A land vegetation data management method, device, equipment, medium and product
By dividing and coding terrestrial vegetation areas into land use units, the problem of inconsistent data management in existing technologies has been solved, achieving accurate labeling and efficient management, and supporting ecological protection and land management.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CHINA INST OF WATER RESOURCES & HYDROPOWER RES
- Filing Date
- 2026-03-03
- Publication Date
- 2026-06-05
AI Technical Summary
In existing technologies, terrestrial vegetation data management lacks uniformity, vegetation indices fail to reflect community characteristics, and data is duplicated, missing, and difficult to compare, affecting ecosystem assessment and carbon sink assessment.
By dividing terrestrial vegetation areas into land use units, using latitude and longitude grid coding rules and plant community coding, combined codes are generated and stored in a geographic information system to achieve accurate labeling and data management.
It enables precise labeling and efficient management of terrestrial vegetation information, supports ecological protection and land management, and promotes data sharing and cross-departmental collaboration.
Smart Images
Figure CN122152953A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of vegetation data management technology, and in particular to a method, apparatus, equipment, medium and product for terrestrial vegetation data management. Background Technology
[0002] The impacts of climate change and land development on ecosystems are receiving increasing attention. Currently, land use maps used at the regional level fail to reflect the characteristics of terrestrial ecosystems and lack dynamism. Globally, vegetation indices are widely used, reflecting only vegetation growth and not community characteristics, and their fine scale is unsuitable for land management. Land use and vegetation surveys are currently two completely parallel systems, suffering from inconsistent spatial labeling, weak ecological information integration capabilities, and poor cross-departmental data compatibility. Furthermore, inconsistencies in coordinate systems and grid division standards across different departments or projects lead to data duplication, missing data, or difficulty in comparison, severely impacting unified data management and long-term accumulation. Especially in today's context of global warming, the direction and status of ecosystem succession, as well as global carbon sequestration assessments, are increasingly important, necessitating a unified vegetation data management method. The current map sheet coding method and vegetation index data make it difficult to achieve efficient data collection, accurate ecological analysis, and convenient data sharing. Summary of the Invention
[0003] The purpose of this application is to provide a method, apparatus, equipment, medium and product for terrestrial vegetation data management, which can realize accurate labeling and data management of terrestrial vegetation land management and plant community information, thereby improving the management efficiency of terrestrial vegetation information.
[0004] To achieve the above objectives, this application provides the following solution: Firstly, this application provides a method for managing terrestrial vegetation data, including: Based on the latitude and longitude grid range of the terrestrial vegetation area to be marked, the terrestrial vegetation area to be marked is divided into multiple land use units; Each land use unit is coded according to the established latitude and longitude grid coding rules to obtain the topographic map code corresponding to each land use unit; The plant community code for each land use unit is determined based on the land use type of each land use unit; The topographic map codes and plant community codes of each land use unit are combined to obtain a combined code; The combined codes and plant community characteristics of each land use unit are stored in a geographic information system based on geographic coordinates; the geographic information system is used to query the plant community characteristics of each land use unit in each terrestrial vegetation area; the plant community characteristics include NDVI, plant community composition, dominant species community, and associated species of the dominant species community.
[0005] Optionally, the plant community code for each land use unit may be determined based on the land use type of each land use unit, specifically including: For any given land use unit: If the land type of the land use unit is known, the land type code corresponding to the land type is combined with the plant code corresponding to the dominant plant community of the land use unit to obtain the plant community code of the land use unit. If the land type of the land use unit is unknown, the land type of the land use unit is determined based on the NDVI of the land use unit. The land type code corresponding to the land type is then combined with the plant code corresponding to the dominant plant community of the land use unit to obtain the plant community code of the land use unit.
[0006] Optionally, the plant code corresponding to the dominant plant community is the Latin name of the dominant plant community.
[0007] Optionally, the land type of the land use unit can be determined based on its NDVI, specifically including: Obtain the NDVI range corresponding to each land type; The land type of the land use unit is determined based on the NDVI range where the NDVI of the land use unit is located.
[0008] Optionally, based on the latitude and longitude grid range of the terrestrial vegetation area to be marked, the terrestrial vegetation area to be marked is divided into multiple land use units, specifically including: Based on the latitude and longitude grid range of the terrestrial vegetation area to be labeled, the terrestrial vegetation area to be labeled is spatially divided using a global discrete grid to obtain an initial division result; Based on the preset regional division accuracy requirements of each plant community, the initial division results are adjusted to increase the division accuracy, thereby generating a grid set covering the terrestrial vegetation area to be labeled. Each grid cell in the grid set corresponds to a land use unit.
