Forest region and forest land identification method, device, equipment, medium and product

Abstract

The invention discloses a forest region forest land identification method, device and equipment, a medium and a product, and relates to the field of territorial space planning, and the method comprises the steps: extracting forest land data in territorial change survey data; sequentially performing spatial expansion, fusion and spatial retraction on the forest land data to generate forest land fusion data; based on a digital elevation model, performing partition statistics on the forest land data and the forest land fusion data to obtain a forest land data elevation statistical table and a forest land fusion data elevation statistical table; connecting the forest land fusion data elevation statistical table to the forest land fusion data, and performing screening to obtain forest region data; performing spatial intersection analysis on the forest region data and the forest land data to obtain forest region and forest land intersection data; and connecting the forest land data elevation statistical table to the forest region and forest land intersection data, and performing screening to obtain forest region and forest land data. According to the invention, the accuracy of forest region and forest land identification can be improved.

Description

Technical Field

[0001] This application relates to the field of land and space planning, and in particular to a method, device, equipment, medium and product for identifying forest land in forest areas. Background Technology

[0002] Forest resources are crucial foundational data for ecological protection, forestry management, and land use planning. Accurately identifying the boundaries of forest areas and land is essential for forest resource monitoring, urban assessment, land use control, and carbon sequestration assessment.

[0003] Land use change survey data, as fundamental data for national natural resource management, possesses authority, timeliness, and standardization. Its land classification system provides reliable data support for forest area and forest land identification. However, forest land data in land use change survey data only reflects land use attributes and is susceptible to interference from urban street trees and other map features, making it impossible to directly identify forest land within forest areas. Some regions use land use change survey data as a basis, using contiguous forest land larger than 100 hectares as the principle for identifying forest area boundaries. However, this method fails to consider the fragmented features of forest map features within forest areas and topographical characteristics, resulting in low identification accuracy. Therefore, how to conduct refined forest area and forest land identification based on land use change survey data has become a key technical requirement for urban health assessment, carbon sequestration assessment, and other related applications. Summary of the Invention

[0004] The purpose of this application is to provide a method, device, equipment, medium, and product for identifying forest land in forest areas, which can improve the accuracy of forest land identification.

[0005] To achieve the above objectives, this application provides the following solution.

[0006] In a first aspect, this application provides a method for identifying forest land in forest areas, comprising: extracting forest land data from land use change survey data; sequentially performing spatial expansion, fusion, and spatial contraction on the forest land data to generate fused forest land data; based on a digital elevation model, performing zonal statistics on the forest land data and the fused forest land data respectively to obtain a forest land data elevation statistics table and a fused forest land data elevation statistics table; connecting the fused forest land data elevation statistics table to the fused forest land data and filtering it to obtain forest area data; performing spatial intersection analysis on the forest area data and the forest land data to obtain forest area-forest land intersection data; connecting the forest land data elevation statistics table to the forest area-forest land intersection data and filtering it to obtain forest area-forest land data.

[0007] In one embodiment, extracting forest land data from land use change survey data specifically includes: acquiring land use change survey data; and extracting forest land data from the land use change survey data based on land use name or land use code.

[0008] In one embodiment, the forest land data is spatially expanded, merged, and spatially contracted sequentially to generate forest land fused data. Specifically, this includes: determining a set buffer radius based on the forest land data; expanding the forest land data based on the set buffer radius to generate expanded forest land data; spatially merging the expanded forest land data to generate expanded and merged forest land data; and spatially contracting the expanded and merged forest land data based on the set buffer radius to generate merged forest land data.

[0009] In one embodiment, based on a digital elevation model (DEM), the forest land data and the integrated forest land data are statistically analyzed by region to obtain a forest land data elevation statistics table and a integrated forest land data elevation statistics table. Specifically, this includes: performing a projection transformation on the coordinate system of the DEM to generate a DEM projection version consistent with the projected coordinate system of the land use change survey data; performing a rounding operation on the DEM projection version to generate an integer DEM; and performing regional statistical analysis on the forest land data based on the integer DEM, and then performing regional statistical analysis on the forest land data and the integrated forest land data to obtain the forest land data elevation statistics table and the integrated forest land data elevation statistics table.

