging heterogeneous data from different departments and standards, potentially with conflicting fields, into a unified audit standard database through field standardization and spatial analysis, ensuring data consistency at the source. Judgment logic standardization transforms the original subjective judgment process into automated judgment based on clear rules. Step S2 defines four types of judgment rules (a combination of planning approval and application), and S3 defines the specific judgment conditions for each type (further distinguishing by introducing investigation and monitoring attributes). These rules are embedded in the computer system, allowing the construction party and the auditing party to share the same set of rules, thus eliminating standardization problems caused by differing interpretations. Evidence requirements standardization establishes a one-to-one correspondence between each judgment reason and the required type of supporting materials through cause-and-effect mapping rules. Simultaneously, automated integrity checks and spatial coverage consistency checks transform the vague standard of what constitutes qualified supporting materials into specific, automatically verifiable conditions. The construction party provides the materials according to the standards, and the auditing party verifies them according to the standards. Both parties communicate based on the same set of evidence rules, which fundamentally eliminates the root cause of rework.

[0009] To address the technical issues of inefficient and delayed forest land identification and review services, the system establishes forest land identification and review as an independent step, completing it first in S1-S4. Based on a standardized database and rule base, the system automatically completes forest land identification and review and outputs results at the initial stage of project approval. After confirming the forest land identification is approved, the construction party can then proceed with subsequent work such as feasibility study report preparation, compensation fund calculation, and vegetation restoration fee payment based on the correct identification results, avoiding the investment of significant time based on uncertainty.

[0010] In addition, by standardizing the fields of the planning approval vector layer and the survey and monitoring vector layer (such as adding a unified prefix), the field conflict problem of data from different sources during spatial intersection analysis was eliminated. Furthermore, through spatial intersection analysis and spatial joint analysis, the three types of data from different sources—application attributes, planning approval attributes, and survey and monitoring attributes—were accurately matched in spatial location and integrated into a unified review standard database. This allows subsequent review steps to be based on a unified data source, avoiding discrepancies in recognition caused by inconsistent data sources.

[0011] By labeling type tags in step S2, generating cause tags and supporting type tags in step S3, generating verification result tags in step S4, and generating audit conclusion tags in step S5, a complete tagged record is formed for the entire audit process of each map feature. The audit results are output in the form of a structured dataset, allowing users to clearly understand the specific status of each map feature in each audit stage—type determination, cause determination, supporting verification, and conclusion determination—facilitating quick problem location and understanding of the audit basis.

[0012] A further technical solution is that step S1 specifically includes: S1.1 Field standardization: Add a unique identifier prefix corresponding to each layer to all attribute fields of the planning approval vector layer and the survey and monitoring vector layer; S1.2 Spatial Intersection Clipping: Perform spatial intersection analysis on the planning approval vector layer with added identifier prefix, the survey and monitoring vector layer, and the construction project forest land declaration vector layer, and clip to obtain the intermediate layer of the review file that only covers the scope of the declaration vector layer; S1.3, Spatial Joint Integration: Perform spatial joint analysis on the vector map layer of the forest land declaration for the construction project and the intermediate layer of the review file to obtain a joint attribute layer with one-to-one spatial location; S1.4 Field Filtering and Database Building: Based on the preset forest land identification field mapping rules, extract the core attribute fields related to forest land identification from the attribute joint layer to generate a forest land identification review standard database.

[0013] A further technical solution is that, in step S2, the automatic labeling of forest land identification type for each map patch through attribute logic comparison specifically involves: When the approved forest land attribute is forest land and the declared forest land attribute in the vector layer is also forest land, it is marked as consistent forest land; When the approved forest land attribute is non-forest land but the declared forest land attribute in the vector layer is forest land, it is marked as supplementary forest land. When the approved forest land attribute is forest land but the declared forest land attribute in the vector layer is non-forest land, it is marked as removed forest land. When the approved forest land attribute is non-forest land and the declared vector layer forest land attribute is also non-forest land, it should be marked as consistent non-forest land.

[0014] A further technical solution is that, in step S3, the rule base for determining the reasons for classifying forest land includes a subset of rules that correspond one-to-one with the forest land classification type labels: The rules for identifying consistent forest land types include: consistent forest land, deforestation for reclamation, illegal use of forest land, and forest land whose approval has expired or which has been reserved. The rules for the corresponding supplementary forest land types include the following reasons for recognition: supplementary land use rights, supplementary land use approvals, supplementary land use cases, supplementary land use projects, supplementary land use review and correction, supplementary land use image evidence, supplementary land use government certification, or supplementary land use planning. The rules for the corresponding types of forest land to be transferred out include the following reasons: transfer out based on certificates, transfer out based on approvals, transfer out based on agricultural facility permits, transfer out based on review and correction, transfer out based on image evidence, transfer out based on government certification, transfer out based on planning, or transfer out based on farmland protection red lines. The rule subset corresponding to the same non-forest land type is identified based on the following reasons: all are non-forest land.

[0015] A further technical solution is that the cause-evidence mapping rule is a one-way unique mapping relationship: each type of forest land identification cause corresponds to a unique and definite type of supporting material, including certificate type, forestry and grassland approval type, case type, project type, review and correction type, image evidence type, government certificate type, approval document type, planning type, and arable land protection red line type.

[0016] In practical application, the one-way unique mapping relationship between the identified cause and the type of supporting material is as follows: The supporting document type for adding and removing warrants is warrants. The supporting document type for both approval-related additions and removals is forestry and grassland approval. The supplementary supporting materials for each case should be of the case type. For engineering-related supplementary materials, the corresponding supporting material type should be engineering-related. The supporting materials for "Review and Correction Supplement" and "Review and Correction Retrieval" are classified as "Review and Correction Category". The supporting materials for supplementing and retrieving video evidence are classified as video evidence. The supporting document type for adding and removing government certificates is "government certificate category". The supporting documents for agricultural facility permits are classified as permits. The supporting materials for both adding and removing planning-related documents are of the planning category. The supporting materials for adjusting the red line for farmland protection are classified as farmland protection red line type.

[0017] A further technical solution is that, within the rule subset corresponding to the consistent forest land type, the determination criteria for each identification reason are as follows: When the forest land attribute value is forest land in the planning approval, forest land attribute value in the survey and monitoring, and forest land attribute value in the application vector layer identification, and there is no special mark, a consistent forest land label will be generated; When the forest land attribute value is forest land in the planning approval, forest land attribute value is forest land in the survey and monitoring, forest land attribute value is forest land in the application vector layer identification, and there are deforestation and reclamation markers, a deforestation and reclamation forest land label is generated. When the forest land attribute value is forest land in the planning approval, forest land attribute value in the survey and monitoring, forest land attribute value in the application vector layer identification, and there are illegal forest land use markers, an illegal forest land use label is generated. When the forest land attribute value is forest land in the planning approval, forest land attribute value in the survey and monitoring, forest land attribute value in the application vector layer identification, and there is an approval mark for forest land with expired approval, an expired approval forest land label will be generated. When the approved forest land attribute is forest land, the surveyed and monitored forest land attribute is non-forest land, and the declared vector layer forest land attribute is forest land, a forest land preservation label is generated.

[0018] A further technical solution is that the verification result labels of the supporting materials generated in step S4 include four categories: missing supporting electronic files, missing supporting vector layers, supporting vector layers not covering the corresponding map patch area, and complete supporting data for forest land.

[0019] A further technical solution is that the verification in step S4 specifically includes: verifying whether the supporting electronic documents exist, verifying whether the supporting vector layer exists, and verifying whether the spatial range of the supporting vector layer completely covers the corresponding identified patch area.

[0020] A further technical solution is that, in step S5, each inconsistent patch data in the forest land identification and review result dataset is accompanied by a corresponding problem type identifier, which includes inconsistent identification reasons, inconsistent supporting evidence types, missing supporting materials, and mismatched spatial range. A further technical solution is to combine the verification result labels of supporting materials, and when the labels for the reasons for forest land identification are inconsistent, the labels for the types of supporting materials are inconsistent, or the verification results of supporting materials are incomplete, mark the map patch as an inconsistent map patch; filter all map patch data with inconsistent identification, encapsulate and generate a forest land identification review result dataset and return it to the user client; A further technical solution is that the forest land identification and review result dataset includes the following fields for each map patch: Map patch spatial information, administrative division information, map patch number, area, forest land identification attribute value of the declared vector layer, forest land attribute value of the approved plan, forest land attribute value of the survey and monitoring, forest land identification type label, forest land identification reason label, supporting material type label, supporting material verification result label, and review conclusion label.

