A forest thematic data product intelligent generation method and system

Abstract

This invention discloses an intelligent generation method and system for forest-themed data products. The method includes: acquiring and uniformly organizing multi-source basic data related to forest monitoring to form a standardized data foundation; extracting at least one type of forest-themed factor based on the data foundation to construct a standardized forest-themed factor system; constructing a dynamically loadable and executable thematic product rule base, which includes at least product generation rules and product update rules; automatically generating at least one forest-themed data product based on the factor system and rule base, and attaching traceable metadata; and automatically performing product updates and version management based on product update rules and new basic data. This invention solves the problems of inconsistent data organization, rigid rules, and reliance on manual product updates in existing technologies, realizing the automated, standardized, and continuous generation and updating of forest-themed products, and is applicable to fields such as forest resource surveys, ecological monitoring, and forestry management.

Description

Technical Field

[0001] This invention relates to the field of forest resource remote sensing monitoring and thematic information services, and in particular to a method and system for intelligent generation of forest thematic data products. Background Technology

[0002] Forest thematic data products are important deliverables for forest resource surveys, forest ecological monitoring, management, and engineering assessments. Common products include thematic maps of forest types, tree height levels, canopy closure levels, biomass distribution, carbon storage zoning, ecological function zoning, and change thematic maps. With the development of remote sensing monitoring and intelligent inversion technologies, a large amount of forest monitoring and parameter results can be obtained. However, these results often exist in the form of single-item layers, temporary result maps, or independent statistical tables, and a complete technical chain from input data organization, thematic factor extraction, rule invocation to product output and updates has not yet been formed.

[0003] Current product production methods generally suffer from problems such as inconsistent data organization, non-standard rule expression, lack of update mechanisms, and insufficient traceability of results. Especially in scenarios of parallel production of multiple products, different thematic layers often rely on different scripts or manual mapping processes, making it difficult to achieve standardized, batch, and continuous production. On the other hand, although existing technologies have proposed a general approach to automatically generate ecological benefit assessment data products and display results, there is still insufficient public disclosure on how to uniformly map parameter results from different sources, scales, and types into forest thematic products, and how to establish a reusable rule base and version management mechanism. Summary of the Invention

[0004] In view of the above-mentioned shortcomings in the field of forest resource remote sensing monitoring and thematic information service technology, the present invention provides a method and system for intelligent generation of forest thematic data products, which can realize the automatic generation, dynamic updating and traceable management of standardized thematic products from heterogeneous basic data.

[0005] To achieve the above objectives, the embodiments of the present invention adopt the following technical solutions: A method for intelligently generating forest-themed data products includes: Acquire multi-source basic data related to forest monitoring, and organize the basic data in a unified manner to form a standardized data foundation; Based on the aforementioned data foundation, at least one type of forest-themed factor is extracted to construct a standardized forest-themed factor system; Construct a thematic product rule base that can be dynamically loaded and executed, wherein the rule base includes at least product generation rules and product update rules; Based on the forest-themed factor system and the thematic product rule base, at least one forest-themed data product is automatically generated, and traceable metadata is attached to the generated forest-themed data product. Furthermore, for existing forest-themed data products, product updates and version management will be automatically performed based on the product update rules and new basic data.

[0006] According to one aspect of the present invention, the basic data includes one or more of the following: remote sensing observation results, ground verification data, environmental auxiliary data, forest monitoring results, parameter inversion results, and ecological function evaluation results; the unified organization of the basic data includes at least spatial registration, temporal correspondence, resolution coordination, attribute coding unification, missing value processing, metadata organization, and quality inspection.

[0007] According to one aspect of the present invention, the forest-themed factor system includes one or more of forest type factors, forest structure factors, forest quality factors, forest ecological function factors, and forest change factors; wherein, the forest type factor is used to express information on forest vegetation type, dominant tree species, forest type, or origin. The forest structure factors are used to express tree height, canopy closure, biomass, or volume. The forest quality factors are used to express the growth status, health level, degradation level, cover status, or vitality level of a forest. The forest ecological function factors are used to express carbon sequestration capacity, water conservation capacity, or windbreak and sand fixation capacity. The forest change factor is used to express information about forest recovery, degradation, disturbance, or type change over time.

[0008] According to one aspect of the present invention, the thematic product rule base adopts a structured storage format and supports dynamic loading and hot updating; the product generation rules include one or more of classification rules, hierarchical rules, partitioning rules and comprehensive evaluation rules.

