Forest land utilization optimization method and system combined with topographic mapping equipment

Abstract

The invention provides a woodland utilization optimization method and system combined with topographic mapping equipment, and relates to the technical field of woodland utilization optimization, and the method comprises the steps: obtaining a topographic mapping data flow of woodland according to the topographic mapping equipment; modeling to obtain a forest land visual model; dividing the forest land visual model to obtain a forest land development model, a forest land protection model and a forest land recovery model; making a forest land utilization decision, and building a forest land utilization ternary decision space; performing optimization analysis on the forest land utilization ternary decision space according to the forest land utilization ternary optimization channel, and generating a forest land utilization ternary optimization strategy; and executing forest land utilization optimization according to the forest land utilization ternary optimization strategy. Through the method and the device, the technical problem of low utilization efficiency of the forest land due to difficulty in meeting different requirements of different areas in the prior art can be solved, and the utilization efficiency of the forest land is improved by dividing the forest land and designing corresponding measures for different functional areas.

Description

Technical Field

[0001] The present application relates to the technical field of forest land utilization optimization, and in particular to a forest land utilization optimization method and system combined with terrain surveying and mapping equipment. Background Art

[0002] Forest land utilization refers to the rational arrangement and planning of the use and purpose of forest resources according to certain economic, social and ecological needs. Different regions have different climate, soil, vegetation and other characteristics. A single optimization plan may not be able to fully utilize local resource endowments or adapt to local environmental conditions. It does not fully consider the differences between different functional areas in the region, which often leads to over-exploitation or over-protection and inability to find a balance between economic and ecological benefits. Existing optimization methods often fail to fully consider regional specific differences, such as terrain, climate, vegetation, soil, and socio-economic conditions, resulting in the poor applicability of the same optimization plan in different regions and the easy neglect of individual needs within the region.

[0003] In summary, the existing technology has the technical problem of low efficiency of forest land utilization due to the difficulty in meeting the differentiated needs of different regions. Summary of the invention

[0004] The purpose of this application is to provide a forest land utilization optimization method and system combined with topographic surveying and mapping equipment to solve the technical problem in the prior art that it is difficult to meet the differentiated needs of different regions, resulting in low forest land utilization efficiency.

[0005] In view of the above problems, the present application provides a forest land utilization optimization method and system combined with topographic mapping equipment.

[0006] In a first aspect, the present application provides a forest land utilization optimization method combined with a topographic mapping device, wherein the forest land utilization optimization method combined with a topographic mapping device is implemented by a forest land utilization optimization system combined with a topographic mapping device, wherein the forest land utilization optimization method combined with a topographic mapping device comprises: obtaining a topographic mapping data stream of a forest land according to the topographic mapping device; modeling is performed based on the topographic mapping data stream in combination with a remote sensing image data stream and an environmental data stream of the forest land to obtain a visual model of the forest land; dividing the visual model of the forest land to obtain a forest land development model, a forest land protection model and a forest land restoration model; making forest land utilization decisions according to the forest land development model, the forest land protection model and the forest land restoration model, and constructing a ternary decision space for forest land utilization; performing optimization analysis on the ternary decision space for forest land utilization according to a ternary optimization channel for forest land utilization, and generating a ternary optimization strategy for forest land utilization; and performing forest land utilization optimization according to the ternary optimization strategy for forest land utilization based on the forest land development model, the forest land protection model and the forest land restoration model.

[0007] In a second aspect, the present application further provides a forest land utilization optimization system combined with a topographic mapping device, which is used to execute the forest land utilization optimization method combined with a topographic mapping device as described in the first aspect, wherein the forest land utilization optimization system combined with a topographic mapping device comprises: a data stream acquisition module, the data stream acquisition module is used to obtain a topographic mapping data stream of the forest land according to the topographic mapping device; a visual model construction module, the visual model construction module is used to model based on the topographic mapping data stream, combined with the remote sensing image data stream and the environmental data stream of the forest land, to obtain a visual model of the forest land; a model division module, the model division module is used to divide the visual model of the forest land to obtain a visual model of the forest land. A forest development model, a forest protection model and a forest restoration model; a decision space building module, the decision space building module is used to make forest land utilization decisions according to the forest development model, the forest protection model and the forest restoration model, and build a ternary decision space for forest land utilization; an optimization analysis module, the optimization analysis module is used to perform optimization analysis on the forest land utilization ternary decision space according to the forest land utilization ternary optimization channel, and generate a forest land utilization ternary optimization strategy; an optimization strategy execution module, the optimization strategy execution module is used to execute forest land utilization optimization according to the forest land utilization ternary optimization strategy based on the forest development model, the forest protection model and the forest restoration model.

