Multi-level forest resource monitoring system and method

Abstract

The invention relates to the technical field of forest resource monitoring, in particular to a multi-level forest resource monitoring system and method. The system comprises a system operation and maintenance subsystem which collects forest resource data, establishes a forest resource monitoring data cloud platform, and provides account registration, login and authority management operation for users of all levels; the verification data maintenance subsystem is used for generating a change verification pattern spot according to the forest resource data; the verification pattern spot updating subsystem is used for updating the generated changed verification pattern spots; and the national achievement data subsystem is used for sequentially performing change verification pattern spot verification after each level is updated, summarizing verification results, and then performing database structure and data dictionary conversion to generate forest and grass wet pattern spot monitoring national achievements. According to the multi-level forest resource monitoring method applied to the system provided by the invention, through the multi-level quality supervision system, the problem of lack of data quality supervision under an existing monitoring system can be effectively solved, and full-process management is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of forest resource monitoring, and in particular to a multi-level forest resource monitoring system and method. Background Art

[0002] Forests are the main body of terrestrial ecosystems and have huge ecological, economic and social benefits. Carrying out forest resource monitoring work provides decision-making support for the scientific implementation of ecosystem protection and restoration, forest resource supervision and management, forest chief system inspection and assessment, and the implementation of carbon peak and carbon neutrality strategies. At present, forest resource monitoring adopts a combination of map monitoring and sample plot investigation. Based on the forest and grassland resource map data of the previous year, remote sensing change maps are used, and archival verification or on-site verification methods are used to investigate the use of forest land, grassland, and wetlands by construction projects within the year, as well as changes in land types, forest stands, and their management attributes caused by forest management activities such as afforestation and logging, and obtain information on the area, distribution, and dynamic changes of various types of forest, grassland, and wetland resources.

[0003] At present, forest resource monitoring uses customized GIS desktop software to complete the creation of projects, map editing, data quality inspection, update results reporting, etc. This desktop software can basically meet the national requirements for forest and grass wetland map monitoring, but for provincial and sub-provincial forestry authorities, there are the following shortcomings: The monitoring method is not conducive to the full-cycle management of data; after the county level completes the data update, the data is directly reported to the national database. The provincial and municipal levels are unable to grasp the update progress and quality of each county in a timely manner, and only play an auxiliary role such as file forwarding and progress supervision, and have not formed a multi-level data management model.

[0004] The database structure is not connected. In order to meet the requirements of business management, the database fields and dictionaries at the provincial level are often more complex than those at the national level. For example, according to the level of authority, it can be divided into national and provincial levels, and the provincial level is divided into national, provincial, municipal, county, and others. The current database structure cannot fully meet the provincial needs and may easily cause irreversible data loss.

[0005] Forest reserve data has not been effectively coupled; forest reserve data is based on forest, grass and wetland resource area data, and uses reserve data such as unit area accumulation and carbon reserves obtained from reserve survey plots to implement overall reserve data level by level to achieve point-to-surface coupling of reserve data. The accuracy of this data coupling method can only reach the provincial level, and cannot be used for city and county data updates, and it is impossible to update reserve data for each map spot. Summary of the invention

[0006] In order to solve the problems existing in the prior art, the present invention provides a multi-level forest resource monitoring system. It includes: a system operation and maintenance subsystem, which collects forest resource data to establish a forest resource monitoring data cloud platform, and provides users at all levels with account registration, login and authority management operations; a verification data maintenance subsystem, which generates change verification spots according to forest resource data; a verification spot update subsystem, which updates the generated change verification spots; a national achievement data subsystem, which sequentially verifies the updated change verification spots at each level, summarizes the verification results, and converts the database structure and data dictionary to generate national-level forest and grass wet spot monitoring results. The present invention further provides a multi-level forest resource monitoring method applied to the system. The present invention can effectively solve the problem of lack of data quality supervision under the existing monitoring system through a multi-level quality supervision system, and realizes full-process management.

[0007] The present invention adopts the following technical scheme, a multi-level forest resource monitoring system, including: a system operation and maintenance subsystem, a verification data maintenance subsystem, a verification map update subsystem and a national achievement data subsystem: wherein: The system operation and maintenance subsystem is used to collect forest resource data to establish a forest resource monitoring data cloud platform, and provide users at all levels with account registration, login and authority management operations on the cloud platform; The verification data maintenance subsystem is used to generate change verification maps based on the forest resource data in the forest resource monitoring data cloud platform; The verification pattern updating subsystem is used to update the change verification pattern generated by the verification data maintenance subsystem; The national achievement data subsystem is used to verify the change verification spots after each level is updated in turn, summarize the verification results, convert the database structure and data dictionary, and generate national-level forest and grassland wetland monitoring results.