[0009] Optionally, the land use types include bare land, desert, low-coverage grassland, sparse woodland, shrubland, medium-coverage grassland, high-coverage grassland, arbor forest and swamp.
[0010] Secondly, this application provides a terrestrial vegetation data management device, wherein the terrestrial vegetation data management method is applied to the aforementioned terrestrial vegetation data management device, and the terrestrial vegetation data management device includes: The region division module is used to divide the terrestrial vegetation area to be marked into multiple land use units according to the latitude and longitude grid range of the terrestrial vegetation area to be marked. The topographic map coding determination module is used to encode each land use unit according to the set latitude and longitude grid coding rules to obtain the topographic map code corresponding to each land use unit. The plant community coding determination module is used to determine the plant community code of each land use unit based on the land use type of each land use unit; The combined coding determination module is used to combine the topographic map codes and plant community codes of each land use unit to obtain the combined code; The data sharing module is used to store the combined codes and plant community characteristics of each land use unit into the geographic information system based on geographic coordinates; the geographic information system is used to query the plant community characteristics of each land use unit in each terrestrial vegetation area; the plant community characteristics include NDVI, plant community composition, dominant species community, and associated species of the dominant species community.
[0011] 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 steps of the land vegetation data management method described in any one of the above.
[0012] Fourthly, this application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the land vegetation data management method described above.
[0013] Fifthly, this application provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the land vegetation data management method described above.
[0014] 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 managing terrestrial vegetation data. Based on the latitude and longitude grid range of the terrestrial vegetation area to be labeled, the area is divided into multiple land use units. Each land use unit is coded according to a set latitude and longitude grid coding rule to obtain a topographic map code corresponding to each land use unit. The plant community code of each land use unit is determined based on its land use type. The topographic map code and plant community code of each land use unit are concatenated to obtain a combined code. This combined code is a unique code representing both location information and plant community information. By combining spatial positioning technology with plant community characteristics and employing standardized grid division and coding technology, accurate labeling of terrestrial vegetation information is achieved. Through a Geographic Information System (GIS), shared querying of terrestrial vegetation information collected from multiple sources can be realized, improving the management efficiency of terrestrial vegetation information. Attached Figure Description
[0015] 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.
[0016] Figure 1 This is a flowchart illustrating a method for managing terrestrial vegetation data, provided as an embodiment of this application.
[0017] Figure 2 A schematic diagram showing the combined coding of each land use unit of survey point 1 provided in an embodiment of this application.
[0018] Figure 3 An aerial photograph of survey point 1 provided in an embodiment of this application.
[0019] Figure 4 A schematic diagram showing the combined coding of each land use unit of survey point 2 provided in an embodiment of this application.
[0020] Figure 5 An aerial photograph of survey point 2 provided in one embodiment of this application.
[0021] Figure 6 This is a schematic diagram of the functional modules of a terrestrial vegetation data management device provided in an embodiment of this application.
[0022] Figure 7 This is a schematic diagram of the structure of a computer device provided in an embodiment of this application. Detailed Implementation
[0023] 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.
[0024] 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.
[0025] In one exemplary embodiment, a method for managing terrestrial vegetation data is provided, such as... Figure 1 As shown, the terrestrial vegetation data management method includes steps 101-106.
[0026] Step 101: Divide the terrestrial vegetation area to be marked into multiple land use units according to the latitude and longitude grid range of the area to be marked.
[0027] Step 102: Encode each land use unit according to the set latitude and longitude grid coding rules to obtain the topographic map code corresponding to each land use unit.
[0028] Step 103: Determine the plant community code for each land use unit based on its land use type.
[0029] Step 104: Combine the topographic map code and the plant community code of each land use unit to obtain the combined code.
[0030] Step 105: Store the combined codes and plant community characteristics of each land use unit in the geographic information system according to the geographic coordinates; the geographic information system is used to query the plant community characteristics of each land use unit in each terrestrial vegetation area.
[0031] The plant community characteristics include the Normalized Difference Vegetation Index (NDVI), plant community composition, dominant species communities, and associated species of dominant species communities.
[0032] A land use unit typically needs to be divided into multiple plant community units, and a land use unit must include at least one plant community.
[0033] This application addresses the inconsistencies in existing terrestrial vegetation survey labeling methods and the lack of correlation between plant community characteristics and land use types and the National Density Variable Index (NDVI). By using grid division and encoding embedding of plant community characteristics, it ensures unified spatial data collection rules. Precise coding and labeling improve the scientific rigor and effectiveness of vegetation data, providing reliable data support for ecological protection and land management. A GIS system is used for storage and management. Each combined code corresponds to the plant community characteristics of a specific location, including its NDVI classification, dominant plant community, and plant community structure. This coding system ensures accurate data storage and efficient retrieval, facilitating management and analysis. Data management and sharing through a GIS platform enhance the efficiency of ecological protection and land management.