[0010] In one embodiment, the forest land fusion data elevation statistics table is connected to the forest land fusion data and filtered to obtain forest area data. Specifically, this includes: connecting the forest land fusion data elevation statistics table to the forest land fusion data based on a unique identifier to obtain connected forest land fusion data; calculating the forest area and first elevation range range for each map patch in the connected forest land fusion data; the first elevation range range is the difference between the maximum and minimum elevation values ​​of each map patch in the connected forest land fusion data; and filtering the connected forest land fusion data based on the forest area, the first elevation range range, and the maximum elevation value to determine the forest area data.

[0011] In one embodiment, connecting the forest land data elevation statistics table to the forest area intersecting data and filtering it to obtain forest area forest land data specifically includes: connecting the forest land data elevation statistics table to the forest area intersecting data based on a unique identifier to obtain connected forest area intersecting data; calculating the second elevation range range for each patch in the connected forest area intersecting data; the second elevation range range is the difference between the maximum and minimum elevation values ​​of each patch in the connected forest area intersecting data; and filtering the connected forest area intersecting data based on the second elevation range range to obtain forest area forest land data.

[0012] Secondly, this application provides a forest area and forest land identification device, comprising: a forest land extraction module for extracting forest land data from land change survey data; a forest land processing module for sequentially performing spatial expansion, fusion, and spatial contraction on the forest land data to generate fused forest land data; an elevation statistics module for performing zonal statistics on the forest land data and the fused forest land data based on a digital elevation model to obtain a forest land data elevation statistics table and a fused forest land data elevation statistics table; a first filtering module for connecting the fused forest land data elevation statistics table to the fused forest land data and filtering it to obtain forest area data; a spatial intersection analysis module for performing spatial intersection analysis on the forest area data and the forest land data to obtain forest area and forest land intersection data; and a second filtering module for connecting the forest land data elevation statistics table to the forest area and forest land intersection data and filtering it to obtain forest area and forest land data.

[0013] Thirdly, this application provides a computer device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the forest area and forest land identification method described above.

[0014] Fourthly, this application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the forest area and forest land identification method described above.

[0015] Fifthly, this application provides a computer program product, including a computer program that, when executed by a processor, implements the forest area and forest land identification method described above.

[0016] According to the specific embodiments provided in this application, the following technical effects are disclosed: This application provides a method, apparatus, equipment, medium, and product for identifying forest land in forest areas. It utilizes the standardization of land use change data to extract forest land data, optimizes the forest land data through spatial expansion, fusion, and spatial contraction, and then combines this with a digital elevation model for zonal statistics. The elevation statistics table of the fused forest land data is connected to the fused forest land data and filtered to obtain forest area data. Spatial intersection analysis is performed on the forest area data and the forest land data to obtain forest area-forest land intersection data. The elevation statistics table of the forest land data is connected to the forest area-forest land intersection data and filtered to obtain forest area-forest land data, thereby improving the accuracy of forest land identification. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 A schematic diagram of the forest land identification method in forest areas.

[0019] Figure 2 This is a schematic diagram of two patches of forest land data.

[0020] Figure 3 This diagram illustrates the two expanded forest land data patches generated by performing buffer analysis on two patches of forest land data.

[0021] Figure 4 This is a schematic diagram of the generated forest land expansion fusion data patches, created by performing a spatial fusion operation on two patches of forest land expansion data.

[0022] Figure 5 This is a schematic diagram of an application scenario for generating forest land fusion data patches by performing an inward shrinking operation on the patches of the expanded and integrated forest land data.

[0023] Figure 6 A flowchart illustrating the forest land identification method in forest areas.

[0024] Figure 7 This is a schematic diagram of the functional modules of a forest land identification device.

[0025] Figure 8 This is a schematic diagram of the structure of a computer device provided in an embodiment of this application. Detailed Implementation

[0026] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0027] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, the application will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0028] In one exemplary embodiment, such as Figure 6As shown, a method for identifying forest land in forest areas is provided. This method is executed by computer equipment, specifically by a terminal or server alone, or by both a terminal and a server. In this embodiment, the method is described using a server as an example, and includes the following steps.

[0029] Step 601: Extract forest land data from the land change survey data.

[0030] Step 602: The forest land data is spatially expanded, merged, and spatially contracted in sequence to generate forest land fused data.

[0031] Step 603: Based on the digital elevation model, perform regional statistics on the forest land data and the forest land fusion data respectively to obtain the forest land data elevation statistics table and the forest land fusion data elevation statistics table.