[0008] Furthermore, the system operation and maintenance subsystem includes an account management module, a project management module, a data management module, a quality inspection condition management module and a data dictionary management module, specifically: The account management module is used to provide different levels of user account registration, login and permission management operations; The project management module is used to establish a forest resource monitoring data cloud platform to create and upgrade project files; The data management module is used to vectorize the forestry management files of the county-level self-inspection results and import them into the forest resources monitoring data cloud platform; The quality inspection condition management module is used to provide provincial users with the ability to edit and maintain quality inspection conditions, as well as real-time access operations by users at all levels below the provincial level; The data dictionary management module is used to provide provincial users with editing and maintenance of data dictionaries, as well as real-time retrieval operations for users at levels below the provincial level.

[0009] Furthermore, the verification data maintenance subsystem includes a verification data editing module, a verification data regularization module and a verification data quality inspection module; wherein: The verification data editing module is used to edit and update the forest resource data collected in the system operation and maintenance subsystem to generate change verification patches; The verification data regularization module is used to perform data regularization on the change verification pattern; The verification data quality inspection module is used to perform a logical quality inspection on the change verification pattern, output a quality inspection report, and correct erroneous data.

[0010] Furthermore, the map update verification subsystem includes a map pre-update module, a reserve data coupling module, an update result quality inspection module and an update result reporting module; specifically, it includes: The image spot pre-update module is used to update the change verification image spot generated by the verification data maintenance subsystem to the update result; The update result quality inspection module is used to perform logical quality inspection on the update results and output a quality inspection report, and to correct erroneous data; The update results reporting module is used to provide update progress query, report county-level results to provincial level and report statistics operations; The update result quality inspection module is used to perform a logical quality inspection on the update results, output a quality inspection report, and correct erroneous data.

[0011] Furthermore, the national achievement data subsystem includes a database conversion module and a national achievement reporting module; wherein: The database conversion module is used to convert the database structure and data dictionary of the update results to generate national-level results; The national achievement reporting module is used to report national achievements and generate statistical reports.

[0012] The present invention further provides a multi-level forest resource monitoring method, which is applied to the above multi-level forest resource monitoring system and specifically includes: Collect forest resource data and establish a forest resource monitoring data cloud platform; Call the data management module in the system operation and maintenance subsystem to import forestry management archive data; According to the provincial database field structure and dictionary standards, the update base map in the forestry management archive data is standardized to obtain the provincial update base map; The provincial user creates engineering files corresponding to each county user based on the provincial updated base map, and uploads the engineering files to the forest resources monitoring data cloud platform; After each county-level user downloads the corresponding project file, the project file is verified through indoor verification and field verification, and the change verification map corresponding to each county-level user is produced; Update the change verification map corresponding to each county-level user to the forest resources monitoring data cloud platform to generate county-level update results; The county-level renewal results are checked by municipal and provincial users in turn, and then summarized to generate provincial-level forest and grass wetland monitoring results; The database structure and data dictionary of the provincial results of forest and grassland wet spot monitoring are converted to generate national results of forest and grassland wet spot monitoring.

[0013] Furthermore, the forest resource monitoring data cloud platform includes: an engineering document database, an archival material database, a public image database, a field supplementary survey database, and an update results database.

[0014] Furthermore, the forest resources monitoring data cloud platform provides data download and reception for users at the county, city and provincial levels, including: Project file database, including project files created by provincial clients; Archival data database, including forestry management archival data; Public image database, including Tiandi map images from previous years; Field supplementary survey database, including on-site verification maps and evidence photos; Update results database, including county-level update results and city-level update results.

[0015] Furthermore, the method for standardizing the updated base map in the forestry management archive data is as follows: Filter the fields with the same names from the national database and the provincial database; Based on the provincial database format, the selected fields are matched with the data dictionary. If they are the same, the field is entered into the provincial update base map; if they are different, the field is converted into a dictionary and then entered into the provincial update base map. The generated provincial update base map will be compared with the provincial database format. If the fields in the provincial update base map are complete, the update base map will be output; if not, the provincial forest, grassland and wetland renewal results data of the previous year will be entered into the provincial update base map, and then the update base map will be output.

[0016] The beneficial effects of the present invention are: (1) The present invention clarifies the division of responsibilities at all levels through a multi-level quality supervision system, solves the problem of lack of provincial and municipal data quality supervision under the existing monitoring system, and realizes the full process management from data preparation-data update-data verification.