[0009] According to one aspect of the present invention, the classification rule is used to convert forest thematic factors into thematic products of different categories; the grading rule is used to convert continuous factors into graded products, supporting grading based on equal intervals, natural breakpoints, quantiles, or custom thresholds; the zoning rule is used to perform spatial aggregation based on ecological zoning, administrative boundaries, or watershed units; and the comprehensive evaluation rule is used to define standardization methods, weight allocation, and fusion methods.

[0010] According to one aspect of the present invention, the automatic generation of at least one forest-themed data product specifically includes: Based on the target product type, product templates are matched to determine the necessary forest-themed factors; The corresponding product generation rules are retrieved from the topic product rule library based on the product type; The calculation results after calling the rules are transformed into thematic representations in the form of layers, partition maps, or statistical results. Write additional metadata, which includes at least the product generation time, data source, rule version, spatial resolution, quality status, and update status; The generated forest thematic data products can be stored as raster layers, vector layers, statistical reports, or thematic maps.

[0011] According to one aspect of the invention, a quality control step is also included: performing spatial consistency detection, outlier detection, boundary integrity detection, and low-confidence region identification on the generated forest thematic data products, and attaching quality metadata to each product, the quality metadata including spatial consistency score, outlier pixel ratio, boundary integrity identifier, and low-confidence region mask; automatically triggering an alarm when the outlier pixel ratio exceeds a preset threshold; the low-confidence region mask is output as a semi-transparent layer to assist in identifying risk areas.

[0012] According to one aspect of the present invention, the automatic execution of product updates and version management specifically includes: When a new set of basic data is detected, it is determined whether to trigger an update according to the product update rules. If an update is triggered, a full replacement, incremental overlay, or version branch generation will be performed according to the preset strategy. Each update generates a new version number and records the version time, update source, rule version, range of differences, and quality status.

[0013] According to one aspect of the present invention, the version number adopts a three-level structure of major version number, sub-version number and revision number: for large-scale basic data replacement, the major version number increments; for local area or local factor update, the sub-version number increments; for rule parameter or metadata revision, the revision number increments.

[0014] A smart generation system for forest-themed data products includes: The data access and organization module is used to acquire and uniformly organize multi-source basic data related to forest monitoring to form a standardized data foundation. The thematic factor extraction module is used to extract at least one type of forest thematic factor based on the data base and construct a standardized forest thematic factor system. The rule base management module is used to store, retrieve, and dynamically update the rule base for thematic products. The rule base includes at least product generation rules and product update rules. Thematic product generation module is used to automatically generate at least one forest thematic data product based on the forest thematic factor system and the thematic product rule base, and to attach traceable metadata to the generated forest thematic data product; The update and version management module is used to automatically perform product updates and version management based on the product update rules and new basic data.

[0015] Advantages of implementing this invention: This has streamlined the automatic generation chain from monitoring and parameter results to forest-themed data products, reducing the workload of manual organization and map duplication.

[0016] 2. It can organize information on forest structure, quality, ecological function and changes in a unified manner to form a complete system of forest-themed products.

[0017] 3. The rule base enables classification, grading, partitioning, comprehensive evaluation, and dynamic updates, facilitating standardized product production and business applications.

[0018] 4. The key protection focuses on the product generation process and product organization method, which is more suitable for supporting forest resource management, special services and continuous update scenarios compared to simple model training technology. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0020] Figure 1 This is a flowchart illustrating the intelligent generation method for forest-themed data products according to the present invention.

[0021] Figure 2 This is a flowchart illustrating the intelligent generation system for forest-themed data products according to the present invention. Detailed Implementation

[0022] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0023] Example 1

[0024] like Figure 1As shown, a method for intelligently generating forest-themed data products includes:

[0025] Step S1: Acquire multi-source basic data related to forest monitoring, and organize the basic data in a unified manner to form a standardized data foundation;

[0026] Acquire the foundational data required for generating forest thematic data products. This foundational data includes one or more of the following: remote sensing observation results, ground verification data, environmental auxiliary data, forest monitoring results, parameter inversion results, and ecological function evaluation results. Organize this foundational data in a unified manner, including at least spatial registration, temporal correspondence, resolution coordination, attribute coding standardization, missing value handling, metadata organization, and quality checks, to form the data foundation for generating thematic products.

[0027] Preferably, a unified data identifier field is assigned to different data sources, including product source identifier, data time identifier, spatial resolution identifier, version identifier, and credibility identifier, to facilitate subsequent rule invocation and update management.