[0034] In an exemplary embodiment, step 101 specifically includes: steps 201-202.
[0035] Step 201: Based on the latitude and longitude range of the terrestrial vegetation area to be labeled, the terrestrial vegetation area to be labeled is spatially divided using Discrete Global Grid Systems (DGGS) to obtain the initial division result.
[0036] Step 202: Based on the preset regional division accuracy requirements for each plant community, adjust the initial division result to generate a grid set covering the terrestrial vegetation area to be labeled. Each grid cell in the grid set corresponds to a land use unit. Each grid cell obtains a globally unique spatial location code, i.e., a topographic map code.
[0037] This example uses a multi-scale adaptive subdivision strategy based on the accuracy requirements of plant community surveys to obtain a self-adaptive land use unit division structure.
[0038] In one exemplary embodiment, determining the topographic map code specifically includes: identifying a terrestrial vegetation area to be labeled, encompassing the survey point and its surrounding area, based on remote sensing imagery, such as historical Google Earth imagery. Figure 2 and Figure 4 As shown, Figure 2 The geographical location of a basin and its survey point 1 is shown. Figure 4 The geographical location of survey point 2 is shown. Aerial images of survey points 1 and 2 are shown below. Figure 3 and Figure 5 As shown.
[0039] Based on the latitude and longitude of the survey points, the H3 global discrete grid system (i.e., hexagonal hierarchical spatial index) was used as the spatial coding benchmark. To balance survey efficiency and accuracy, an adaptive hierarchical selection strategy was adopted. Considering the relatively scattered vegetation distribution in this basin, the H3 level 11 grid (average side length approximately 27.77 meters) was selected for macroscopic coverage, and the spatial code of each survey point was calculated using the H3 algorithm.
[0040] For example, the grid code for survey point 1 with coordinates (96.82048533, 37.07835716) is 8b24828a30e6fff; the topographic map code for survey point 1 with coordinates (95.40053818, 37.56764059) is 8b24b3add209fff.
[0041] In an exemplary embodiment, step 103 specifically includes: for any land use unit: if the land type of the land use unit is known, then the land type code corresponding to the land type is combined with the plant code corresponding to the dominant plant community of the land use unit to obtain the plant community code of the land use unit; knowing the land type of the land use unit means directly obtaining the land type of the land use unit from the data of a prior survey. The dominant plant community of the land use unit is obtained through survey, specifically through field survey.
[0042] If the land type of the land use unit is unknown, the land type of the land use unit is determined based on the NDVI of the land use unit. The land type code corresponding to the land type is then combined with the plant code corresponding to the dominant plant community of the land use unit to obtain the plant community code of the land use unit.
[0043] In an exemplary embodiment, determining the land type of a land use unit based on its NDVI specifically includes: obtaining the NDVI range corresponding to each land type; and determining the land type of the land use unit based on the NDVI range where the NDVI of the land use unit is located.
[0044] Obtain the pre-established NDVI land type classification system, and specifically obtain the NDVI range corresponding to each land type based on the NDVI land type classification system.
[0045] The NDVI value, plant community composition, dominant species, and main associated species of each land use unit are input into the plant community classification module to obtain the plant community characteristics of each land use unit.
[0046] In one exemplary embodiment, the land use types include bare land, desert, low-coverage grassland, sparse woodland, shrubland, medium-coverage grassland, high-coverage grassland, arbor forest and swamp, as shown in Table 1.
[0047] Step 103, determining the plant community code, specifically includes: classifying and coding the plant community at each survey point based on the actual plant community characteristics and the NDVI classification units shown in Table 1. In Table 1, the NDVI classification and coding reflect the characteristics of the next higher level unit of the plant community, primarily land use type. For example, at survey point 1, the NDVI classification is level 2, indicating desert; the dominant plant in the plant community survey is Haloxylon ammodendron. Haloxylon ammodendron The plant community is coded as L61- Haloxylon .
[0048] This application stores the combined codes, geographic coordinates, and plant community characteristics of each land use unit as a data base in the database of a geographic information system.
[0049] In step 105, the associated species of the dominant species community are specifically the main associated species of the dominant species community.
[0050] In one exemplary embodiment, the plant code corresponding to the dominant plant community is the Latin name of the dominant plant community. The Latin name reflects the family, genus, and species to which the plant belongs, and different plant species have globally unique characteristics.