[0017] (2) The method provided by the present invention converts the update results of provincial standards into results that meet national standards through database structure and data dictionary conversion, and submits them to the national level in a unified manner from the provincial level, thus realizing the integrated update and monitoring of national, provincial, municipal and county forest resource monitoring data. At the same time, the data of scattered trees and trees on four sides are included in the update scope, making the monitoring system more complete. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0019] Figure 1 A schematic diagram of the structure of a multi-level forest resource monitoring system according to an embodiment of the present invention; Figure 2 A schematic diagram of a multi-level forest resource monitoring method according to an embodiment of the present invention; Figure 3 A schematic diagram of a base map database structure update and dictionary conversion process according to an embodiment of the present invention; Figure 4 It is a schematic diagram of the operation flow of a provincial, municipal and county three-level forest and grass wet spot monitoring software client according to an embodiment of the present invention; Figure 5 The figure is a schematic diagram of the verification process of an embodiment of the present invention. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] A schematic diagram of the structure of a multi-level forest resource monitoring system according to an embodiment of the present invention is shown in FIG. Figure 1 As shown, it includes: system operation and maintenance subsystem, verification data maintenance subsystem, verification map update subsystem and national achievement data subsystem: Among them: The system operation and maintenance subsystem is used to collect forest resource data to establish a forest resource monitoring data cloud platform, and provide users at all levels with account registration, login and authority management operations on the cloud platform; specifically: The account management module is used to provide different levels of user account registration, login and permission management operations; The project management module is used to establish a forest resource monitoring data cloud platform to create and upgrade project files; The data management module is used to vectorize the forestry management files of the county-level self-inspection results and import them into the forest resources monitoring data cloud platform; The quality inspection condition management module is used to provide provincial users with the ability to edit and maintain quality inspection conditions, as well as real-time access operations by users at all levels below the provincial level; The data dictionary management module is used to provide provincial users with editing and maintenance of data dictionaries, as well as real-time retrieval operations for users at levels below the provincial level.

[0022] The verification data maintenance subsystem is used to generate change verification maps based on the forest resource data in the forest resource monitoring data cloud platform; in: The verification data editing module is used to edit and update the forest resource data collected in the system operation and maintenance subsystem to generate change verification patches; The verification data regularization module is used to perform data regularization on the change verification pattern; The verification data quality inspection module is used to perform a logical quality inspection on the change verification pattern, output a quality inspection report, and correct erroneous data.

[0023] The verification pattern updating subsystem is used to update the change verification pattern generated by the verification data maintenance subsystem; specifically includes: The image spot pre-update module is used to update the change verification image spot generated by the verification data maintenance subsystem to the update result; The update result quality inspection module is used to perform logical quality inspection on the update results and output a quality inspection report, and to correct erroneous data; The update results reporting module is used to provide update progress query, report county-level results to provincial level and report statistics operations; The update result quality inspection module is used to perform a logical quality inspection on the update results, output a quality inspection report, and correct erroneous data.

[0024] The national achievement data subsystem is used to verify the updated change verification spots at each level in turn, summarize the verification results, convert the database structure and data dictionary, and generate national-level forest and grass wetland spot monitoring results; among which: The database conversion module is used to convert the database structure and data dictionary of the update results to generate national-level results; The national achievement reporting module is used to report national achievements and generate statistical reports.

[0025] In another specific embodiment of the present invention: The forest resources monitoring system includes the system operation and maintenance subsystem, the verification data maintenance subsystem, the verification map update subsystem and the national results data subsystem.

[0026] The system operation and maintenance subsystem includes account management module, project management module, data management module, quality inspection condition management module and data dictionary management module, specifically: Account management module: According to business needs, account registration, login and permission management are performed for users at different levels. Accounts are assigned roles, roles are configured with permissions, and one account can be assigned multiple roles, and a role can only have its corresponding permission restrictions.

[0027] Project management module: used for project file creation and upgrade; provincial users standardize the update results of the previous year and create project files; project files include: update base map, administrative boundaries, scattered tree database, four-side tree database, change verification map, etc. Users at all levels below the provincial level can download data according to the scope of granted authority.

[0028] Data management module: vectorize and import forestry management archives such as logging, expropriation and occupation of forest land (grassland), afforestation, forest tending, and county-level self-inspection results of forest inspections.

[0029] Quality inspection condition management module: Provincial users edit and maintain quality inspection conditions, which are then made available to users at all levels below the provincial level for real-time access.

[0030] The verification data maintenance subsystem includes the verification data editing module, the verification data regularization module and the verification data quality inspection module, specifically: Verification data editing module: used for editing and updating change spots to form change verification spots.