[0008] One or more technical solutions provided in this application have at least the following technical effects or advantages: The topographic mapping data stream of the forest land is obtained according to the topographic mapping equipment; based on the topographic mapping data stream, modeling is performed in combination with the remote sensing image data stream and the environmental data stream of the forest land to obtain a visual model of the forest land; the visual model of the forest land is divided to obtain a forest land development model, a forest land protection model and a forest land restoration model; forest land utilization decisions are made according to the forest land development model, the forest land protection model and the forest land restoration model, and a ternary decision space for forest land utilization is constructed; the ternary decision space for forest land utilization is optimized according to the ternary optimization channel for forest land utilization, and a ternary optimization strategy for forest land utilization is generated; based on the forest land development model, the forest land protection model and the forest land restoration model, forest land utilization optimization is performed according to the ternary optimization strategy for forest land utilization. That is to say, by obtaining the topographic surveying and mapping data stream of the forest land, combining it with the remote sensing image data stream and the environmental data stream of the forest land for modeling, a visual model of the forest land is obtained, the forest land development model, the forest land protection model and the forest land restoration model are divided, and a ternary decision space for forest land utilization is built. Forest land utilization decisions are made according to the forest land development, protection and restoration models. The decision space is optimized through the ternary optimization channel for forest land utilization, and a ternary optimization strategy for forest land utilization is generated. Forest land utilization optimization is executed to achieve the optimization of forest land utilization and improve forest land utilization efficiency.

[0009] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented according to the contents of the specification, and in order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are specifically cited below. It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easy to understand through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] In order to more clearly illustrate the technical solutions in the present application or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0011] Figure 1 A schematic diagram of the process of optimizing the use of forest land in combination with topographic mapping equipment for this application; Figure 2 This is a structural schematic diagram of the forest land utilization optimization system combined with topographic mapping equipment for this application.

[0012] Explanation of the reference numerals: data flow acquisition module 11, visual model construction module 12, model division module 13, decision space construction module 14, optimization analysis module 15, optimization strategy execution module 16. DETAILED DESCRIPTION

[0013] This application solves the technical problem in the prior art that it is difficult to meet the differentiated needs of different regions, resulting in low efficiency in forest land utilization, by providing a forest land utilization optimization method and system combined with topographic mapping equipment. By obtaining the topographic mapping data stream of the forest land, combining the remote sensing image data stream and the environmental data stream of the forest land for modeling, a visual model of the forest land is obtained, and a forest land development model, a forest land protection model and a forest land restoration model are divided, and a ternary decision space for forest land utilization is constructed. Forest land utilization decisions are made according to the forest land development, protection and restoration models. The decision space is optimized through the ternary optimization channel for forest land utilization, and a ternary optimization strategy for forest land utilization is generated. The optimization of forest land utilization is executed to achieve the optimization of forest land utilization and improve the efficiency of forest land utilization.

[0014] Below, the technical solutions in the present application will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments of the present application. It should be understood that the present application is not limited to the example embodiments described herein. Based on the embodiments of the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application. It should also be noted that, for the convenience of description, only the parts related to the present application are shown in the accompanying drawings, rather than all of them.

[0015] For example, please refer to the attached Figure 1 The present application provides a forest land utilization optimization method combined with a topographic surveying and mapping device, wherein the forest land utilization optimization method combined with a topographic surveying and mapping device is applied to a forest land utilization optimization system combined with a topographic surveying and mapping device, and the forest land utilization optimization method combined with a topographic surveying and mapping device specifically includes the following steps: S100: Obtaining a topographic mapping data stream of a forest land according to the topographic mapping equipment.

[0016] Specifically, topographic surveying equipment is used to survey forest land, such as laser radar, drones, total stations, ground surveying equipment, etc. Topographic surveying equipment refers to tools or instruments used to obtain ground topography, landforms, and related spatial information. It can accurately measure the height, slope, undulations, and other features of the surface and build a terrain model. For example, laser radar equipment can accurately measure the three-dimensional coordinate information of each point. By scanning the forest area, a large amount of spatial data can be obtained, including the elevation of the ground, the height of the trees, the undulations of the ground, etc.