[0021] To achieve the above objectives, the present invention also provides a forest land identification system for the approval of forest land use in construction projects, for executing any of the above-described methods for forest land identification in the approval of forest land use in construction projects, including a client-side forest land identification application subsystem and a server-side forest land identification review subsystem; The client-side forest land identification and application subsystem includes: The data import module is used to receive spatial and non-spatial data for forest land identification and review imported by users. The spatial data includes project red line data, forest land declaration vector layer data, and evidence vector layer data. The non-spatial data includes project reports, statistical tables, and supporting electronic documents. The integrity self-check module is used to perform self-checks on the integrity of the directory structure, spatial data integrity, and non-spatial data integrity of imported data. The self-inspection module is used to self-inspect imported data for compliance with file structure, spatial reference, data structure, field value range, graphic topology, and supporting materials. The data submission module is used to submit all review materials to the server-side forest land identification and review subsystem after both the completeness self-check and the standardization self-check have passed. The server-side forest land identification and verification subsystem includes: The review and acceptance module is used to receive review materials submitted by users and update the acceptance status of review cases. The materials pre-review module is used to pre-review the completeness and standardization of submitted materials and generate a list of pre-review issues; the rules for the completeness and standardization pre-review are consistent with the client's completeness self-check and standardization self-check rules; The review standard database construction module is used to perform spatial processing on the application vector layer, planning approval vector layer, and survey and monitoring vector layer to construct a forest land identification review standard database that integrates application attributes, planning approval attributes, and survey and monitoring attributes. The forest land identification type labeling module is used to compare attributes on a map-by-map basis and automatically generate labels for four types of forest land identification types. The identification reason and supporting evidence matching module is used to call the classification rule library, generate forest land identification reason tags, and match and generate corresponding supporting material type tags; The supporting data verification module is used to retrieve and verify supporting electronic files and supporting vector layers, and generate supporting material verification result tags. The audit result return module is used to compare and generate discrepancies in the audit results, encapsulate them into a forest land identification audit result dataset, and return it to the client.

[0022] To achieve the above objectives, the present invention also provides a cloud platform for forest land identification in the approval process for the use of forest land in construction projects, comprising: The user terminal layer is equipped with the aforementioned client-side forest land identification and application subsystem, which runs on any one or more terminal devices such as PCs, laptops, mobile workstations, and tablets, and is used to provide users with data import, self-check, and reporting functions. The cloud service application layer deploys the aforementioned server-side forest land identification and review subsystem, which runs on an operating system, database platform, GIS platform, and network middleware to provide full-process forest land identification and review services. The basic cloud resource layer, including computing resource pools, storage resource pools, network resource pools, and a virtualization management platform, is used to provide elastic and scalable computing, storage, and network resource support for the cloud service application layer.

[0023] Compared to existing technologies, this invention improves the priority of forest land identification and ensures the efficiency of forest land use approval for construction projects through a complete technical chain of multi-source spatial data fusion, programmed automatic review, and targeted differential output. The implementation of this invention's technical solution has the following technical advantages: 1. Significantly improve the processing efficiency of forest land identification and review: The entire process is executed automatically by computer, replacing the repetitive work of manually cross-checking multiple sets of base maps, manually matching identification reasons, and manually verifying supporting materials; at the same time, by reducing the amount of data for spatial analysis and reducing computational overhead through project scope trimming, the efficiency of single project review is significantly improved compared with the manual mode, and batch projects can be processed in parallel. 2. Ensure consistency of audit standards and accuracy of results: The rules for forest land type classification, matching of identification reasons, and supporting requirements are solidified into procedural logic to avoid deviations in results caused by differences in the understanding of standards and different levels of experience in manual audits; spatial cover consistency is automatically determined through geometric algorithms, eliminating the error of manual visual verification, and the accuracy and stability of audit results are significantly improved; 3. Achieve proactive and precise problem feedback to reduce iteration costs: Clients conduct self-checks on completeness and compliance in advance, while the server outputs inconsistencies and problem types in a targeted manner. This optimizes the traditional full-item return rectification model into precise problem localization, significantly reducing the number of interactions between application and review, and reducing the resource consumption of data round-trip transmission and repeated review. 4. Standardize the provision of review materials to improve the success rate of first-time approval: By defining the types of forest land identification, the reasons for forest land identification, and the supporting materials for forest land, the system has systematically changed the original simple comparison of land categories based on archival data and on-site surveys. It has subdivided the reasons for identification and required supporting materials for the reasons for identification. The forest land management has standardized the identification process and refined it to specific supporting materials. By synchronizing the identification standards and supporting materials, the success rate of first-time approval has been improved. 5. Prioritize forest land identification to ensure efficient approval of forest land use for construction projects. Forest land management boundary identification is prioritized in quality control. The system utilizes archival data and supporting materials to prioritize forest land grading, and improves inspection efficiency through the system. Subsequent work is carried out only after accurate forest land identification, significantly reducing the time costs for project developers. Attached Figure Description

[0024] The accompanying drawings, which form part of this invention, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an improper limitation of the invention.

[0025] Figure 1 This is a flowchart illustrating the forest land identification method in the approval process for the use of forest land in a construction project, according to one embodiment of the present invention. Figure 2 for Figure 1 A schematic diagram illustrating the specific implementation process of the forest land identification method in the approval of forest land use for construction projects. Figure 3 This is a structural block diagram of the client-side forest land identification and application subsystem according to one embodiment of the present invention; Figure 4 This is a structural block diagram of a server-side forest land identification and review subsystem according to one embodiment of the present invention. Detailed Implementation

[0026] The present invention will now be described in detail with reference to the accompanying drawings. This description is merely illustrative and explanatory, and should not be construed as limiting the scope of protection of the present invention. Furthermore, those skilled in the art can combine the features in the embodiments described herein and in different embodiments accordingly based on the description in this document.

[0027] The embodiments of the present invention are as follows, with reference to Figure 1 and Figure 2 A method for identifying forest land in the approval process for the use of forest land in construction projects includes the following steps: S1, Construction of the review standard database: Obtain the vector map layer of the forest land application submitted by the user for the construction project; after standardizing the fields of the preset planning approval vector map layer and the survey and monitoring vector map layer, perform spatial intersection analysis with the application vector map layer to generate an intermediate layer of the review archive covering the project scope; perform spatial joint analysis between the application vector map layer and the intermediate layer of the review archive, extract the attribute fields of forest land identification according to the preset field mapping rules, and construct a forest land identification review standard database that integrates application attributes, planning approval attributes, and survey and monitoring attributes; It should be noted that the vector layer for forest land application for construction projects includes the forest land survey plot layer for construction projects, the forest land survey vector data submitted by users, and the areal vector dataset uploaded by users during the review process, which is labeled with the results of their self-identification of forest land. These are the data to be reviewed in this review.

[0028] The approved planning vector layer includes the forest land protection and utilization planning layer, the approved forest land map layer, and the approved forest land map. The statutory forest land planning and approval base map data issued by the forestry and grassland authorities are the legal planning benchmarks for forest land identification.

[0029] The survey and monitoring vector layers include the annual forest resource survey and monitoring vector layer, the forest land change survey layer, and the forest and grassland ecological comprehensive monitoring layer. The data of the forest land status survey results, which are regularly updated by the authorities, reflect the actual forest land coverage status of the plots and serve as the factual benchmark for forest land identification.

[0030] Step S1 specifically includes: S1.1 Field standardization: Add a unique identifier prefix corresponding to each layer to all attribute fields of the planning approval vector layer and the survey and monitoring vector layer; S1.2 Spatial Intersection Clipping: Perform spatial intersection analysis on the planning approval vector layer with added identifier prefix, the survey and monitoring vector layer, and the construction project forest land declaration vector layer, and clip to obtain the intermediate layer of the review file that only covers the scope of the declaration vector layer; S1.3, Spatial Joint Integration: Perform spatial joint analysis on the vector map layer of the forest land declaration for the construction project and the intermediate layer of the review file to obtain a joint attribute layer with one-to-one spatial location; S1.4 Field Filtering and Database Building: Based on the preset forest land identification field mapping rules, extract the core attribute fields related to forest land identification from the attribute joint layer to generate a forest land identification review standard database.