[0031] Verification data regularization module: regularize the verification data to avoid data overlap, merge fragmented data, and fill in gaps and supplement data.

[0032] Verify data quality inspection module: retrieve provincial quality inspection conditions from the quality inspection condition management module, perform data quality inspection on change verification areas, modify erroneous data, and output quality inspection reports.

[0033] The map update subsystem includes a map pre-update module, a reserve data coupling module, an update result quality inspection module, and an update result reporting module, specifically: Map pre-update module: updates the change verification map generated by the verification data maintenance subsystem to the update results.

[0034] Reserve data coupling module: Use the growth model to establish simultaneous equations for updating reserve data such as accumulation, biomass, and carbon reserves.

[0035] Update results quality inspection module: perform logical quality inspection on update results at county, city, province and national levels, output quality inspection reports and correct erroneous data.

[0036] Update results reporting module: used to report county-level results in sequence and generate statistical reports.

[0037] The national achievement data subsystem includes the database conversion module and the national achievement reporting module, specifically: Database conversion module: convert the database structure and data dictionary of provincial results to generate national results.

[0038] National achievement quality inspection module: retrieve the national quality inspection conditions from the quality inspection condition management module, perform data quality inspection, modify erroneous data and output quality inspection reports on updated achievements.

[0039] National achievement reporting module: used for updating progress query, national achievement reporting and report statistics.

[0040] In another specific embodiment of the present invention, a forest resource monitoring method applied to the above multi-level forest resource monitoring system is also provided, and its flow chart is as follows: Figure 2 As shown, including: Step (1): Build a forest resource monitoring data cloud platform, which includes: project document database, archive database, public image database, field supplementary survey database, and update results database; Step (2): Collect forest resource data including forest inspection and forestry management records; Step (3): Based on the provincial database field structure and dictionary standards, the update base map is standardized to form a provincial update base map; Step (4): Provincial users create engineering files based on the provincial updated base map, administrative boundaries, scattered tree database and four-side tree database, and upload them to the engineering file database of the monitoring data cloud platform; Step (5): County-level users download the data in the data management module locally according to the scope of authority granted to them, conduct indoor verification and field verification, and produce indoor verification and field verification patches; Step (6): Import the internal verification and verification spots and the field verification and verification spots into the verification spot temporary library, edit the verification spots according to the actual situation of the spots and combine them with remote sensing images, and conduct verification data quality inspection; Step (7): Update the temporary database of verified spots that have passed quality inspection into the update base map to generate county-level update results. If a second update is required, repeat step (6); Step (8): Conduct county-level self-inspection and submit qualified self-inspection results of forest, grassland and wetland counties to the updated results database; Step (9): The municipal level downloads the county-level self-inspection results data uploaded to the update results database locally and conducts municipal level verification. If the verification is passed, the municipal level verification results are submitted to the update results database; otherwise, the verification results are fed back to the county level for correction and improvement; Step (10): The provincial level will download the municipal level verification results data uploaded to the update results database locally and conduct provincial level verification. If the verification result fails, the verification result will be fed back to the municipal level, and the municipal level will feed back to the county level for correction and improvement; the municipal level will then summarize the data and re-report it to the provincial level; Step (11): The provincial government summarizes the updated results database and obtains the provincial results of forest and grass wetland monitoring for the current year; Step (12): Convert the provincial results of forest and grassland wetland monitoring to database structure and data dictionary to generate the national results of forest and grassland wetland monitoring and report to the state.

[0041] In step (1), the provincial forest and grassland wetland monitoring data cloud platform is used for data download and data reception at the provincial, municipal and county levels, including: Project file database: stores project files created by provincial clients; Archives database: stores information related to forest, grassland and wetland management, including county-level self-inspection results of forest supervision, logging, expropriation and occupation, pests and diseases, other daily approval information, as well as provincial and national data dictionaries and quality inspection conditions; Public image database: stores images of the world map over the years; Field Supplementary Survey Database: Stores on-site verification maps and evidence photos of field personnel; Update the results database: store county-level self-inspection results and municipal-level verification results.

[0042] Update the base map standardization method as follows Figure 3 As shown, the specific steps include: S1: Based on the provincial format, fields with the same names as those in the provincial database were selected from the national database; S2: Perform data dictionary matching on the fields selected in S1. If the national database and provincial database dictionaries are the same, enter the field into the provincial update base map. If the database dictionaries are different, perform dictionary conversion and enter the field into the provincial update base map. S3: For patches where the field names of the national database and the provincial database are different, if the data contents are the same, dictionary conversion is performed and the updated base map of the provincial level is entered; S4: Compare the provincial update base map generated by S2 and S3 with the provincial database format. If the fields are complete, export the update base map; if the fields are incomplete, enter the provincial forest, grassland and wetland renewal results data of the previous year into the remaining fields and then export the update base map.