[0032] Step 604: Connect the forest land integration data elevation statistics table to the forest land integration data and filter it to obtain forest area data.

[0033] Step 605: Perform spatial intersection analysis on the forest area data and the forest land data to obtain forest area-forest land intersection data.

[0034] Step 606: Connect the forest land data elevation statistics table to the forest area forest land intersection data and filter it to obtain forest area forest land data.

[0035] Forest land data is extracted using standardized land use change data. This data is then optimized through spatial expansion, fusion, and spatial contraction. A digital elevation model is used for zonal statistics. The elevation statistics table of the fused forest land data is connected to the fused forest land data and filtered to obtain forest area data. Spatial intersection analysis is performed on the forest area data and the forest land data to obtain forest area-forest land intersection data. The elevation statistics table of the forest land data is connected to the forest area-forest land intersection data and filtered to obtain forest area-forest land data, thereby improving the accuracy of forest area-forest land identification.

[0036] In an exemplary embodiment, extracting forest land data from land use change survey data specifically includes: acquiring land use change survey data; and extracting forest land data from the land use change survey data based on land use name or land use code.

[0037] In an exemplary embodiment, the forest land data is spatially expanded, merged, and spatially contracted sequentially to generate forest land fused data. Specifically, this includes: determining a set buffer radius based on the forest land data; expanding the forest land data based on the set buffer radius to generate expanded forest land data; spatially merging the expanded forest land data to generate expanded and merged forest land data; and spatially contracting the expanded and merged forest land data based on the set buffer radius to generate merged forest land data.

[0038] In an exemplary embodiment, based on a digital elevation model (DEM), the forest land data and the integrated forest land data are statistically analyzed by region to obtain a forest land data elevation statistics table and a integrated forest land data elevation statistics table. Specifically, this includes: performing a projection transformation on the coordinate system of the DEM to generate a projected version of the DEM consistent with the projected coordinate system of the land use change survey data; performing a rounding operation on the projected version of the DEM to generate an integer DEM; and performing regional statistical analysis on the forest land data based on the integer DEM, and then performing regional statistical analysis on the forest land data and the integrated forest land data to obtain the forest land data elevation statistics table and the integrated forest land data elevation statistics table.

[0039] In an exemplary embodiment, the forest land integration data elevation statistics table is connected to the forest land integration data and filtered to obtain forest area data. Specifically, this includes: connecting the forest land integration data elevation statistics table to the forest land integration data based on a unique identifier to obtain connected forest land integration data; calculating the forest area and first elevation range range for each map patch in the connected forest land integration data; the first elevation range range is the difference between the maximum and minimum elevation values ​​of each map patch in the connected forest land integration data; and filtering the connected forest land integration data based on the forest area, the first elevation range range, and the maximum elevation value to determine the forest area data.

[0040] In an exemplary embodiment, connecting the forest land data elevation statistics table to the forest area intersecting data and filtering it to obtain forest area forest land data specifically includes: connecting the forest land data elevation statistics table to the forest area intersecting data based on a unique identifier to obtain connected forest area intersecting data; calculating the second elevation range range for each patch in the connected forest area intersecting data; the second elevation range range is the difference between the maximum and minimum elevation values ​​of each patch in the connected forest area intersecting data; and filtering the connected forest area intersecting data based on the second elevation range range to obtain forest area forest land data.

[0041] This application utilizes land change survey data and digital elevation models, employing techniques such as "expansion-integration-contraction" optimization, elevation range statistics, and multi-threshold dynamic screening to accurately identify forest areas and forest land from land change survey data, thereby providing reliable data support for urban health assessment, carbon sequestration assessment, and other related tasks.

[0042] like Figure 1 As shown, as another exemplary embodiment, a specific process for the forest area identification method in practical application is also provided, including the following steps.

[0043] Forest land data is extracted from land use change survey data based on land use name or land use code.

[0044] The forest land data is subjected to spatial expansion, fusion, and contraction operations in a Geographic Information System (GIS) manner to generate fused forest land data.

[0045] Based on the digital elevation model, the forest land data and the integrated forest land data are subjected to zonal statistics in GIS spatial analysis, and relevant elevation information is statistically analyzed to finally obtain the elevation statistics table of the forest land data and the elevation statistics table of the integrated forest land data.

[0046] Connect the forest land integration data elevation statistics table to the forest land integration data, and filter out forest area data based on elevation threshold parameters, area threshold parameters, etc.