[0031] First, the system receives the forest land declaration vector layer submitted by the user for the construction project. This layer contains the forest / non-forest land determination results and related attribute information for each map patch identified by the user after on-site investigation. Simultaneously, it retrieves two types of pre-set review base map data: one is the planning approval vector layer (i.e., forest land management boundary data determined by the forest land protection and utilization plan approved by the county-level or higher people's government), and the other is the survey and monitoring vector layer (i.e., the latest annual forest, grassland, and wetland survey and monitoring results data).

[0032] Since the two types of audit base maps come from different business departments, their attribute fields may have duplicate names (for example, both contain the "DI_LEI" field to represent land categories). Direct spatial analysis would lead to field conflicts. Therefore, the first step is to standardize the fields of the two types of audit base maps—specifically, by adding a unified prefix to all attribute fields of each layer (for example, adding the prefix "LB20_" to the planning approval layer and the prefix "PC24_" to the survey and monitoring vector layer), so that the field names of each layer are unique.

[0033] After field standardization, spatial intersection analysis is performed between the two types of audit base maps and the user-submitted application vector layer. The purpose of spatial intersection analysis is to crop the audit base map to only cover the project area defined by the application vector layer, generating an intermediate layer for the audit file. This step effectively reduces the amount of data required for subsequent processing.

[0034] Subsequently, a spatial union analysis is performed between the application vector layer and the intermediate layer of the review file. The spatial union analysis ensures that each patch in the application vector layer carries all attribute information of the overlapping parts of the spatial location of the patch in the planning approval layer and the survey and monitoring vector layer, forming a spatially corresponding attribute union layer.

[0035] Finally, based on the preset field mapping rules, the core attribute fields for forest land identification are selected and extracted from the joint analysis results, including the declaration attribute (the result of forest land / non-forest land identified by the user), the planning approval attribute (the forest land / non-forest land determined by the plan), and the survey and monitoring attribute (the forest land / non-forest land in the current status survey). A structured forest land identification and review standard database is constructed for subsequent steps.

[0036] In practical applications, after analyzing the intersection of the forest land survey plots submitted by users with the space of the audit base map, an audit archive layer is created. Then, after jointly analyzing the space of the forest land survey plots and the audit archive layer, a database of forest land identification and audit standards is created.

[0037] (1) Forest land survey plot for construction projects. This is a polygonal vector layer submitted by the user for the review of forest land use for construction projects. Its database logical structure is (OBJECTID, SHAPE, county, township, village, serial number, plot, area, forest land, forest land type, reason for forest land recognition, type of forest land evidence).

[0038] Forest land is the result of on-site investigation and final identification by the user. The forest land value range is divided into two categories: forest land and non-forest land.

[0039] Users can fill in three fields—forest land type, reason for forest land identification, and type of supporting evidence—using the existing baseline data to reflect the forest land identification process and results.

[0040] The forest land type value range includes four categories: consistent forest land, newly added forest land, transferred forest land, and consistent non-forest land.

[0041] Based on forest land type, the reasons for identifying consistent forest land are categorized into five types: uniformly consistent forest land, forest land cleared for reclamation, illegally used forest land, and forest land with expired approvals. Expired approval forest land refers to land that has been approved as forest land through planning, surveys, monitoring, or vector layer identification, and for which there are historical approval marks such as expired permanent forest land occupation approvals, temporary forest land occupation approvals, or approvals for auxiliary facilities occupying forest land. The reasons for identifying supplementary forest land are categorized into eight types: supplementary forest land ownership certificates, supplementary approvals for expired forest land, supplementary cases involving deforestation and grassland destruction, supplementary projects such as the Grain for Green Program, supplementary reviews for error correction, supplementary evidence such as images, supplementary government certifications, and supplementary planning for forest protection. The reasons for identifying forest land as being transferred out are 8 categories, including: transfer of real estate ownership certificates, transfer of approvals for permanent forest land, temporary auxiliary grassland, wetlands, etc., transfer of permits for conversion to agricultural facilities, transfer of documents for error correction, transfer of evidence such as images, transfer of government certificates, transfer of national airspace planning, and transfer of farmland protection red lines. The reason for identifying forest land as consistently non-forest land is category 1: consistently non-forest land.

[0042] The range of forest land evidence types includes 10 categories: real estate ownership certificates, permanent and temporary forestry and grassland approvals, cases involving deforestation and grassland destruction, projects such as returning farmland to forest and grassland, review types such as error correction, evidence types such as images, government certifications, approvals for the conversion of agricultural facilities, planning types such as forest protection, and farmland protection red lines.

[0043] (2) Create the audit archive layer. Each field in the audit base map is assigned a prefix name according to its layer name. Then, all fields in the layer are given a uniform prefix using this name. Finally, all audit base map layers with the prefix are intersected with the forest land survey plot space of the construction project to form the audit archive layer.

[0044] The base map for review is divided into two types: survey and monitoring data and planning approval data, both of which are polygon vector layers. Survey and monitoring data includes the latest annual survey and monitoring results of forest, grassland, and wetland desertification, used to reflect the current land use status. For example, the latest annual survey and monitoring results of forest, grassland, and wetland desertification are the results of the 2024 forest, grassland, and wetland desertification census. Planning approval data refers to the forest land management boundary data determined by the planning approved by the county-level or higher people's government, and is the legal basis for forest land management boundaries. For example, the current planning approval data is the 2020 "One Map" of forest resource management, which is the forest land management boundary determined by the forest land protection and utilization plan approval.

[0045] During spatial intersection analysis, since all fields on the audited base map have prefixes, duplicate fields will not appear. At this point, the audited archive layer only covers the forest land survey sub-layer, effectively reducing the amount of data analyzed. For example, all fields in the 2020 Forest Resource Management "One Map" are prefixed with "LB20_", and the DI_LEI field for forest land identification is modified to LB20_DI_LEI. Similarly, all fields in the 2024 Forest, Grassland, Wetland, and Desertification Survey results are prefixed with "PC24_", and the di_lei field for forest land identification is modified to PC24_di_lei.

[0046] (3) Create a database of forest land identification and review standards. Perform spatial joint analysis (Union) of the forest land survey plots of the construction project and the review archive layers to form a joint layer covering the forest land survey plots, forest land attributes of the survey and monitoring, and forest land attributes of the planning approval. According to the field requirements of the forest land identification and review standards database, select the forest land identification fields from the joint layer to form the forest land identification and review standards database.

[0047] The logical structure of the forest land identification and review standard database is (OBJECTID, SHAPE, county, township, village, serial number, sub-compartment, area, forest land, forest land type, reason for forest land identification, type of supporting evidence for forest land, LB20_DI_LEI, PC24_di_lei). Among them, LB20_DI_LEI represents the forest land attribute from the survey and monitoring, and PC24_di_lei represents the forest land attribute from the planning approval.

[0048] S2, Automatic labeling of forest land identification types: Read the forest land attribute values ​​of the planning approval and the forest land identification attribute values ​​of the declared vector layer from the forest land identification review standard database for each map patch, and automatically label each map patch with forest land identification type tags including consistent forest land, added forest land, removed forest land and consistent non-forest land through attribute logic comparison; In step S2, the automatic labeling of forest land identification type for each map patch through attribute logic comparison specifically involves: When the approved forest land attribute is forest land and the declared forest land attribute in the vector layer is also forest land, it is marked as consistent forest land; When the approved forest land attribute is non-forest land but the declared forest land attribute in the vector layer is forest land, it is marked as supplementary forest land. When the approved forest land attribute is forest land but the declared forest land attribute in the vector layer is non-forest land, it is marked as removed forest land. When the approved forest land attribute is non-forest land and the declared vector layer forest land attribute is also non-forest land, it should be marked as consistent non-forest land.

[0049] In practical application, the conditions for "consistent forest land type" are: the reviewed map patch is forest land in the planning approval and also forest land in the forest land survey plot used in the construction project; the conditions for "added forest land type" are: the reviewed map patch is non-forest land in the planning approval and also forest land in the forest land survey plot used in the construction project; the conditions for "removed forest land type" are: the reviewed map patch is forest land in the planning approval and also non-forest land in the forest land survey plot used in the construction project; and the conditions for "consistent non-forest land type" are: the reviewed map patch is non-forest land in the planning approval and also non-forest land in the forest land survey plot used in the construction project. It should be noted that in this application, the reviewed map patch refers to a single polygonal plot currently being processed by the system. As the smallest unit of spatial analysis, it includes geometric information such as shape, area, and location, as well as attribute information related to land use identification, such as forest land attribute values ​​in the planning approval, forest land attribute values ​​in the survey and monitoring, and forest land identification attribute values ​​in the declared vector layer.