[0028] Step S2: Based on the data foundation, extract at least one type of forest thematic factor and construct a standardized forest thematic factor system;

[0029] Based on the unified and organized basic data, a forest-thematic factor system was constructed. This system includes forest type factors, forest structure factors, forest quality factors, forest ecological function factors, and forest change factors. Forest type factors express the distribution and spatial pattern of forest types; forest structure factors express structural attributes such as tree height, canopy closure, biomass, and stock volume; forest quality factors express growth status, degree of degradation, cover status, and health level; forest ecological function factors express ecological service capabilities such as carbon sequestration capacity, water conservation capacity, and windbreak and sand fixation capacity; and forest change factors express information on restoration, degradation, disturbance, and type change.

[0030] Preferably, a unified factor mapping relationship is set for results from different sources. For example, continuous parameters are mapped to standardized numerical factors, classification results are mapped to category coding factors, and confidence information is mapped to weight factors to ensure reusability between different products.

[0031] Step S3: Construct a thematic product rule base that can be dynamically loaded and executed. The rule base shall at least contain product generation rules and product update rules.

[0032] Based on the purpose and expression objectives of forest-themed products, a rule base for these products will be established. This rule base includes classification rules, grading rules, zoning rules, comprehensive evaluation rules, update rules, and quality control rules.

[0033] Preferably, the rule base adopts a structured storage format, such as JSON, XML, or database tables, supporting dynamic loading and hot updates. Classification rules are used to convert thematic factors into different categories of thematic products; grading rules are used to convert continuous factors into graded products, supporting grading based on equal intervals, natural breakpoints, quantiles, or custom thresholds; zoning rules are used for spatial aggregation based on ecological zoning, administrative boundaries, or watershed units; comprehensive evaluation rules are used to define standardization methods, weight allocation, and fusion methods; update rules are used to define triggering conditions, update strategies, and conflict handling mechanisms; and quality control rules are used to identify abnormal areas, boundary problems, and low-confidence areas.

[0034] Preferably, the classification rules and hierarchical rules can be expressed in the following structured way:

[0035]

[0036] Step S4: Based on the forest thematic factor system and the thematic product rule base, automatically generate at least one forest thematic data product, and attach traceable metadata to the generated forest thematic data product;

[0037] Step S4 specifically includes the following steps:

[0038] Step S41: Generation of forest-themed data products;

[0039] Forest thematic data products are automatically generated based on thematic factors and rule bases. The product generation process includes five steps: product template matching, rule invocation, thematic expression, additional metadata writing, and result storage. Product template matching determines the target product type and its required factors. Rule invocation uses the corresponding classification rules, grading rules, partitioning rules, or comprehensive evaluation rules based on the product type. Thematic expression transforms the calculation results into layers, partitions, or statistical results. Additional metadata writing records the product generation time, data source, rule version, spatial resolution, quality status, and update status. Result storage saves the product as a raster layer, vector layer, statistical report, or thematic map.

[0040] Preferably, the product templates include at least four types: forest structure templates, forest quality templates, forest ecological function templates, forest comprehensive evaluation templates, and forest change templates. Different templates can share a factor system, but call different combinations of rules.

[0041] Step S42: Product quality control and output;

[0042] A quality control mechanism is introduced during the product generation process. Specifically, each output product is appended with quality metadata, including spatial consistency score, abnormal pixel ratio, boundary integrity identifier, and low-confidence area mask. The spatial consistency score can use a quantitative value from zero to one, with a higher value indicating a more stable spatial representation; an alarm is automatically triggered when the abnormal pixel ratio exceeds a preset threshold; the boundary integrity identifier is used to indicate whether the topology check has passed; the low-confidence area mask can be output as a semi-transparent layer to assist business personnel in identifying risk areas.

[0043] The preferred quality control rules include the following detection methods: First, spatial consistency detection, checking whether abrupt changes in the attributes of adjacent patches exceed a preset threshold. Second, outlier detection, identifying unreasonable pixels based on global statistics, local outliers, or confidence intervals. Third, boundary integrity detection, checking for gaps, overlaps, and hanging edges in the vector layers. Fourth, low-confidence region identification, marking regions based on the confidence level of the input data or model uncertainty estimation.

[0044] When necessary, add confidence layers, timestamps, data source version numbers, and rule base version numbers to products to improve the traceability of results.

[0045] Step S5: For the generated forest-themed data products, automatically perform product updates and version management based on the product update rules and new basic data.