[0017] Topographic surveying data stream refers to the continuous data stream about the forest area collected by topographic surveying equipment, which contains spatial information about the forest's geographical location, height, slope, soil type, etc., usually transmitted and processed in digital format. The data stream is continuous and usually in digital format, such as point cloud data, 3D model, etc.

[0018] After the topographic mapping equipment completes data collection, the raw data is preprocessed, including noise removal, filling in topographic data, and outlier removal, to improve data quality. The preprocessed data is converted into a format suitable for subsequent analysis, including format conversion, coordinate system conversion, resolution adjustment, etc. Finally, the topographic data is decomposed into a series of continuous data blocks or streams to form a topographic mapping data stream. By using topographic mapping equipment to obtain the topographic mapping data stream of forest land, detailed forest land spatial information can be provided, providing data support for subsequent forest land division and optimization decisions.

[0019] S200: Modeling is performed based on the terrain surveying and mapping data stream in combination with the remote sensing image data stream and the environment data stream of the forest land to obtain a visual model of the forest land.

[0020] Specifically, multispectral or hyperspectral data of forest land is collected through remote sensing technology (such as satellite images, aerial photography, etc.) to extract vegetation coverage and distribution information. Remote sensing image data stream is the surface image information of forest land obtained through remote sensing technology, including information such as vegetation type, coverage area, distribution pattern, etc. of the forest land, usually in the form of optical images, multispectral images or radar images. The collected remote sensing images are radiometrically corrected to eliminate errors caused by changes in sensors and lighting conditions; geometric correction is also required to project the images into a unified coordinate system to eliminate distortion caused by projection deformation; features of interest (such as vegetation index NDVI) are extracted from remote sensing images that have undergone geometric and radiometric correction.

[0021] Environmental data streams are environmental conditions of the forest area collected through various sensors, weather stations or related databases, including meteorological data (temperature, humidity, rainfall, etc.), soil data (texture, fertility, etc.), air quality data and ecological data (species diversity, ecological pressure, etc.). Data preprocessing is performed on the environmental data stream to convert it into a format that can be input into modeling.

[0022] Convert terrain survey data streams, remote sensing image data streams, and environmental data streams into formats suitable for modeling, such as DEM (digital elevation model) format and TIN (triangulated network) format. Use modeling tools (such as AutoCAD Civil 3D, QGIS, or dedicated forest modeling software) to construct a three-dimensional terrain surface by connecting adjacent nodes to form a triangular mesh based on the terrain survey data stream. Map remote sensing image data to the three-dimensional terrain surface and overlay vegetation cover information to form a comprehensive image. Introduce environmental data streams and overlay them on the three-dimensional model in the form of different layers to mark regional features, such as wetlands, suitability levels, etc., to reflect the impact of environmental factors on forest land.

[0023] The forest visual model is a three-dimensional spatial model constructed based on terrain, remote sensing images and environmental data, showing the terrain characteristics, vegetation coverage, ecological conditions, etc. of the forest. The fusion of terrain, remote sensing and environmental data streams effectively integrates information from different data sources and improves the scientific nature of forest use decisions. The forest visual model shows the characteristics of different functional areas in the region (such as high slope areas suitable for protection and flat areas suitable for development), which is convenient for planning forest use according to local conditions.

[0024] S300: Divide the forest visual model to obtain a forest development model, a forest protection model and a forest restoration model.

[0025] Specifically, based on the existing visual model of forest land, the division criteria are determined according to the forest land's topographical features, vegetation type, soil type and other environmental data, as well as forestry development needs and protection goals. For example, development zones are usually flat or gently sloping areas, and the main purpose of development zones is to rationally utilize forest land resources while taking into account ecological protection; restoration zones may be hillsides or degraded areas, and the main purpose of restoration zones is to repair damaged ecosystems and restore their original ecological functions; protected areas are generally ecologically sensitive areas (such as wetlands and important water source protection areas), and the main purpose of protected areas is to protect the ecological environment and biodiversity, prohibit or restrict human activities, and maintain the integrity of the ecosystem.

[0026] Combined with the terrain data, vegetation data and environmental data streams in the visual model of the forest land, the geographic information system (GIS) tool is used to divide the forest land. According to the set division criteria, spatial analysis techniques (such as buffer analysis and cluster analysis) are used to divide the forest land area into development area, protection area and restoration area. After the regional division is completed, the development area, protection area and restoration area are displayed with different colors or logos using visualization tools, so that managers can intuitively view the division of each area and conduct relevant decision-making analysis. At the same time, further scenario simulations (such as climate change scenarios, land use change scenarios) can be carried out to evaluate the forest land functions and ecological service benefits under different division schemes.