[0050] After labeling is completed, each map patch is assigned a forest land identification type label, which serves as the classification basis for subsequent type review. In practice, the forest land field in the planning approval is

LB20_DI_LEI

Forest Land

Review Forest Land Identification Type

[0051] S3, Automatic matching of identification reasons and supporting evidence types: Based on the forest land identification type label, a pre-set classification forest land identification reason judgment rule library is called, and the forest land attribute values ​​in the planning approval and the forest land attribute values ​​in the survey and monitoring are combined to automatically generate corresponding forest land identification reason labels for each map patch; Based on the pre-set reason-supporting evidence mapping rules, corresponding supporting material type labels are generated based on the forest land identification reason labels. In step S3, the rule base for determining the cause of forest land classification includes a subset of rules that correspond one-to-one with the forest land classification type label: The rules for identifying consistent forest land types include: consistent forest land, deforestation for reclamation, illegal use of forest land, and forest land whose approval has expired or which has been reserved. The rules for the corresponding supplementary forest land types include the following reasons for recognition: supplementary land use rights, supplementary land use approvals, supplementary land use cases, supplementary land use projects, supplementary land use review and correction, supplementary land use image evidence, supplementary land use government certification, or supplementary land use planning. The rules for the corresponding types of forest land to be transferred out include the following reasons: transfer out based on certificates, transfer out based on approvals, transfer out based on agricultural facility permits, transfer out based on review and correction, transfer out based on image evidence, transfer out based on government certification, transfer out based on planning, or transfer out based on farmland protection red lines. The rule subset corresponding to the same non-forest land type is identified based on the following reasons: all are non-forest land.

[0052] The cause-supporting evidence mapping rule is a one-way unique mapping relationship: each type of forest land identification cause corresponds to a unique and definite type of supporting material. The supporting material types include certificate type, forestry and grassland approval type, case type, project type, review and correction type, image evidence type, government certificate type, approval document type, planning type, and arable land protection red line type.

[0053] In practical application, the one-way unique mapping relationship between the identified cause and the type of supporting material is as follows: The supporting document type for adding and removing warrants is warrants. The supporting document type for both approval-related additions and removals is forestry and grassland approval. The supplementary supporting materials for each case should be of the case type. For engineering-related supplementary materials, the corresponding supporting material type should be engineering-related. The supporting materials for "Review and Correction Supplement" and "Review and Correction Retrieval" are classified as "Review and Correction Category". The supporting materials for supplementing and retrieving video evidence are classified as video evidence. The supporting document type for adding and removing government certificates is "government certificate category". The supporting documents for agricultural facility permits are classified as permits. The supporting materials for both adding and removing planning-related documents are of the planning category. The supporting materials for adjusting the red line for farmland protection are classified as farmland protection red line type.

[0054] In the subset of rules corresponding to consistent forest land types, the criteria for determining each identification reason are as follows: When the forest land attribute value is forest land in the planning approval, forest land attribute value in the survey and monitoring, and forest land attribute value in the application vector layer identification, and there is no special mark, a consistent forest land label will be generated; When the forest land attribute value is forest land in the planning approval, forest land attribute value is forest land in the survey and monitoring, forest land attribute value is forest land in the application vector layer identification, and there are deforestation and reclamation markers, a deforestation and reclamation forest land label is generated. When the forest land attribute value is forest land in the planning approval, forest land attribute value in the survey and monitoring, forest land attribute value in the application vector layer identification, and there are illegal forest land use markers, an illegal forest land use label is generated. When the forest land attribute value is forest land in the planning approval, forest land attribute value in the survey and monitoring, forest land attribute value in the application vector layer identification, and there is an approval mark for forest land with expired approval, an expired approval forest land label will be generated. When the approved forest land attribute is forest land, the surveyed and monitored forest land attribute is non-forest land, and the declared vector layer forest land attribute is forest land, a forest land preservation label is generated.

[0055] In the rule subset corresponding to the type of supplementary forest land, the criteria for determining each reason are as follows: When the approved forest land attribute is non-forest land, the forest land identification attribute in the application vector layer is forest land, and the forest land identification reason in the application vector layer is marked as certificate type, a certificate type supplementary label is generated. When the approved forest land attribute is non-forest land, the forest land identification attribute in the application vector layer is forest land, and the forest land identification reason in the application vector layer is marked as approval type, an approval type supplementary label is generated. When the approved forest land attribute is non-forest land, the declared forest land attribute in the vector layer is forest land, and the reason for forest land identification in the declared vector layer is marked as case type, a case type supplementary label is generated. When the approved forest land attribute is non-forest land, the forest land identification attribute in the application vector layer is forest land, and the forest land identification reason in the application vector layer is marked as engineering, an engineering category supplementary label will be generated. When the approved forest land attribute is non-forest land, the forest land identification attribute in the declared vector layer is forest land, and the reason for forest land identification in the declared vector layer is marked as review and correction, a review and correction supplement label is generated. When the approved forest land attribute is non-forest land, the forest land identification attribute in the declared vector layer is forest land, and the forest land identification reason in the declared vector layer is marked as image evidence, an image evidence supplement label is generated. When the approved forest land attribute is non-forest land, the forest land identification attribute in the application vector layer is forest land, and the forest land identification reason in the application vector layer is marked as government certification, a government certification supplement label will be generated. When the approved forest land attribute is non-forest land, the declared forest land attribute in the vector layer is forest land, and the reason for forest land identification in the declared vector layer is marked as planning, a planning category supplementary label is generated.

[0056] In the rule subset corresponding to the type of forest land to be removed, the criteria for determining each reason are as follows: When the approved forest land attribute is forest land, the forest land identification attribute in the application vector layer is non-forest land, and the forest land identification reason in the application vector layer is marked as certificate type, a certificate type tag will be generated. When the approved forest land attribute is forest land, the forest land identification attribute in the application vector layer is non-forest land, and the forest land identification reason in the application vector layer is marked as approval type, an approval type call-out label will be generated. When the approved forest land attribute is forest land, the declared forest land attribute in the vector layer is non-forest land, and the reason for forest land identification in the declared vector layer is marked as agricultural facility approval, an agricultural facility approval tag will be generated. When the approved forest land attribute is forest land, the forest land identification attribute in the application vector layer is non-forest land, and the reason for forest land identification in the application vector layer is marked as review and correction type, a review and correction recall label will be generated. When the approved forest land attribute is forest land, the declared forest land attribute in the vector layer is non-forest land, and the reason for forest land identification in the declared vector layer is marked as image evidence, an image evidence retrieval label is generated. When the approved forest land attribute is forest land, the forest land identification attribute in the application vector layer is non-forest land, and the forest land identification reason in the application vector layer is marked as government certification, a government certification recall label will be generated. When the approved forest land attribute is forest land, the declared forest land attribute in the vector layer is non-forest land, and the reason for forest land identification in the declared vector layer is marked as planning, a planning category tag will be generated. When the approved forest land attribute is forest land, the forest land identification attribute in the declared vector layer is non-forest land, and the reason for forest land identification in the declared vector layer is marked as farmland protection red line, a farmland protection red line recall label is generated.

[0057] For the rule subset corresponding to the same non-forest land type, the determination criteria for the identification reason are as follows: When the approved forest land attribute is non-forest land and the declared vector layer forest land attribute is also non-forest land, a matching non-forest land label is generated for both.

[0058] In practical application, based on the surveyed and monitored forest land and the planned and approved forest land in the project review standard database, the reasons for identifying forest land of consistent forest land types are determined, and the reasons for identifying forest land determined by the review are marked in the newly added review forest land identification reason field.

[0059] The reasons for identifying forest land of the same type include five categories: uniform forest land, forest land cleared for reclamation, forest land illegally used, forest land whose approval has expired, and forest land that has been reserved.