[0047] The forest area data and the forest land data are subjected to GIS spatial intersection analysis to obtain forest area and forest land intersection data.

[0048] The forest land data elevation statistics table is connected to the forest area forest land intersection data, and the forest area forest land data is filtered out by the elevation threshold parameter.

[0049] Furthermore, forest land data is extracted from land use change survey data based on land use name or land use code. Specifically, this includes: extracting map patches in the land use change survey data with land use name "arbor forest land", "shrub forest land", "bamboo forest land" or "other forest land" to form forest land data; or extracting map patches in the land use change survey data with land use code "0301", "0302", "0305" or "0307" to form forest land data.

[0050] Further, the forest land data is subjected to GIS spatial expansion, fusion, and contraction operations in sequence to generate forest land fused data. Specifically, this includes: setting a buffer radius based on the forest land data; performing an expansion operation on the forest land data through GIS buffer analysis to generate expanded forest land data, wherein the buffer radius is the set buffer radius; performing a spatial fusion operation on the expanded forest land data to generate expanded and fused forest land data; performing a contraction operation on the expanded and fused forest land data through GIS buffer analysis to generate fused forest land data, wherein the buffer radius is the negative value of the set buffer radius; and assigning a unique identifier to the fused forest land data.

[0051] The following section will further explain the method for generating integrated forest land data through specific application scenarios.

[0052] Figure 2 These are two patches of forest land data. Figure 3 To perform buffer analysis on two patches of forest land data, two patches of forest land extension data were generated. Figure 4 To perform spatial fusion on two patches of forest land expansion data, the resulting forest land expansion fused data patches are generated. Figure 5 To perform a shrinking operation on the patches of forest land expansion and fusion data, the resulting forest land fusion data patches are generated.

[0053] Furthermore, based on the digital elevation model, zoning statistics are performed on the forest land data and the integrated forest land data using GIS spatial analysis, and relevant elevation information is statistically analyzed to ultimately obtain elevation statistics tables for the forest land data and the integrated forest land data. Specifically, this includes: performing a projection transformation operation on the coordinate system of the digital elevation model to generate a digital elevation model projection version consistent with the projected coordinate system of the land use change survey data; performing a mathematical rounding operation on the digital elevation model projection version to generate an integer digital elevation model; and combining the integer digital elevation model with zoning statistics of the forest land data using GIS spatial analysis. The forest land data elevation statistics table is obtained by statistically analyzing relevant elevation information, including the maximum and minimum elevation values ​​within a map patch. The forest land data elevation statistics table should also retain the unique identifier information within the forest land data. Furthermore, based on the integer digital elevation model, zoning statistics are performed on the integrated forest land data using GIS spatial analysis, and relevant elevation information is also statistically analyzed to obtain the integrated forest land data elevation statistics table. The relevant elevation information includes the maximum and minimum elevation values ​​within a map patch, and the integrated forest land data elevation statistics table should also retain the unique identifier information within the integrated forest land data. Both the forest land data elevation statistics table and the integrated forest land data elevation statistics table include relevant elevation information.

[0054] Further, the elevation statistics table of the forest land fusion data is connected to the forest land fusion data, and forest area data is filtered out based on elevation threshold parameters, area threshold parameters, etc. Specifically, this includes: connecting the elevation statistics table of the forest land fusion data to the forest land fusion data using a shared unique identifier; performing area calculation on the connected forest land fusion data to obtain the forest area; calculating the elevation range range on the connected forest land fusion data, where the elevation range range is the difference between the maximum and minimum elevation values ​​within each map patch; and determining the maximum elevation threshold, elevation range range threshold, and forest area threshold based on the actual conditions of the study area; from... From the concatenated forest land fusion data, patches with maximum elevation values ​​exceeding the maximum elevation threshold are selected to generate forest land data that meets the maximum elevation threshold. From the concatenated forest land fusion data, patches with elevation range differences exceeding the elevation range difference threshold are selected to generate forest land data that meets the elevation range difference threshold. From the concatenated forest land fusion data, patches with forest land areas exceeding the forest land area threshold are selected to generate forest land data that meets the area threshold. The intersection of the forest land data that meets the maximum elevation threshold, the forest land data that meets the elevation range difference threshold, and the forest land data that meets the area threshold is taken to generate forest area data.