[0043] After the export is completed, the provincial user creates a project through the provincial client: open the project creation interface, select the project storage location, select the imported layer data in turn, and after the import is completed, upload the project file to the project file database for download by county-level operators. The naming rule for the created project is: County Code_County Name_Software Version Number_Creation Date. Example: 330102_Shangcheng District_V1.0.T15_20230425.

[0044] In a specific embodiment of the present invention, the layer data imported into the project file includes: updated base map, administrative boundaries, scattered tree database, and four-sided tree database; after upgrading the current database to the latest database, open the database upgrade interface, select the old version of the project data, set the upgraded project path, complete the database upgrade operation, and the project naming method is consistent with the creation project.

[0045] County-level users can use the county-level client to download engineering files, call real-time images, update spots, and perform data quality inspection within the scope of their authorized permissions. The flowchart is as follows: Figure 4 As shown, the specific steps are: (1) Project download: Open the project download interface and select the county where you are located, select the project storage location, and the project file database completes the project download task based on the administrator's permissions.

[0046] (2) Online image acquisition: The operator logs in to the county-level account and opens the public image interface. The public image database calls up the images of previous years within the scope of the administrator's authority.

[0047] (3) If the change spots have corresponding archival materials and can determine the cause of the change and obtain the attribute information of related factors, the county level needs to conduct indoor verification. The verification process is as follows: Download archive data; according to the scope of the granted authority, retrieve the relevant data on forest, grassland and wetland management in the archive data database, including logging, occupation, pests and diseases, and other daily approval data. Retrieve the county-level self-inspection data of forest inspection through the forest inspection database; Verify the changed spots: check the changed spots against the collected archival data one by one. For the changed spots that fully or partially overlap with the archival data, first correct the boundary of the changed spots based on the archival data and remote sensing images, fill in the change basis as "archival update", and update the relevant attribute information simultaneously; Supplementary zoning for changed plots; if the collected archival data proves that changes have occurred but the changed plots have not been zoned out, remote sensing images should be used for internal interpretation and verification. If it is verified that changes have indeed occurred, additional zoning should be done as changed plots.

[0048] (4) Field verification: For newly added forests in the year, if the cause of the change cannot be determined from archival data or if the attribute information of relevant factors cannot be obtained, the county level shall conduct field verification. The process is as follows: Figure 5 As shown, the specific steps include: Determine the map for field verification; if the cause of the change can be determined by consulting the forest, grassland and wetland resource archives or providing evidence, and the attribute information of the relevant factors of the changed map can be obtained, no field verification and verification is required; if the cause of the change cannot be determined or the attribute information of the relevant factors cannot be obtained, the county-level administrator will upload the map to be investigated to the field supplementary investigation database through the county-level client, and the status column will be marked as "not reported"; Verify data download: Field verification personnel download the proposed survey spots within the scope of the granted authority through the field verification APP and store them on the local computer. The proposed survey spots can be queried through the verification spot list, which includes: data type, county, township, village, forest class number, sub-class number, and positioning function; Verify the location of the map spots; open the list of verified map spots, quickly find the verified map spots through real-time positioning, and reach the verified map spot area through navigation and positioning functions; Investigation and verification; verification methods include drone photography verification and on-site verification. If it is found that the land has changed but has not been zoned, the zone change map should be supplemented on-site. Select the verification map, activate the edit bar function button, and carry out graphic editing and investigation and verification information entry according to the actual situation of the verification map. Graphic editing and investigation and verification information entry functions include: entry, new construction, trimming, segmentation, continuation, merging, splitting, analysis, cancellation, restoration, deletion, screenshot, and attributes; It should be noted that all field verification spots require the taking of evidence photos; the evidence requirements in this embodiment are given as follows: including 1 panoramic photo of the spot, which can clearly and intuitively reflect the land type characteristics of the spot; 1-2 local close-up or spot feature photos, which should be able to clearly and intuitively reflect the actual utilization status and vegetation growth of the spot. Photos taken by drones must indicate the scope of evidence.

[0049] Verify the map and report it. The field verification personnel click on the map to be uploaded in the field verification APP, and send the verified map back to the field supplementary survey database, marking it as "reported"; Field survey map review. Before any operation is performed, the returned map will be displayed as "unconfirmed". The county-level administrator will review the returned field verification map. If the review is correct, the review status will change to "confirmed". The verification result will be used in step (5). If the review fails, fill in the reason for the return and feedback to the field verification APP, and repeat the steps. ,step , until the review is passed.