[0060] The reason for the forest land identification is that the forest land conditions are consistent: the reviewed map plots were forest land in the planning approval, forest land in the survey and monitoring, and forest land in the survey plots for the use of forest land in the construction project, without any special markings; The reason for identifying forest land is that the conditions for deforestation and reclamation of forest land are that the reviewed map plots are forest land in the planning approval, forest land in the survey and monitoring, and forest land in the survey plots for the use of forest land in the construction project, and the deforestation and reclamation are marked as existing forest land. The reason for identifying forest land as illegal use of forest land is that the reviewed map plots were forest land in the planning approval, forest land in the investigation and monitoring, and forest land in the forest land use survey plots of the construction project, thus marking the existence of illegal use of forest land; The reason for the forest land identification is that the conditions for the expired approval of forest land are that the reviewed map plots are forest land in the planning approval, forest land in the survey and monitoring, and forest land in the survey plots for the use of forest land in construction projects, and the forest land with expired approval is marked. The reason for the forest land designation is that the forest land was designated as forest land in the planning approval, non-forest land in the survey and monitoring, and forest land in the forest land survey plot used in the construction project.

[0061] In practice, the forest land identification field in the planning approval is

LB20_DI_LEI

PC24_di_lei

Forest Land

Reason for Reviewing Forest Land Identification

[0062] Based on the surveyed and monitored forest land and the approved forest land in the project review standard database, determine the reasons for the forest land identification of the supplementary forest land type, and mark the reasons for the forest land identification determined by the review to the newly added review forest land identification reason field.

[0063] The reasons for adding forest land types to the list include eight categories: addition of forest tenure certificates, approvals for expired permanent, temporary, and auxiliary land use rights, cases of deforestation and grassland destruction, projects such as returning farmland to forest and protecting the environment, review for error correction, evidence such as images, government certifications, and planning for forest protection.

[0064] The reason for the forest land identification is that the conditions for supplementing the forest tenure certificate and other certificates are that the reviewed map plots were not forest land in the planning approval, and based on the supplementation of the forest tenure certificate and other certificates, they were identified as forest land in the forest land survey plots used in the construction project. The reason for the forest land designation is that the conditions for supplementing the approval of permanent, temporary, and auxiliary land use upon expiration are that the reviewed map plots were not forest land in the planning approval, and were determined to be forest land in the forest land survey plots used in the construction project based on the conditions for supplementing the approval of permanent, temporary, and auxiliary land use upon expiration. The reason for forest land identification is supplementary cases such as deforestation and grassland destruction. The condition for supplementary cases is that the reviewed map plots are not forest land in the planning approval. Based on the supplementary cases of deforestation and grassland destruction, they are identified as forest land in the forest land survey plots used in the construction project. The reason for the forest land designation is that the conditions for the addition of projects such as the Grain for Green Project are that the reviewed map plots were not forest land in the planning approval, but were determined to be forest land in the forest land survey plots used in the construction project based on the addition of projects such as the Grain for Green Project. The reason for the forest land identification was that the review and supplementary conditions, such as the correction of errors, were that the reviewed map patch was not forest land in the planning approval. Based on the review and supplementary conditions, it was identified as forest land in the forest land survey plot used in the construction project. The reason for the forest land identification was that the conditions for supplementing evidence such as images were that the reviewed map patch was not forest land in the planning approval, and based on the supplementing evidence such as images, it was identified as forest land in the forest land survey plot used in the construction project. The reason for the forest land designation is that the supplementary conditions, such as government certification, are that the reviewed map plots were not forest land in the planning approval, and based on the supplementary certification from the government, they were determined to be forest land in the forest land survey plots used in the construction project. The reason for the identification of forest land is that the conditions for supplementing the forest protection and other planning are that the reviewed map plots were not forest land in the planning approval, and were identified as forest land in the forest land survey plots used in the construction project based on the supplementing of the forest protection and other planning.

[0065] Based on the surveyed and monitored forest land and the approved forest land in the project review standard database, determine the reasons for the removal of forest land types and mark the reasons for the forest land identification in the newly added review forest land identification reason field.

[0066] The reasons for removing forest land from the forest land type include eight categories: removal of real estate certificates, removal of permanent, temporary, and auxiliary grassland approvals, removal of approvals for conversion to agricultural facilities, removal of corrections and other audits, removal of evidence such as images, removal of government certificates, removal of national and airspace planning, and removal of farmland protection red lines.

[0067] The reason for identifying forest land is that the conditions for removing non-forest land based on real estate ownership certificates are that the reviewed map plots are forest land in the planning approval, and non-forest land based on real estate ownership certificates. In the survey plots of forest land used in construction projects, it is determined to be non-forest land. The reason for the forest land designation is that the approval of permanent, temporary, auxiliary grassland and wetland permits maintains the non-forest land condition. The condition for the removal of the forest land is that the reviewed map plot is forest land in the planning approval, and the non-forest land is maintained based on the approval of permanent, temporary, auxiliary grassland and wetland permits. It is determined to be non-forest land in the forest land survey plot used in the construction project. The reason for the forest land designation is that the approval for conversion to agricultural facilities and other permits keeps the land as non-forest land. The condition for the land transfer is that the reviewed map plot is forest land in the planning approval, and it is kept as non-forest land based on the approval for conversion to agricultural facilities and other permits. It is determined to be non-forest land in the forest land survey plots used in the construction project. The reason for identifying forest land is that the review and correction of errors maintains the condition of non-forest land removal. The review and correction of errors maintains the condition of non-forest land removal. The condition is that the reviewed map plot is forest land in the planning approval, and the non-forest land is maintained in the forest land survey plot of the construction project. The reason for identifying forest land is to maintain non-forest land based on evidence such as images. The condition for removing the land parcel is that the reviewed map parcel is forest land in the planning approval, and it is maintained as non-forest land based on evidence such as images. It is then determined to be non-forest land in the forest land survey plot used in the construction project. The reason for the forest land designation is that the government and other authorities have certified that the condition for maintaining non-forest land is that the reviewed map plots were forest land in the planning approval, and based on the government and other authorities' certification to maintain non-forest land, the land was determined to be non-forest land in the forest land survey plots used in the construction project. The reason for the forest land designation is that the conditions for removing non-forest land under the national air and space planning are that the reviewed map plots were forest land in the planning approval, and non-forest land was maintained according to the national air and space planning. In the forest land survey plots used in the construction project, it was determined to be non-forest land. The reason for identifying the land as forest land is that the conditions for removing it from the farmland protection red line are that the reviewed map plots were forest land in the planning approval, but were removed according to the farmland protection red line, and were determined to be non-forest land in the forest land survey plots used in the construction project.

[0068] Based on the surveyed and monitored forest land and the approved forest land in the project review standard database, determine the reasons for identifying forest land of the same non-forest land type, and mark the reasons for identifying forest land as the reasons for identifying forest land in the review.

[0069] The reasons for identifying forest land of consistent non-forest land type include that there is a total of 1 category of consistent non-forest land.

[0070] The reason for identifying forest land is that the non-forest land condition is consistent: the reviewed map plot was identified as forest land in the planning approval, but was determined to be non-forest land in the forest land survey plot used in the construction project.

[0071] Based on the reasons for reviewing forest land identification, determine the type of supporting materials for the forest land identification, and mark the identified supporting material type in the newly added field for reviewing forest land supporting materials. In practice, the newly added field for reviewing forest land identification supporting material type is

Reviewed Forest Land Identification Supporting Material Type

[0072] The reasons for identifying forest land corresponding to real estate and other property rights certificates are: the addition of forest rights certificates and other property rights certificates, and the transfer of real estate and other property rights certificates.

[0073] The reasons for the forest land identification corresponding to the approval types of permanent, temporary, and auxiliary forest and grassland are: the approval of forest land that has expired and the approval of permanent forest land, temporary auxiliary grassland, wetland, etc., being transferred out.

[0074] The reason for identifying forest land in cases involving deforestation and grassland destruction is: cases involving deforestation and grassland destruction are supplemented.

[0075] The reason for recognizing forest land corresponding to projects such as the Grain for Green Program is: supplementary inclusion of projects such as the Grain for Green Program.

[0076] The reasons for forest land identification corresponding to the error correction and other review types are: error correction and other review supplementation, error correction and other review removal.

[0077] The reasons for identifying forest land corresponding to the types of evidence such as images are: supplementation of evidence such as images, and removal of evidence such as images.

[0078] The reasons for the recognition of forest land corresponding to the types of government-issued certificates are: supplementation of government-issued certificates and removal of government-issued certificates.

[0079] The reason for the removal of the corresponding forest land from the approval documents for the conversion of agricultural facilities is: the approval documents for the conversion of agricultural facilities were removed.

[0080] The reasons for identifying forest land corresponding to forest protection and other planning types are: forest protection and other planning are added, and national airspace and other planning are removed.

[0081] The reason for identifying forest land corresponding to the red line for arable land protection is: the red line for arable land protection has been removed.