[0046] Establish a mechanism for updating and managing forest-themed data products. When a new set of basic data or parameter results is detected, the system automatically determines whether to trigger a product update based on update rules. If the update conditions are met, a full replacement, incremental overlay, or version branch generation will be performed according to a preset strategy. Each update generates a new version number and records the version time, update source, rule version, range of differences, and quality status.

[0047] Preferably, the version number adopts a three-level structure: major version number, sub-version number, and revision number. For large-scale replacement of basic data, the major version number increments; for local area or local factor updates, the sub-version number increments; and for rule parameters or metadata revisions, the revision number increments. This mechanism enables continuous production, historical review, and version comparison of thematic products.

[0048] The advantages of this invention are as follows: The fully automated generation and continuous updating of multi-source heterogeneous forest monitoring data into standardized thematic data products achieves the following results: First, by using a unified data foundation and a standardized forest thematic factor system, the problems of scattered data organization and inconsistent factor expression are solved, enabling unified description and reuse of forest structure, quality, ecological function, and change information. Second, based on a dynamically loadable and executable rule base, hot updates and cross-product sharing of generation rules such as classification, grading, partitioning, and comprehensive evaluation are realized, avoiding the maintenance difficulties caused by hard-coded rules. Third, through automated product generation, metadata attachment, and a version management mechanism triggered by update rules, manual intervention is significantly reduced, forming a production capacity for traceable and sustainable product delivery, thereby improving the standardization, batch processing, and operational level of forest thematic product production.

[0049] Example 2

[0050] This embodiment uses a forest region in Northeast China as the implementation area and employs the method described in this invention to intelligently generate and update forest-themed data products. The specific implementation steps are as follows:

[0051] Step B1: Acquisition and unified organization of basic data;

[0052] Multi-source basic data related to forest monitoring in this area were acquired, including: satellite remote sensing observations, radar data, ground-based fixed plot verification data (including measured values ​​of canopy closure, tree height, and biomass), as well as preliminary forest type classification results, tree height inversion raster, canopy closure inversion raster, aboveground biomass raster, and carbon sequestration capacity assessment results output by the upstream parameter inversion system. These data sources are diverse, with varying formats (raster, vector, statistical tables), inconsistent spatial references, and differing resolutions.

[0053] The aforementioned basic data is organized in a unified manner to form a standardized data foundation: First, all data is unified to the same coordinate system; second, appropriate resampling methods are used to unify raster with different resolutions to a consistent spatial resolution; then, attribute encoding is unified (e.g., forest type encoding is numerical code); missing values ​​are processed and missing masks are recorded; finally, metadata is organized, and data identification fields (source identifier, time identifier, resolution identifier, version identifier, and credibility identifier) ​​are assigned to each data source.

[0054] Step B2: Extraction of forest-themed factors;

[0055] Based on the standardized data foundation described above, at least one type of forest-themed factor is extracted:

[0056] Forest structure factors: Tree height, canopy closure, volume per unit area, and aboveground biomass were extracted from tree height inversion raster, canopy closure inversion raster, and biomass raster, respectively.

[0057] Forest quality factors: Growth status index is calculated based on time series data, and quality grade factors are formed by combining the results of forest degradation degree classification;

[0058] Forest ecological function factors: Carbon sequestration intensity is extracted from the carbon sequestration capacity assessment results, and water conservation capacity index is calculated using soil and hydrological data.

[0059] Continuous parameters (such as tree height and canopy closure) are standardized into numerical factors, classification results are mapped into category coding factors, and confidence information is extracted into weight factors to form a standardized thematic factor raster set covering the entire region.

[0060] Step B3: Construct a rule base for specific products;

[0061] A dynamic, loadable, and executable rule base for specific products is constructed, using a structured storage format (such as JSON) and supporting hot updates. In this embodiment, the product generation rules of the rule base specifically include:

[0062] Classification rules: Convert forest type codes into corresponding legends and color schemes;

[0063] Grading rules: Classify continuous factors such as tree height, canopy closure, and biomass into grades (e.g., low canopy closure, medium canopy closure, high canopy closure).

[0064] Zoning rules: Spatial aggregation statistics of ecological function factors based on administrative boundaries or watershed units;

[0065] Comprehensive evaluation rules: Define the weights of each evaluation indicator and the standardized fusion method.

[0066] Product update rules: Define the update trigger conditions when a new set of remote sensing data or ground survey data arrives, as well as the applicable scenarios for different update strategies such as full replacement, incremental overlay, or version branch generation.