[0051] Plant community coding adopts the format of "land use type code + dominant plant community Latin name".
[0052] The geographic information system is used to query the plant community characteristics of each land use unit in each terrestrial vegetation region.
[0053] Plant community characteristics refer to the morphological and anatomical features of various plants in the entire community. Based on these characteristics, plants are classified and the quantity or coverage of each plant is counted. On this basis, the dominant plant community (the species that are absolutely dominant in number) is determined, and other species are identified as the main associated species.
[0054] In one exemplary embodiment, this application investigates and classifies the plant community characteristics corresponding to land use units at survey points within the terrestrial vegetation area to be labeled, based on remote sensing data and field survey results. The plant community characteristics include the composition of dominant plant species and other plant species, as well as the abundance of each plant species.
[0055] For example, the plant community at survey point 1 includes Haloxylon ammodendron (Haloxylon ammodendron). Haloxylon ammodendron ) and associated plants are white thorn ( Nitraria sibiricnmThe dominant plant community is Haloxylon ammodendron, with the Latin name of the plant community in parentheses. 。
[0056] The plant community at survey point 2 includes reeds ( Phragmites australis The associated species is bulrush ( Scirpus triqueter ), sea leeks ( Triglochin maritimum ), Fibrophylla ( Hippuris vulgaris ), Yellow Flower Blood-Nourishing Herb ( Limonium aureum ), Pine needles and pigweed ( Salsola laricifolia ) and bulbils (Polygonum viviparum) Polygonum viviparum The dominant plant community at survey point 2 was reeds.
[0057] Plant community coding uses a combination of land use type and the Latin genus name of the dominant plant species. For example, the plant community code for survey point 1 is L61- Haloxylon The plant community code for survey point 2 is L64- Phragmites .
[0058] The combined coding forms a unique label code. The format of this combined code is: [latitude and longitude grid code] - [plant community type code]. The label code for survey point 1 is 8b24828a30e6fff-L61- Haloxylon The label code for survey point 2 is 8b24b3add209fff-L64- Phragmites ,like Figure 2 and Figure 4 As shown.
[0059] Each land use unit is precisely labeled with a unique combination code, ensuring data consistency across different regions and times, and facilitating data integration and comparison across regions and times.
[0060] The generated combined codes and related plant community data are stored in a database. Each combined code corresponds to a specific location's land use characteristics, including dominant plant types, plant community structure, canopy cover, NDVI value, etc., ensuring accurate data storage.
[0061] This application utilizes a GIS platform for the storage, retrieval, and spatial analysis of vegetation data, enabling precise labeling of terrestrial vegetation and ensuring data consistency and comparability. Spatial analysis combines labeled vegetation data with ecological data such as land use and ecologically sensitive areas to conduct multi-dimensional ecological assessments, thereby providing data support for ecological protection and land management. Through unified coding standards, data sharing and cross-platform collaboration between different departments, regions, or countries can be achieved, and even carbon exchange can be implemented.
[0062] Based on the same inventive concept, this application also provides a device for implementing the aforementioned terrestrial vegetation data management system. The solution provided by this device is similar to the solution described in the above method. Therefore, the specific limitations of one or more embodiments of the terrestrial vegetation data management device provided below can be found in the limitations of the terrestrial vegetation data management method described above, and will not be repeated here.
[0063] In one exemplary embodiment, such as Figure 6 As shown, a terrestrial vegetation data management device is provided, wherein the terrestrial vegetation data management method is applied to the terrestrial vegetation data management device, and the terrestrial vegetation data management device includes: The region division module is used to divide the terrestrial vegetation area to be marked into multiple land use units according to the latitude and longitude grid range where the terrestrial vegetation area to be marked is located.
[0064] The topographic map coding module is used to encode each land use unit according to the set latitude and longitude grid coding rules to obtain the topographic map code corresponding to each land use unit.
[0065] The plant community coding determination module is used to determine the plant community code of each land use unit based on the land use type of each land use unit.
[0066] The combined coding determination module is used to combine the topographic map codes and plant community codes of each land use unit to obtain the combined code.
[0067] The data sharing module is used to store the combined codes and plant community characteristics of each land use unit into the geographic information system based on geographic coordinates; the geographic information system is used to query the plant community characteristics of each land use unit in each terrestrial vegetation area; the plant community characteristics include NDVI, plant community composition, dominant species community, and associated species of the dominant species community.
[0068] In one exemplary embodiment, a terrestrial vegetation data management device further includes a data storage module for storing the combined codes, geographic coordinates, and plant community characteristics of each land use unit into a database.