[0082] S4, Verification of the integrity of supporting data: Based on the supporting material type label, retrieve the corresponding supporting electronic files and supporting vector layers respectively; verify the integrity of the supporting electronic files, and verify the spatial coverage consistency between the supporting vector layers and the corresponding map patches, and generate supporting material verification result labels; The verification result labels generated in step S4 include four categories: missing supporting electronic files, missing supporting vector layers, supporting vector layers not covering the corresponding map patch area, and complete supporting data for forest land.

[0083] The verification in step S4 specifically includes: verifying whether the supporting electronic documents exist, verifying whether the supporting vector layer exists, and verifying whether the spatial range of the supporting vector layer completely covers the corresponding identified patch area.

[0084] In practical application, based on the type of supporting evidence for forest land identification, the content of the supporting materials for forest land identification is determined, and the content of the supporting materials for forest land identification is marked in the newly added field for the content of supporting materials for forest land identification. In actual operation, the newly added field for the content of supporting materials for forest land identification is

Supporting Forest Land Identification Content

[0085] Specific requirements for reviewing supporting documentation for forest land: (1) For all forest land and non-forest land except for uniformly consistent forest land, supporting materials must be provided for the map plots for which forest land is identified.

[0086] (2) The supporting materials include one set of PDF scans and one set of vectorized layers matching the scans. For example, if the supporting materials for forest land are of the type of real estate certificate, the required materials for review are one set of PDF scans of the certificate and one set of vectorized layers matching the certificate. (3) The vector range must include or be equal to the range of the evidence patch. It can be a separate library or all layers can be a library together.

[0087] (4) PDF scans and evidence images are matched separately and stored in the system-generated directory.

[0088] (5) The content and description of the PDF scan should match the content of the provided vector layer.

[0089] (6) The provider of supporting materials shall be responsible for the authenticity of the supporting materials such as PDF scans and vector ranges, and shall sign a letter of commitment to authenticity.

[0090] (7) Based on the type of supporting evidence for forest land identification, check the completeness of the supporting forest land materials such as PDF and vector layers provided by the user. If the PDF is missing, mark the content of the supporting forest land materials as “supporting PDF file missing”. If the vector layer is missing, mark the content of the supporting forest land materials as “vector layer missing”. If the vector layer is not completely covered, mark the content of the supporting forest land materials as “vector layer does not cover the supporting map patch area”. If there are no problems, mark “the supporting forest land materials are complete”.

[0091] Each map patch is processed sequentially, including matching the cause of forest land identification, matching the type of supporting evidence, and verifying the supporting data, until all map patches in the audit standard database are processed. Then, step S5 is executed.

[0092] S5, Output of Discrepancies: The generated forest land identification reason labels and supporting material type labels are compared with the corresponding original labels filled in by the user on a plot-by-plot basis. Combined with the supporting material verification result labels, plot data with inconsistent identification are filtered out, packaged to generate a forest land identification review result dataset and returned to the user's client.

[0093] In step S5, each inconsistent patch in the forest land identification and review result dataset is accompanied by a corresponding problem type identifier, which includes inconsistent identification reasons, inconsistent supporting evidence types, missing supporting materials, and mismatched spatial range. Based on the verification results of supporting materials, when the labels for the reasons for forest land identification are inconsistent, the labels for the types of supporting materials are inconsistent, or the verification results of supporting materials are incomplete, the map patch is marked as an inconsistent map patch; all inconsistent map patch data are filtered, packaged to generate a forest land identification review result dataset and returned to the user client; The dataset of forest land identification and verification results includes the following fields for each map patch: Map patch spatial information, administrative division information, map patch number, area, forest land identification attribute value of the declared vector layer, forest land attribute value of the approved plan, forest land attribute value of the survey and monitoring, forest land identification type label, forest land identification reason label, supporting material type label, supporting material verification result label, and review conclusion label.

[0094] The audit conclusion label is marked as consistent when the audit findings are consistent, and marked as inconsistent when the audit findings are inconsistent.

[0095] In practical application, when the reason for forest land identification is consistent with the reason for forest land identification under review, and the type of supporting evidence for forest land identification is consistent with the type of supporting evidence for forest land identification under review, and the content of the supporting evidence for forest land identification under review is "complete supporting evidence for forest land", the conclusion of forest land identification is "consistent". Otherwise, the conclusion of forest land identification is "inconsistent". The conclusion of forest land identification is marked in the newly added field of the conclusion ...

[0096] In practice, the newly added field for reviewing the forest land identification conclusion is

Review Forest Land Identification Conclusion

[0097] The logical structure of the forest land identification result database is (OBJECTID, SHAPE, county, township, village, serial number, sub-compartment, area, forest land, forest land type, reason for forest land identification, type of supporting evidence for forest land, LB20_DI_LEI, PC24_di_lei, review forest land type, review reason for forest land identification, review type of supporting evidence for forest land, review content of supporting evidence for forest land, review conclusion of forest land identification).

[0098] It should be noted that the rule base for determining the causes of forest land classification and the cause-supporting evidence mapping rules both support configurable updates. The causes, conditions and corresponding supporting evidence requirements can be added, modified or deleted according to the adjustment of forest land management policies to adapt to the review standards of different periods.

[0099] The present invention also provides a forest land identification system for the approval of forest land use in construction projects, for executing the forest land identification method in the approval of forest land use in construction projects as described above, including a client-side forest land identification application subsystem and a server-side forest land identification review subsystem; like Figure 3 The client-side forest land identification and application subsystem (used for users to import, self-check, and submit forest land identification data on the client side) includes: The data import module is used to receive spatial and non-spatial data for forest land identification and review imported by users. The spatial data includes project red line data, forest land declaration vector layer data, and evidence vector layer data. The non-spatial data includes project reports, statistical tables, and supporting electronic documents. During the application process, after logging into the system, users submit spatial and non-spatial data according to the materials list. Spatial data includes red line data, forest plot data, and supporting data, while non-spatial data includes project reports, statistical tables, and supporting materials.

[0100] The integrity self-check module is used to perform self-checks on the integrity of the directory structure, spatial data integrity, and non-spatial data integrity of imported data. During application, users perform a self-check on the catalog and data integrity of the imported data. This includes catalog integrity, spatial data integrity, and non-spatial data integrity. Catalog integrity checks for missing organizational directories in the data output files; spatial data integrity checks for missing spatial data required by the file; and non-spatial data integrity checks for missing non-spatial data required by the file. Specific catalog requirements are as follows: The bill of materials is provided as follows: │──Project Name + Date (8-digit date) + Materials List │──Spatial Data │Spatial Data.GDB │Project boundary line │Purpose of Construction │Priority Land Use Red Line │Change of project boundary line │ Forest Subcommittee │Evidence │Review Files │──Non-spatial data │Results Report │Project Name + Outcome Report.docx │Statistical Table │Table 1+Survey Form of Forest Land Use Factors for Construction Project.xlsx │Table 2+…….xlsx │ Supporting documents │Patch number + patch + data type │…… The self-inspection module is used to self-inspect imported data for compliance with file structure, spatial reference, data structure, field value range, graphic topology, and supporting materials. During the application process, users perform a self-check on the imported data to ensure the compliance of file structure, data visualization, and supporting materials. This includes checking the compliance of file structure, data basis, data structure, value range, visualization, and supporting materials.

[0101] Among them, file structure standardization is to check whether the file structure conforms to the output naming rules and directory organization requirements; Data fundamental standardization involves checking whether the coordinate system adopts the "2000 National Geodetic Coordinate System", the elevation system adopts the "1985 National Elevation Datum", the projection adopts the Gauss-Kruger projection, and the vector data topology tolerance is 0.0001. Data structure compliance involves checking whether the layer attribute structure and table structure conform to the file requirements. Value range standardization checks whether the field values ​​conform to the value range standard requirements, whether the field values ​​do not contain special characters, whether the required fields of layer attributes are not empty, and whether the values ​​of layer attribute fields conform to the requirements of this document. The standardization of graphic mapping involves checking whether elements within a layer overlap, whether the area and shape of the map patch meet the document requirements, whether there are combined map patches within a layer, and whether there are graphic problems such as fragmented polygons, sharp corners, self-intersections, and incorrect loop directions within a layer. The standardization of supporting materials involves checking whether the supporting materials are organized into a single PDF file; whether the naming of the supporting materials is standardized; and whether the supporting materials are consistent with the requirements for the type of supporting data in the forest plot.