[0067] Step B41: Automatic generation of forest-themed data products;

[0068] Based on user needs, select a product template to generate the following themed products in sequence:

[0069] Forest type thematic map: Matching classification rules, calling forest type factors and classification rules, generating raster layers and attaching color schemes.

[0070] Tree height level map: Match the leveling rules, call the tree height factor, use the natural breakpoint method or a custom threshold to divide the levels, and output the level map and level area statistics table.

[0071] Canopy Closure Level Map: Calls the canopy closure factor and outputs a multi-level level map according to the preset threshold.

[0072] Forest carbon sequestration capacity zoning map: By calling carbon sequestration capacity factors and ecological zoning boundaries, the average carbon sequestration intensity of each zone is calculated according to the zoning rules, and the thematic map of the zone is generated.

[0073] Forest comprehensive evaluation thematic map: by calling up forest quality factors and ecological function factors, a comprehensive scoring grid is generated according to the comprehensive evaluation rules and displayed in a hierarchical manner.

[0074] For each product generated, additional metadata is written, including: product generation time, data source, rule base version, spatial resolution, quality status, and update status. The final products are stored in the product database in the form of raster layers, vector partition maps, statistical reports, and thematic maps.

[0075] Step B42: Quality Control;

[0076] After product generation, automatic quality control is performed: spatial consistency detection (checking whether abrupt changes in adjacent patch attributes exceed a preset threshold), outlier detection (identifying unreasonable pixels based on global statistics or confidence intervals), boundary integrity detection (checking for gaps, overlaps, and hanging edges in vector layers), and low-confidence region identification (marking based on confidence layer or model uncertainty estimation of input data). The above quality metadata is appended to the product file, and a low-confidence mask is output as a semi-transparent overlay for business personnel to identify risk areas. If the proportion of abnormal pixels exceeds a preset threshold, the system automatically triggers an alarm.

[0077] Step B5: Product Updates and Version Management;

[0078] When the system detects the arrival of new basic data (such as new temporal remote sensing imagery or updated ground survey data), the update and version management module determines whether to trigger an update based on the product update rules. If the update conditions are met, a full replacement, incremental overlay, or version branch generation is performed according to a preset strategy. Each update generates a new version number and records the version time, update source, rule version, range of differences, and quality status. The version number can adopt a three-level structure: major version number, sub-version number, and revision number. For large-scale basic data replacement, the major version number increments; for local area or local factor updates, the sub-version number increments; for rule parameters or metadata revisions, the revision number increments. The system retains all historical versions and supports arbitrary version backtracking and comparative analysis.

[0079] The advantages of implementing this invention are: it fully verifies the feasibility and superiority of the method described in this invention in terms of unified organization of multi-source data, standardized extraction of thematic factors, dynamic calling of rule base, automatic product generation, quality control and incremental updates, and is applicable to the operational use of forest resource surveys, ecological monitoring and forestry management.

[0080] Example 3

[0081] like Figure 2 As shown, a forest-themed data product intelligent generation system includes:

[0082] The data access and organization module M1 is used to acquire and uniformly organize multi-source basic data related to forest monitoring to form a standardized data foundation.

[0083] Thematic factor extraction module M2 is used to extract at least one type of forest thematic factor based on the data base and construct a standardized forest thematic factor system;

[0084] The rule base management module M3 is used to store, retrieve, and dynamically update the rule base for thematic products. The rule base includes at least product generation rules and product update rules.

[0085] Thematic product generation module M4 is used to automatically generate at least one forest thematic data product based on the forest thematic factor system and the thematic product rule base, and to attach traceable metadata to the generated forest thematic data product;

[0086] The update and version management module M5 is used to automatically perform product updates and version management based on the product update rules and new basic data.

[0087] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for intelligently generating forest-themed data products, characterized in that, include: Acquire multi-source basic data related to forest monitoring, and organize the basic data in a unified manner to form a standardized data foundation; Based on the aforementioned data foundation, at least one type of forest-themed factor is extracted to construct a standardized forest-themed factor system; Construct a thematic product rule base that can be dynamically loaded and executed, wherein the rule base includes at least product generation rules and product update rules; Based on the forest-themed factor system and the thematic product rule base, at least one forest-themed data product is automatically generated, and traceable metadata is attached to the generated forest-themed data product. Furthermore, for existing forest-themed data products, product updates and version management will be automatically performed based on the product update rules and new basic data.