[0050] (5) Editing of change verification spots: Open the data management interface, import the internal verification spots and the field verification spots into the temporary database of verification spots stored in the background, and edit the verification spots based on the actual situation of the spots and in combination with remote sensing images. The actual editing functions include: Undo / Redo: Undo the last editing action or restore the last undone editing action; Select: Click or drag a box to select features in the map display window; Delete: delete the selected element; Create: used to create graphics; Line segmentation: perform line segmentation on the selected features. Line segmentation features can segment both line features and surface features. Face segmentation: segment the selected face elements; Merge: Adjacent elements can be merged into one element, and multiple components of area elements are prohibited; Decomposition: A single component generated by splitting multiple components; Selected feature split: Use the selected features to split the features in the current editing layer. Line features can be split into line features, line features can be split into surface features, surface features can be split into surface features, and surface features can be split into line features. Copy: copy a graphic to other layers, including automatic matching of corresponding field information; Node Editing: Display the nodes of the selected area or line element, edit the nodes, and the area will change accordingly; Boundary modification: modify the boundary of the element; Information entry: enter attribute information for the selected elements; Attribute Copy: Copy the selected feature attributes to other features.

[0051] (6) Verify the quality inspection of the map. Open the verification data quality inspection interface to verify the quality inspection of the map. The real map quality inspection is divided into two parts: spatial inspection and attribute inspection. The operator can select the quality inspection conditions to be inspected by checking. After the inspection is completed, the number of error records will be displayed. If you check the display of failed items, only the quality inspection items with error records will be displayed. If you check the display of details, the page will list the error records and detailed descriptions.

[0052] It should be noted that before verifying the data quality inspection, the verification image quality inspection conditions in the logical quality inspection condition database are retrieved. If the quality inspection conditions stored locally are inconsistent with the provincial logical quality inspection condition database, the quality inspection conditions are downloaded again. In the embodiment of the present invention, the inspection results or error record information of the selected quality inspection items can be exported to Excel format through the quality inspection report output.

[0053] (7) Verify the map update; click on the small class pre-update to update the verification map and forest and grassland wetland background map to the forest and grassland wetland renewal results database. The background data with changes are displayed in a different color from the background map without changes. At the same time, a change verification map database and an incremental map database are generated. After the small class pre-update is completed, clear all data in the verification map temporary library. If all change maps have been updated, proceed to step (8); if not, proceed to steps (5), (6), and (7) again until all maps are updated.

[0054] In the embodiment of the present invention, only the verification spots that have passed all the quality inspection conditions are updated in the temporary library. If the "verification data quality inspection" has not passed all, a prompt will appear.

[0055] (8) Growth model update: Based on the parameters of the parameter data, simultaneous equations are established to calculate the average breast diameter, average tree height, stock per unit area of ​​tree forests, stock counted in tree forest plots, number of trees per unit area of ​​tree forests, number of trees counted in tree forest plots, density, biomass, carbon storage, age, and age group of the forest and grassland wetland renewal results database, the change verification map database, and the incremental map database, as well as the average breast diameter, average tree height, stock, biomass, and carbon storage of the scattered tree database and the four-side tree database.

[0056] (9) Rearrange the small class number: Rearrange the "small class number" field value of the forest, grassland and wetland renewal results database to avoid empty or repeated small class numbers. Open the small class number reordering interface and reorder the small class numbers. A prompt message will be given after the operation is completed.

[0057] (10) Update the quality inspection of the results; open the update quality inspection interface and conduct the quality inspection of the image. After the inspection is completed, the number of error records will be displayed; check the "Show failed items" check box to display only the quality inspection items with error records; check the "Show details" check box to list the error records and detailed descriptions.

[0058] The embodiment of the present invention further retrieves the updated achievement quality inspection conditions from the logical quality inspection condition database. If the locally stored quality inspection conditions are inconsistent with the provincial logical quality inspection condition database, the quality inspection conditions are downloaded again.

[0059] (11) Report statistics: Open the report statistics window and select the statistical report. You can select a single or multiple reports. After the selection is completed, the report will start to count. A prompt message will be displayed after the statistics are completed. The detailed information of the report can be viewed in the displayed report.

[0060] (12) County-level renewal results reporting: After the results data pass the county-level self-inspection, the results will be submitted to the renewal results database in the form of a compressed package, named in the format of county code_county name_data type_submission date; for example: 330102_Shangcheng District_County-level self-inspection_20230825. The submitted data includes: forest, grassland and wetland renewal results database, change verification map database, incremental map database, scattered tree database, four-side tree database, statistical reports, stamped documents, and county-level results self-inspection reports.