[0102] The data submission module is used to submit all review materials to the server-side forest land identification and review subsystem after both the completeness self-check and the standardization self-check have passed. like Figure 4 The server-side forest land identification and review subsystem (used by the server to conduct preliminary review of materials after receiving forest land identification materials submitted by users, including completeness checks and standardization checks, to create a forest land identification and review standard database, and to focus on reviewing the reasons for forest land identification and supporting materials, and returning review results and opinions) includes: The review and acceptance module is used to receive review materials submitted by users and update the acceptance status of review cases; it also receives materials provided by users and updates the case status to "Review accepted". The materials submitted by users are consistent with the material list, including spatial data and non-spatial data.

[0103] The material pre-review module is used to pre-review the completeness and compliance of submitted materials, and generate a list of pre-review issues. The rules for the completeness and compliance pre-review are consistent with the rules for the client's completeness self-check and compliance self-check. It checks the compliance and completeness of user-submitted materials, generates a list of pre-review issues, and updates the case status to "Material pre-review completed." The rules for compliance and completeness checks are consistent with the user's client-side compliance and completeness self-checks. The material pre-review issue list directly indicates whether the completeness and compliance have passed, and provides suggestions according to the verification items.

[0104] The review standard database construction module is used to perform spatial processing on the application vector layer, planning approval vector layer, and survey and monitoring vector layer to construct a forest land identification review standard database that integrates application attributes, planning approval attributes, and survey and monitoring attributes. After analyzing the intersection of the forest land survey plots submitted by users with the space of the review base map, a review file layer is created. Then, after joint analysis of the space of the forest land survey plots and the review file layer, a forest land identification review standard database is created. The review standard database construction module includes a review file layer creation module and a review standard database creation module. The review file layer creation module is used by review administrators to intersect the survey and monitoring vector layer (with prefixes added) and the planning approval layer with the space of the forest land survey plots of the construction project to form the review file layer.

[0105] The module for creating the audit standards database is used by audit administrators to perform spatial joint analysis (Union) between the forest land survey plots of construction projects and the audit archive layers to form a joint layer that covers the forest land survey plots, forest land attributes of survey and monitoring, and forest land attributes of planning approvals. Fields are then filtered to form the forest land identification audit standards database.

[0106] The forest land identification type labeling module is used to compare attributes on a map patch-by-map basis and automatically generate four types of forest land identification type labels. The review administrator compares the forest land approved in the planning with the forest land in the forest land survey plot of the construction project in the project review standard database and marks the determined forest land type results to the newly added forest land identification type review field.

[0107] The "Reason for Identification and Supporting Evidence Matching" module calls upon a categorized rule library to generate forest land identification reason tags and matches them with corresponding supporting material type tags. The review administrator, based on the surveyed and monitored forest land and the approved planning forest land in the project review standard database, determines the forest land identification reason and marks the determined forest land identification reason in the newly added "Reason for Identification of Forest Land" field. This includes four sub-modules: Consistent Forest Land Review Module: When a reviewed map patch is forest land in both the planning approval and the survey plot for forest land used in the construction project, the "Reason for Identification of Forest Land" field is marked as "Consistent Forest Land." Supplementary Forest Land Review Module: When a reviewed map patch is non-forest land in the planning approval but forest land in the survey plot for forest land used in the construction project, the "Reason for Identification of Forest Land" field is marked as "Supplementary Forest Land." Deselected Forest Land Review Module: When a reviewed map patch is forest land in the planning approval but non-forest land in the survey plot for forest land used in the construction project, the "Reason for Identification of Forest Land" field is marked as "Deselected Forest Land." The consistent non-forest land review module marks a non-forest land plot as both a non-forest land plot in the planning approval and a non-forest land plot in the construction project forest land survey, and marks the forest land identification reason field value as consistent non-forest land.

[0108] The supporting data verification module is used to retrieve and verify supporting electronic files and supporting vector layers, and generate supporting material verification result labels. The review administrator determines the type of supporting materials for the forest land based on the reason for the forest land identification and marks the identified forest land identification supporting material type to the newly added forest land supporting material field.

[0109] The review result return module is used to compare and generate discrepancies in the review results, encapsulate them into a forest land identification review result dataset, and return it to the client. The review administrator determines the content of the supporting materials for the forest land identification based on the type of supporting evidence, and marks the reviewed supporting materials content in a newly added field for "Reviewed Forest Land Supporting Materials Content." A list of forest land identification review issues is generated, including the reason for the forest land identification, the type of supporting materials, and the content of the supporting materials, and the case status is updated to "Forest Land Identification Review Completed."

[0110] This invention also provides a cloud platform for forest land identification in the approval process for the use of forest land in construction projects, comprising: The user terminal layer is equipped with the aforementioned client-side forest land identification and application subsystem, which runs on any one or more terminal devices such as PCs, laptops, mobile workstations, and tablets, and is used to provide users with data import, self-check, and reporting functions. The cloud service application layer deploys the aforementioned server-side forest land identification and review subsystem, which runs on an operating system, database platform, GIS platform, and network middleware to provide full-process forest land identification and review services. The basic cloud resource layer, including computing resource pools, storage resource pools, network resource pools, and a virtualization management platform, is used to provide elastic and scalable computing, storage, and network resource support for the cloud service application layer.

[0111] In practical application, the user terminal layer provides users with functions for importing forest land identification data, self-checking standardization, self-checking completeness, and submitting forest land identification data. The cloud service application layer provides users with functions for accepting forest land identification reviews, reviewing the standardization and completeness of materials, creating review archive layers, creating review standard databases, comparing and interpreting forest land identification types, reviewing the reasons for consistent forest land identification, reviewing the reasons for supplementing forest land identification, reviewing the reasons for removing forest land identification, reviewing the reasons for consistent non-forest land identification, reviewing the types of supporting evidence for forest land identification, reviewing the content of supporting evidence for forest land identification, and returning forest land identification results. The servers and workstations are equipped with the necessary operating systems, database platforms, GIS platforms, network middleware, and other application platforms to support the operation of the review server application system. The platform capabilities of the virtual machines are provided by the basic cloud platform. The basic cloud resource layer includes, but is not limited to, x86 computing servers that build computing resource pools, storage servers that build storage resource pools, network servers and gateways that build network resource pools, virtualization platform software that performs resource virtualization management, and application platforms such as operating systems, database platforms, GIS platforms, and network middleware deployed on the virtualization platform.

[0112] For those skilled in the art, various improvements and modifications can be made without departing from the principles of this invention, and these improvements and modifications should also be considered within the scope of protection of this invention.

Claims

1. A method for identifying forest land in the approval process for the use of forest land in construction projects, characterized in that, Includes the following steps: S1, Construction of the review standard database: Obtain the vector map layer of the forest land application submitted by the user for the construction project; after standardizing the fields of the preset planning approval vector map layer and the survey and monitoring vector map layer, perform spatial intersection analysis with the application vector map layer to generate an intermediate layer of the review archive covering the project scope; perform spatial joint analysis between the application vector map layer and the intermediate layer of the review archive, extract the attribute fields of forest land identification according to the preset field mapping rules, and construct a forest land identification review standard database that integrates application attributes, planning approval attributes, and survey and monitoring attributes; S2, Automatic labeling of forest land identification types: Read the forest land attribute values ​​of the planning approval and the forest land identification attribute values ​​of the declared vector layer from the forest land identification review standard database for each map patch, and automatically label each map patch with forest land identification type tags including consistent forest land, added forest land, removed forest land and consistent non-forest land through attribute logic comparison; S3, Automatic matching of identification reasons and supporting evidence types: Based on the forest land identification type label, a pre-set classification forest land identification reason judgment rule library is called, and the forest land attribute values ​​in the planning approval and the forest land attribute values ​​in the survey and monitoring are combined to automatically generate corresponding forest land identification reason labels for each map patch; Based on the pre-set reason-supporting evidence mapping rules, corresponding supporting material type labels are generated based on the forest land identification reason labels. S4, Verification of the integrity of supporting data: Based on the supporting material type label, retrieve the corresponding supporting electronic files and supporting vector layers respectively; verify the integrity of the supporting electronic files, and verify the spatial coverage consistency between the supporting vector layers and the corresponding map patches, and generate supporting material verification result labels; S5, Output of Discrepancies: The generated forest land identification reason labels and supporting material type labels are compared with the corresponding original labels filled in by the user on a plot-by-plot basis. Combined with the supporting material verification result labels, plot data with inconsistent identification are filtered out, packaged to generate a forest land identification review result dataset and returned to the user's client.