2. The intelligent generation method for forest-themed data products according to claim 1, characterized in that, The basic data includes one or more of the following: remote sensing observation results, ground verification data, environmental auxiliary data, forest monitoring results, parameter inversion results, and ecological function evaluation results; the unified organization of the basic data includes at least spatial registration, temporal correspondence, resolution coordination, attribute coding unification, missing value handling, metadata organization, and quality inspection.

3. The intelligent generation method for forest-themed data products according to claim 1, characterized in that, The forest-themed factor system includes one or more of the following: forest type factors, forest structure factors, forest quality factors, forest ecological function factors, and forest change factors; wherein, the forest type factor is used to express information on forest vegetation type, dominant tree species, forest type, or origin. The forest structure factors are used to express tree height, canopy closure, biomass, or volume. The forest quality factors are used to express the growth status, health level, degradation level, cover status, or vitality level of a forest. The forest ecological function factors are used to express carbon sequestration capacity, water conservation capacity, or windbreak and sand fixation capacity. The forest change factor is used to express information about forest recovery, degradation, disturbance, or type change over time.

4. The intelligent generation method for forest-themed data products according to claim 1, characterized in that, The thematic product rule base adopts a structured storage format and supports dynamic loading and hot updates; the product generation rules include one or more of the following: classification rules, hierarchical rules, partitioning rules, and comprehensive evaluation rules.

5. The intelligent generation method for forest-themed data products according to claim 4, characterized in that, The classification rules are used to convert forest thematic factors into thematic products of different categories; the grading rules are used to convert continuous factors into graded products, supporting grading based on equal intervals, natural breakpoints, quantiles, or custom thresholds; the zoning rules are used to perform spatial aggregation based on ecological zoning, administrative boundaries, or watershed units; and the comprehensive evaluation rules are used to define standardization methods, weight allocation, and fusion methods.

6. The intelligent generation method for forest-themed data products according to claim 1, characterized in that, The automatic generation of at least one forest-themed data product specifically includes: Based on the target product type, product templates are matched to determine the necessary forest-themed factors; The corresponding product generation rules are retrieved from the topic product rule library based on the product type; The calculation results after calling the rules are transformed into thematic representations in the form of layers, partition maps, or statistical results. Write additional metadata, which includes at least the product generation time, data source, rule version, spatial resolution, quality status, and update status; The generated forest thematic data products can be stored as raster layers, vector layers, statistical reports, or thematic maps.

7. The intelligent generation method for forest-themed data products according to claim 1, characterized in that, It also includes quality control steps: performing spatial consistency detection, outlier detection, boundary integrity detection, and low-confidence region identification on the generated forest thematic data products, and attaching quality metadata to each product, which includes spatial consistency score, outlier pixel ratio, boundary integrity identifier, and low-confidence region mask; An alarm is automatically triggered when the proportion of abnormal pixels exceeds a preset threshold; the low confidence area mask is output as a semi-transparent layer to assist in the identification of risk areas.

8. The intelligent generation method for forest-themed data products according to claim 1, characterized in that, The automatic execution of product updates and version management specifically includes: When a new set of basic data is detected, it is determined whether to trigger an update according to the product update rules. If an update is triggered, a full replacement, incremental overlay, or version branch generation will be performed according to the preset strategy. Each update generates a new version number and records the version time, update source, rule version, range of differences, and quality status.

9. The intelligent generation method for forest-themed data products according to claim 8, characterized in that, The version number adopts a three-level structure of major version number, sub-version number, and revision number: for large-scale basic data replacement, the major version number increments; for local area or local factor updates, the sub-version number increments; and for rule parameters or metadata revisions, the revision number increments.

10. A smart generation system for forest-themed data products, characterized in that, The intelligent generation method for forest-themed data products based on any one of claims 1 to 9 includes: The data access and organization module is used to acquire and uniformly organize multi-source basic data related to forest monitoring to form a standardized data foundation. The thematic factor extraction module is used to extract at least one type of forest thematic factor based on the data base and construct a standardized forest thematic factor system. The rule base management module is used to store, retrieve, and dynamically update the rule base for thematic products. The rule base includes at least product generation rules and product update rules. Thematic product generation module is used to automatically generate at least one forest thematic data product based on the forest thematic factor system and the thematic product rule base, and to attach traceable metadata to the generated forest thematic data product; The update and version management module is used to automatically perform product updates and version management based on the product update rules and new basic data.

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