[0061] The municipal level verification contents of forest and grass wet spot monitoring in the embodiment of the present invention include: (1) Check the plot zoning: check the consistency between the plot boundary and the image, whether there are any missed or wrong plots; remote sensing interpretation plots and production and operation file change plots; the completion and accuracy of the changes in the forest resources monitoring database for the change plots that have not been reported and updated at the county level. If the plot zoning is consistent with the image and the operation file is updated accurately, it will be considered qualified; otherwise, it will be considered a problem plot (the principle is to increase as much as possible and reduce as much as possible to ensure the consistency of the results data with the actual situation on the ground).

[0062] (2) Check the update of factors; check the correctness of the update of factors such as land type, dominant tree (shrub) species, average breast diameter, average height, age group, number of trees per unit area, and volume; determine the reasons for the change of the plot and the rationality of the basis for the change; analyze the reliability of forest volume, forest volume, biomass, net growth of carbon storage, and net increase rate. If the natural attribute update plot is consistent with the actual situation, it will be considered qualified; if it is not consistent with the actual situation, or if the forest transfer plot does not provide on-site photos or evidence materials, it will be considered a problem plot.

[0063] (3) Management attribute inspection: compare with the previous forest resource monitoring database to check the rationality of changes in forest categories, administrative rights levels, forest land protection levels, and tree origins. If the map of management attribute changes provides corresponding supporting materials, it will be considered qualified; if no supporting materials are provided or the supporting materials cannot be proved, it will be considered a problematic map.

[0064] (4) Database inspection: inspection of the spatial topological relationship of vector data in the database, area calculation, integrity and logic of attribute data, and correlation between map patches and attribute data.

[0065] The municipal verification process is carried out in the following steps: Data reception and information collection: Operators use the municipal client to retrieve relevant information about the subordinate counties from the provincial database, including county-level self-inspection and reporting results data in the update results database, forest, grassland, and wetland management related data in the archive database, forest inspection county-level self-inspection data in the forest inspection database, and other information.

[0066] Logical check: Open the update result quality inspection interface to verify the quality inspection of the image. After the inspection is completed, the number of error records will be displayed; check "Show failed items" to display only the quality inspection items with error records; check "Show details" to list the error records and detailed descriptions on the page.

[0067] Retrieve the updated quality inspection conditions from the logical quality inspection condition database. If the quality inspection conditions saved locally are inconsistent with the provincial logical quality inspection condition database, download the quality inspection conditions again.

[0068] Internal verification: 100% coverage verification of the reported plots of each county. Through human-computer interaction, make full use of the previous forest and grass resource map data, remote sensing images and other related basic information, afforestation, tree felling, forest land acquisition and occupation and other archival materials, check the plot boundaries, land types, attribute information, inconsistent markings, etc. in the results; and review the integrity of the results database, statistical tables, reports, and the accuracy of area calculations.

[0069] Field random inspection: in each city, no less than 30% of the county-level units shall be randomly selected, with at least 3 townships in each county, and at least 3 administrative villages in each township; 10% (no less than 30, and all those less than 30) of the number of change spots shall be randomly selected for inspection.

[0070] After the city-level verification and correction, the county-level management personnel will further improve the forest resource monitoring database based on the city-level verification and assessment results, so that the statistical results in the revised database are consistent with the county-level self-inspection result table, statistical form, and report. After the county-level correction and improvement is completed, it will be reported to the provincial level after passing the city-level inspection.

[0071] Provincial users use the provincial client to retrieve the municipal verification results data reported by each city from the provincial database and conduct provincial verification. The verification content and steps are consistent with the municipal verification. After the verification is passed, the provincial level summarizes the updated results database to obtain the provincial results of forest and grassland wetland monitoring for that year. The provincial results of forest and grassland wetland monitoring for that year are converted into database structure and data dictionary to generate the national results of forest and grassland wetland monitoring for that year and report them to the nation.

[0072] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A multi-level forest resource monitoring system, characterized in that: include: System operation and maintenance subsystem, verification data maintenance subsystem, verification map update subsystem and national achievement data subsystem: Among them: The system operation and maintenance subsystem is used to collect forest resource data to establish a forest resource monitoring data cloud platform, and provide users at all levels with account registration, login and authority management operations on the cloud platform; The verification data maintenance subsystem is used to generate change verification maps based on the forest resource data in the forest resource monitoring data cloud platform; The verification pattern updating subsystem is used to update the change verification pattern generated by the verification data maintenance subsystem; The national achievement data subsystem is used to verify the change verification spots after each level is updated in turn, summarize the verification results, convert the database structure and data dictionary, and generate national-level forest and grassland wetland monitoring results.