2. The method for identifying forest land in the approval process for the use of forest land in construction projects according to claim 1, characterized in that, Step S1 specifically includes: S1.1 Field standardization: Add a unique identifier prefix corresponding to each layer to all attribute fields of the planning approval vector layer and the survey and monitoring vector layer; S1.2 Spatial Intersection Clipping: Perform spatial intersection analysis on the planning approval vector layer with added identifier prefix, the survey and monitoring vector layer, and the construction project forest land declaration vector layer, and clip to obtain the intermediate layer of the review file that only covers the scope of the declaration vector layer; S1.3, Spatial Joint Integration: Perform spatial joint analysis on the vector map layer of the forest land declaration for the construction project and the intermediate layer of the review file to obtain a joint attribute layer with one-to-one spatial location; S1.4 Field Filtering and Database Building: Based on the preset forest land identification field mapping rules, extract the core attribute fields related to forest land identification from the attribute joint layer to generate a forest land identification review standard database.

3. The method for identifying forest land in the approval process for the use of forest land in construction projects according to claim 1, characterized in that, In step S2, the automatic labeling of forest land identification type for each map patch through attribute logic comparison specifically involves: When the approved forest land attribute is forest land and the declared forest land attribute in the vector layer is also forest land, it is marked as consistent forest land; When the approved forest land attribute is non-forest land but the declared forest land attribute in the vector layer is forest land, it is marked as supplementary forest land. When the approved forest land attribute is forest land but the declared forest land attribute in the vector layer is non-forest land, it is marked as removed forest land. When the approved forest land attribute is non-forest land and the declared vector layer forest land attribute is also non-forest land, it should be marked as consistent non-forest land.

4. The method for identifying forest land in the approval process for the use of forest land in construction projects according to claim 1, characterized in that, In step S3, the rule base for determining the cause of forest land classification includes a subset of rules that correspond one-to-one with the forest land classification type label: The rules for identifying consistent forest land types include: consistent forest land, deforestation for reclamation, illegal use of forest land, and forest land whose approval has expired or which has been reserved. The rules for the corresponding supplementary forest land types include the following reasons for recognition: supplementary land use rights, supplementary land use approvals, supplementary land use cases, supplementary land use projects, supplementary land use review and correction, supplementary land use image evidence, supplementary land use government certification, or supplementary land use planning. The rules for the corresponding types of forest land to be transferred out include the following reasons: transfer out based on certificates, transfer out based on approvals, transfer out based on agricultural facility permits, transfer out based on review and correction, transfer out based on image evidence, transfer out based on government certification, transfer out based on planning, or transfer out based on farmland protection red lines. The rule subset corresponding to the same non-forest land type is identified based on the following reasons: all are non-forest land.

5. The method for identifying forest land in the approval process for the use of forest land in construction projects according to claim 4, characterized in that, The cause-supporting evidence mapping rule is a one-way unique mapping relationship: each type of forest land identification cause corresponds to a unique and definite type of supporting material. The supporting material types include certificate type, forestry and grassland approval type, case type, project type, review and correction type, image evidence type, government certificate type, approval document type, planning type, and arable land protection red line type.

6. The method for identifying forest land in the approval process for the use of forest land in construction projects according to claim 5, characterized in that, In the subset of rules corresponding to consistent forest land types, the criteria for determining each identification reason are as follows: When the forest land attribute value is forest land in the planning approval, forest land attribute value in the survey and monitoring, and forest land attribute value in the application vector layer identification, and there is no special mark, a consistent forest land label will be generated; When the forest land attribute value is forest land in the planning approval, forest land attribute value is forest land in the survey and monitoring, forest land attribute value is forest land in the application vector layer identification, and there are deforestation and reclamation markers, a deforestation and reclamation forest land label is generated. When the forest land attribute value is forest land in the planning approval, forest land attribute value in the survey and monitoring, forest land attribute value in the application vector layer identification, and there are illegal forest land use markers, an illegal forest land use label is generated. When the forest land attribute value is forest land in the planning approval, forest land attribute value in the survey and monitoring, forest land attribute value in the application vector layer identification, and there is an approval mark for forest land with expired approval, an expired approval forest land label will be generated. When the approved forest land attribute is forest land, the surveyed and monitored forest land attribute is non-forest land, and the declared vector layer forest land attribute is forest land, a forest land preservation label is generated.

7. The method for identifying forest land in the approval process for the use of forest land in construction projects according to claim 1, characterized in that, The verification result labels generated in step S4 include four categories: missing supporting electronic files, missing supporting vector layers, supporting vector layers not covering the corresponding map patch area, and complete supporting data for forest land.

8. The method for identifying forest land in the approval process for the use of forest land in construction projects according to claim 1, characterized in that, In step S5, each inconsistent patch in the forest land identification and review result dataset is accompanied by a corresponding problem type identifier, which includes inconsistent identification reasons, inconsistent supporting evidence types, missing supporting materials, and mismatched spatial range. And / or, in conjunction with the verification results of supporting materials, when the labels for the reasons for forest land identification are inconsistent, the labels for the types of supporting materials are inconsistent, or the verification results of supporting materials are incomplete, the map patch shall be marked as an inconsistent map patch. Filter all inconsistent map data, encapsulate and generate a forest land identification review result dataset and return it to the user client; And / or, the forest land identification and review result dataset contains the following fields for each map patch: Map patch spatial information, administrative division information, map patch number, area, forest land identification attribute value of the declared vector layer, forest land attribute value of the approved plan, forest land attribute value of the survey and monitoring, forest land identification type label, forest land identification reason label, supporting material type label, supporting material verification result label, and review conclusion label.

9. A forest land identification system for the approval of forest land use in construction projects, characterized in that, The method for forest land identification in the approval of forest land use for construction projects as described in any one of claims 1 to 8 includes a client-side forest land identification application subsystem and a server-side forest land identification review subsystem. The client-side forest land identification and application subsystem includes: The data import module is used to receive spatial and non-spatial data for forest land identification and review imported by users. The spatial data includes project red line data, forest land declaration vector layer data, and evidence vector layer data. The non-spatial data includes project reports, statistical tables, and supporting electronic documents. The integrity self-check module is used to perform self-checks on the integrity of the directory structure, spatial data integrity, and non-spatial data integrity of imported data. The self-inspection module is used to self-inspect imported data for compliance with file structure, spatial reference, data structure, field value range, graphic topology, and supporting materials. The data submission module is used to submit all review materials to the server-side forest land identification and review subsystem after both the completeness self-check and the standardization self-check have passed. The server-side forest land identification and verification subsystem includes: The review and acceptance module is used to receive review materials submitted by users and update the acceptance status of review cases. The materials pre-review module is used to pre-review the completeness and standardization of submitted materials and generate a list of pre-review issues; the rules for the completeness and standardization pre-review are consistent with the client's completeness self-check and standardization self-check rules; The review standard database construction module is used to perform spatial processing on the application vector layer, planning approval vector layer, and survey and monitoring vector layer to construct a forest land identification review standard database that integrates application attributes, planning approval attributes, and survey and monitoring attributes. The forest land identification type labeling module is used to compare attributes on a map-by-map basis and automatically generate labels for four types of forest land identification types. The identification reason and supporting evidence matching module is used to call the classification rule library, generate forest land identification reason tags, and match and generate corresponding supporting material type tags; The supporting data verification module is used to retrieve and verify supporting electronic files and supporting vector layers, and generate supporting material verification result tags. The audit result return module is used to compare and generate discrepancies in the audit results, encapsulate them into a forest land identification audit result dataset, and return it to the client.

10. A cloud platform for forest land identification in the approval process of forest land use in construction projects, characterized in that, include: The user terminal layer is equipped with the client-side forest land identification and reporting subsystem as described in claim 9, which runs on any one or more terminal devices such as PC, laptop, mobile workstation, and tablet computer, and is used to provide users with data import, self-check and reporting functions; The cloud service application layer deploys the server-side forest land identification and review subsystem as described in claim 9, which runs on an operating system, database platform, GIS platform, and network middleware, and is used to provide full-process forest land identification and review services. The basic cloud resource layer, including computing resource pools, storage resource pools, network resource pools, and a virtualization management platform, is used to provide elastic and scalable computing, storage, and network resource support for the cloud service application layer.

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