[0069] 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 7As 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 operating system and computer programs in the non-volatile storage media to run. The database stores data related to terrestrial vegetation data management methods. The I / O interfaces are used for information exchange 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 terrestrial vegetation data management method.
[0070] Those skilled in the art will understand that Figure 7 The structure shown is merely a block diagram of a portion of the structure related to the present application and does 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 those shown in the figure, or combine certain components, or have different component arrangements.
[0071] In one exemplary embodiment, a computer device is also provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the above-described method embodiments.
[0072] In one exemplary embodiment, a computer-readable storage medium is provided storing a computer program that, when executed by a processor, implements the steps in the above-described method embodiments.
[0073] In one exemplary embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above-described method embodiments.
[0074] 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.
[0075] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments described above. Any references to memory, databases, 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).
[0076] 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.
[0077] 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.
[0078] 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 managing terrestrial vegetation data, characterized in that, The method for managing terrestrial vegetation data includes: Based on the latitude and longitude grid range of the terrestrial vegetation area to be marked, the terrestrial vegetation area to be marked is divided into multiple land use units; Each land use unit is coded according to the established latitude and longitude grid coding rules to obtain the topographic map code corresponding to each land use unit; The plant community code for each land use unit is determined based on the land use type of each land use unit; The topographic map codes and plant community codes of each land use unit are combined to obtain a combined code; The combined codes and plant community characteristics of each land use unit are stored in a geographic information system based on geographic coordinates; the geographic information system is used to query the plant community characteristics of each land use unit in each terrestrial vegetation area; the plant community characteristics include NDVI, plant community composition, dominant species community, and associated species of the dominant species community.
2. The terrestrial vegetation data management method according to claim 1, characterized in that, The plant community code for each land use unit is determined based on its land use type, specifically including: For any given land use unit: If the land type of the land use unit is known, the land type code corresponding to the land type is combined with the plant code corresponding to the dominant plant community of the land use unit to obtain the plant community code of the land use unit. If the land type of the land use unit is unknown, the land type of the land use unit is determined based on the NDVI of the land use unit. The land type code corresponding to the land type is then combined with the plant code corresponding to the dominant plant community of the land use unit to obtain the plant community code of the land use unit.
3. The terrestrial vegetation data management method according to claim 2, characterized in that, The plant code corresponding to the dominant plant community is the Latin name of the dominant plant community.
4. The terrestrial vegetation data management method according to claim 2, characterized in that, The land type of the land use unit is determined based on its NDVI, specifically including: Obtain the NDVI range corresponding to each land type; The land type of the land use unit is determined based on the NDVI range where the NDVI of the land use unit is located.
5. The terrestrial vegetation data management method according to claim 1, characterized in that, Based on the latitude and longitude grid range of the terrestrial vegetation area to be labeled, the terrestrial vegetation area to be labeled is divided into multiple land use units, specifically including: Based on the latitude and longitude grid range of the terrestrial vegetation area to be labeled, the terrestrial vegetation area to be labeled is spatially divided using a global discrete grid to obtain an initial division result; Based on the preset regional division accuracy requirements of each plant community, the initial division results are adjusted to increase the division accuracy, thereby generating a grid set covering the terrestrial vegetation area to be labeled. Each grid cell in the grid set corresponds to a land use unit.
6. The method for managing terrestrial vegetation data according to claim 1, characterized in that, The land use types include bare land, desert, low-coverage grassland, sparse woodland, shrubland, medium-coverage grassland, high-coverage grassland, arbor forest and swamp.
7. A terrestrial vegetation data management device, characterized in that, The terrestrial vegetation data management method is applied to the terrestrial vegetation data management device according to any one of claims 1-6, wherein the terrestrial vegetation data management device comprises: The region division module is used to divide the terrestrial vegetation area to be marked into multiple land use units according to the latitude and longitude grid range of the terrestrial vegetation area to be marked. The topographic map coding determination module is used to encode each land use unit according to the set latitude and longitude grid coding rules to obtain the topographic map code corresponding to each land use unit. The plant community coding determination module is used to determine the plant community code of each land use unit based on the land use type of each land use unit; The combined coding determination module is used to combine the topographic map codes and plant community codes of each land use unit to obtain the combined code; The data sharing module is used to store the combined codes and plant community characteristics of each land use unit into the geographic information system based on geographic coordinates; the geographic information system is used to query the plant community characteristics of each land use unit in each terrestrial vegetation area; the plant community characteristics include NDVI, plant community composition, dominant species community, and associated species of the dominant species community.
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 land vegetation data management 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 land vegetation data management method according to 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 land vegetation data management method according to any one of claims 1-6.