2. A multi-level forest resource monitoring system according to claim 1, characterized in that: The system operation and maintenance subsystem includes an account management module, a project management module, a data management module, a quality inspection condition management module and a data dictionary management module, specifically: The account management module is used to provide different levels of user account registration, login and permission management operations; The project management module is used to establish a forest resource monitoring data cloud platform to create and upgrade project files; The data management module is used to vectorize the forestry management files of the county-level self-inspection results and import them into the forest resources monitoring data cloud platform; The quality inspection condition management module is used to provide provincial users with the ability to edit and maintain quality inspection conditions, as well as real-time access operations by users at all levels below the provincial level; The data dictionary management module is used to provide provincial users with editing and maintenance of data dictionaries, as well as real-time retrieval operations for users at levels below the provincial level.

3. A multi-level forest resource monitoring system according to claim 1, characterized in that: The verification data maintenance subsystem includes a verification data editing module, a verification data regularization module and a verification data quality inspection module; wherein: The verification data editing module is used to edit and update the forest resource data collected in the system operation and maintenance subsystem to generate change verification patches; The verification data regularization module is used to perform data regularization on the change verification pattern; The verification data quality inspection module is used to perform a logical quality inspection on the change verification pattern, output a quality inspection report, and correct erroneous data.

4. A multi-level forest resource monitoring system according to claim 1, characterized in that: The verification map update subsystem includes a map pre-update module, a reserve data coupling module, an update result quality inspection module and an update result reporting module; specifically, it includes: The image spot pre-update module is used to update the change verification image spot generated by the verification data maintenance subsystem to the update result; The update result quality inspection module is used to perform logical quality inspection on the update results and output a quality inspection report, and to correct erroneous data; The update results reporting module is used to provide update progress query, report county-level results to provincial level and report statistics operations; The update result quality inspection module is used to perform a logical quality inspection on the update results, output a quality inspection report, and correct erroneous data.

5. A multi-level forest resource monitoring system according to claim 1, characterized in that: The national achievement data subsystem includes a database conversion module and a national achievement reporting module; wherein: The database conversion module is used to convert the database structure and data dictionary of the update results to generate national-level results; The national achievement reporting module is used to report national achievements and generate statistical reports.

6. A multi-level forest resource monitoring system according to claim 1, characterized in that: The forest resources monitoring data cloud platform includes: engineering document database, archival material database, public image database, field supplementary survey database, and update results database.

7. A multi-level forest resource monitoring method, applied to the multi-level forest resource monitoring system according to any one of claims 1 to 5, characterized in that: include: Collect forest resource data and establish a forest resource monitoring data cloud platform; Call the data management module in the system operation and maintenance subsystem to import forestry management archive data; According to the provincial database field structure and dictionary standards, the update base map in the forestry management archive data is standardized to obtain the provincial update base map; The provincial user creates engineering files corresponding to each county user based on the provincial updated base map, and uploads the engineering files to the forest resources monitoring data cloud platform; After each county-level user downloads the corresponding project file, the project file is verified through indoor verification and field verification, and the change verification map corresponding to each county-level user is produced; Update the change verification map corresponding to each county-level user to the forest resources monitoring data cloud platform to generate county-level update results; The county-level renewal results are checked by municipal and provincial users in turn, and then summarized to generate provincial-level forest and grass wetland monitoring results; The database structure and data dictionary of the provincial results of forest and grassland wet spot monitoring are converted to generate national results of forest and grassland wet spot monitoring.

8. A multi-level forest resource monitoring method according to claim 7, characterized in that: The forest resource monitoring data cloud platform provides data download and reception for county, city and provincial users, including: Project file database, including project files created by provincial clients; Archival data database, including forestry management archival data; Public image database, including Tiandi map images from previous years; Field supplementary survey database, including on-site verification maps and evidence photos; Update results database, including county-level update results and city-level update results.

9. A multi-level forest resource monitoring method according to claim 7, characterized in that: The method for standardizing the updated base map in the forestry management archive data is as follows: Filter the fields with the same names from the national database and the provincial database; Based on the provincial database format, the selected fields are matched with the data dictionary. If they are the same, the field is entered into the provincial update base map. If they are different, perform dictionary conversion on the field and enter it into the provincial updated base map; The generated provincial update base map will be compared with the provincial database format. If the fields in the provincial update base map are complete, the update base map will be output; if not, the provincial forest, grassland and wetland renewal results data of the previous year will be entered into the provincial update base map, and then the update base map will be output.

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