[0055] Furthermore, the forest land data elevation statistics table is connected to the forest area forest land intersection data, and the forest area forest land data is filtered out using an elevation threshold parameter. Specifically, this includes: connecting the forest land data elevation statistics table to the forest area forest land intersection data using a shared unique identifier; calculating the elevation range range for the connected forest area forest land intersection data, where the elevation range range is the difference between the maximum and minimum elevation values ​​within each map patch; determining the elevation range range threshold based on the actual situation of the study area; and filtering out map patches from the connected forest area forest land intersection data whose elevation range range exceeds the elevation range range threshold to generate the final forest area forest land data.

[0056] This application extracts forest land data from land use change survey data based on land use name or land use code; it sequentially performs GIS spatial expansion, fusion, and contraction operations on the forest land data to generate integrated forest land data; based on a digital elevation model, it performs GIS spatial analysis on the forest land data and the integrated forest land data, respectively, and statistically analyzes relevant elevation information, ultimately obtaining elevation statistics tables for the forest land data and the integrated forest land data; it connects the elevation statistics tables of the integrated forest land data to the integrated forest land data, and filters out forest area data based on elevation threshold parameters, area threshold parameters, etc.; it performs GIS spatial intersection analysis on the forest area data and the forest land data to obtain forest area-forest land intersection data; it connects the elevation statistics tables of the forest land data to the forest area-forest land intersection data, and filters out forest area-forest land data through elevation threshold parameters; using land use change survey data and a digital elevation model, it is possible to accurately identify forest areas and forest land from land use change survey data, thereby providing reliable data support for urban health assessment, carbon sequestration assessment, etc.

[0057] Based on the same inventive concept, this application also provides a forest area and forest land identification device for implementing the forest area and forest land identification method described above. The solution provided by this device is similar to the solution described in the above method. Therefore, the specific limitations of one or more forest area and forest land identification device embodiments provided below can be found in the limitations of the forest area and forest land identification method above, and will not be repeated here.

[0058] In one exemplary embodiment, such as Figure 7 As shown, a forest area and forest land identification device is provided, comprising: a forest land extraction module for extracting forest land data from land change survey data; a forest land processing module for sequentially performing spatial expansion, fusion, and spatial contraction on the forest land data to generate fused forest land data; an elevation statistics module for performing zonal statistics on the forest land data and the fused forest land data based on a digital elevation model to obtain a forest land data elevation statistics table and a fused forest land data elevation statistics table; a first filtering module for connecting the fused forest land data elevation statistics table to the fused forest land data and filtering it to obtain forest area data; a spatial intersection analysis module for performing spatial intersection analysis on the forest area data and the forest land data to obtain forest area and forest land intersection data; and a second filtering module for connecting the forest land data elevation statistics table to the forest area and forest land intersection data and filtering it to obtain forest area and forest land data.

[0059] In one exemplary embodiment, a computer device is provided, which may be a server or a terminal, and its internal structure diagram may be as follows. Figure 8As shown, this computer device includes a processor, memory, input / output (I / O) interfaces, and a communication interface. The processor, memory, and I / O interfaces are connected via a system bus, and the communication interface is also connected to the system bus via the I / O interfaces. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and a database. The internal memory provides the environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The database stores forest land identification data. The I / O interfaces are used for exchanging information between the processor and external devices. The communication interface is used for communication with external terminals via a network connection. When the computer program is executed by the processor, it implements a forest land identification method.

[0060] Those skilled in the art will understand that Figure 8 The structures shown are merely block diagrams of some structures related to the present application and do not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than shown in the figures, or combine certain components, or have different component arrangements. In an exemplary embodiment, a computer device is provided, including a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the above-described method embodiments.

[0061] In one exemplary embodiment, a computer-readable storage medium is provided storing a computer program that, when executed by a processor, implements the above-described method embodiments.

[0062] In one exemplary embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the above-described method embodiments.

[0063] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0064] In this application, all actions to acquire signals, information, or data are carried out in compliance with the relevant data protection laws and policies of the country where the location is situated, and with the authorization granted by the owner of the relevant device.

[0065] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the above-mentioned embodiments. In particular, any reference to memory, database, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM).

[0066] The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0067] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0068] This document uses specific examples to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the methods and core ideas of this application. Furthermore, those skilled in the art will recognize that, based on the ideas of this application, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A method for identifying forest land in forest areas, characterized in that, The forest land identification method includes: Extract forest land data from the land use change survey data; The forest land data is sequentially expanded spatially, merged spatially, and contracted spatially to generate merged forest land data; Based on the digital elevation model, the forest land data and the forest land fusion data are divided into zones for statistical analysis to obtain forest land data elevation statistics table and forest land fusion data elevation statistics table. Connect the forest land integration data elevation statistics table to the forest land integration data and filter it to obtain forest area data; Spatial intersection analysis is performed on the forest area data and the forest land data to obtain forest area-forest land intersection data; The forest land elevation statistics table is connected to the forest area intersecting data, and then filtered to obtain the forest area forest land data.

2. The forest land identification method according to claim 1, characterized in that, Extracting forest land data from land use change survey data, specifically including: Obtain land change survey data; Forest land data is obtained by extracting land use change survey data based on land use name or land use code.

3. The forest area forest land identification method according to claim 1, characterized in that, The forest land data is sequentially spatially expanded, merged, and spatially contracted to generate integrated forest land data, specifically including: The buffer radius is determined based on the forest land data. The forest land data is expanded outward based on the set buffer radius to generate expanded forest land data; Spatial fusion is performed on the aforementioned forest land expansion data to generate forest land expansion fused data; The forest land expansion and integration data is spatially reduced based on the set buffer radius to generate forest land integration data.

4. The forest area forest land identification method according to claim 1, characterized in that, Based on the digital elevation model, the forest land data and the integrated forest land data are statistically analyzed by region to obtain forest land data elevation statistics tables and integrated forest land data elevation statistics tables, specifically including: The coordinate system of the digital elevation model is transformed by projection to generate a digital elevation model projection version that is consistent with the projected coordinate system of the land change survey data; Perform a mathematical rounding operation on the projected digital elevation model to generate an integer digital elevation model; Based on the integer digital elevation model, the forest land data and the forest land fusion data are divided into zones for statistical analysis to obtain forest land data elevation statistics table and forest land fusion data elevation statistics table.

5. The forest land identification method according to claim 1, characterized in that, The forest land integration data elevation statistics table is connected to the forest land integration data and filtered to obtain forest area data, specifically including: The forest land integration data elevation statistics table is linked to the forest land integration data based on the unique identifier to obtain the linked forest land integration data. Calculate the forest area and the first elevation range range for each patch in the connected forest land fusion data; the first elevation range range is the difference between the maximum and minimum elevation values ​​of each patch in the connected forest land fusion data. Based on the integrated forest land data, the forest area data is determined by filtering according to forest area, range of first elevation, and maximum elevation value.

6. The forest land identification method according to claim 1, characterized in that, The forest land elevation statistics table is connected to the forest area intersecting data, and then filtered to obtain the forest area forest land data, specifically including: The forest land elevation statistics table is connected to the forest area intersection data based on the unique identifier to obtain the connected forest area intersection data. Calculate the second elevation range range for each patch in the connected forest area and forest land intersection data; the second elevation range range is the difference between the maximum and minimum elevation values ​​of each patch in the connected forest area and forest land intersection data. Based on the intersection data of the connected forest areas and forest lands, the forest area and forest land data are obtained by filtering according to the range of the second elevation range.

7. A forest area forest land identification device, characterized in that, The forest area forest land identification device includes: The forest land extraction module is used to extract forest land data from land change survey data. The forest land processing module is used to sequentially perform spatial expansion, fusion, and spatial contraction on the forest land data to generate fused forest land data. The elevation statistics module is used to perform regional statistics on the forest land data and the forest land fusion data based on the digital elevation model, and to obtain the forest land data elevation statistics table and the forest land fusion data elevation statistics table. The first filtering module is used to connect the forest land integration data elevation statistics table to the forest land integration data and filter it to obtain forest area data; The spatial intersection analysis module is used to perform spatial intersection analysis on the forest area data and the forest land data to obtain forest area-forest land intersection data; The second filtering module is used to connect the forest land data elevation statistics table to the forest area forest land intersection data and filter the data to obtain the forest area forest land data.

8. A computer device, comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that the processor executes the computer program to implement the forest area forest land identification method according to any one of claims 1-6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the computer program implements the forest area identification method as described in any one of claims 1-6.

10. A computer program product, comprising a computer program, characterized in that, When executed by a processor, the computer program implements the forest area identification method as described in any one of claims 1-6.

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