[0027] The forest development model refers to the division and modeling of areas suitable for forestry production (such as agricultural planting, timber harvesting, infrastructure construction, etc.) based on the forest visual model, which is used to guide forestry development activities. It is usually an area with rich resources, relatively flat terrain, and suitable climate in the forest visual model. The forest protection model refers to the division and modeling of ecologically sensitive areas that need to be protected based on the forest visual model. It is used to guide ecological protection work such as water conservation areas and biological habitats. It is suitable for ecological protection and avoids over-exploitation. The forest restoration model refers to the division and modeling of areas that need ecological restoration based on the forest visual model. It is used to guide ecological restoration projects. Through comprehensive analysis of terrain, vegetation and environmental data, different forest functional areas can be accurately divided to achieve optimal allocation of resources, avoid over-exploitation or waste of resources, and ensure ecological balance.

[0028] S400: Making forest land utilization decisions based on the forest land development model, the forest land protection model and the forest land restoration model, and building a ternary decision space for forest land utilization.

[0029] Specifically, firstly, the respective needs are obtained according to the forest development model, forest protection model and forest restoration model, namely forest development demand, forest protection demand and forest restoration demand. Forest development demand refers to the development intensity, development type and scale of each region based on the development potential, technical requirements and resource carrying capacity of the region. Forest protection demand refers to the determination of the protected area, protection intensity and measures based on factors such as forest ecological value assessment, environmental protection priority and species protection needs. Forest restoration demand refers to the determination of restoration goals, areas and methods based on the ecological characteristics of degraded areas, restoration technology requirements and manpower requirements.

[0030] According to the needs of forest development, each area of ​​the forest development model is evaluated to generate a forest development decision space. Considering multiple factors such as ecological impact and resource carrying capacity, select the most suitable area for development; determine the degree and method of development, such as agricultural planting, ecotourism development, etc.; select appropriate development technology, such as agricultural technology, construction technology, and tourism facility construction. Similarly, according to the needs of forest protection, each area of ​​the forest protection model is evaluated to generate a forest protection decision space. According to the needs of forest restoration, each area of ​​the forest restoration model is evaluated to generate a forest restoration decision space.

[0031] The forest development decision space, forest protection decision space and forest restoration decision space are integrated to jointly build a ternary decision space for forest land use. The ternary decision space for forest land use includes development dimension, protection dimension and restoration dimension. The three dimensions of development, protection and restoration influence each other, and each decision will affect the strategies of the other two dimensions. The decision space aims to balance the relationship between development, protection and restoration, avoid over-development or protection, and ensure the sustainable use of resources. Through the construction and optimization of the ternary decision space, the needs of development, protection and restoration can be fully considered, and a balance can be achieved between development, protection and restoration, avoiding excessive development in a single direction and ensuring sustainable use.

[0032] S500: performing optimization analysis on the ternary decision space for forest land utilization according to the ternary optimization channel for forest land utilization, and generating a ternary optimization strategy for forest land utilization.

[0033] Specifically, according to the forestland development optimization channel in the forestland utilization ternary optimization channel, the forestland development decision space in the forestland utilization ternary decision space is optimized and analyzed to determine the forestland development optimization strategy. The development goal is to maximize the utilization rate of development resources and minimize resource losses, and balance the optimization between the two. According to the forestland protection optimization channel in the forestland utilization ternary optimization channel, the forestland protection decision space in the forestland utilization ternary decision space is optimized and analyzed to determine the forestland protection optimization strategy.

[0034] According to the forest restoration optimization channel in the forest utilization ternary optimization channel, the forest restoration decision space in the forest utilization ternary decision space is optimized and analyzed to determine the forest restoration optimization strategy. The optimization strategies of forest development, forest protection and forest restoration are integrated to form a unified forest utilization optimization strategy to guide the coordinated implementation of forest development, protection and restoration. Through the ternary optimization channel, the goals of development, protection and restoration are effectively combined to achieve the multi-objective optimal solution of forest utilization, balance the contradiction between economic development and ecological protection, and achieve sustainable development.

[0035] S600: Based on the forest development model, the forest protection model and the forest restoration model, perform forest utilization optimization according to the forest utilization ternary optimization strategy.

[0036] Specifically, according to the forest land development optimization strategy of the three-element optimization strategy of forest land use, the specific implementation content is decomposed, such as regional division, resource allocation, technical measures, etc. According to the forest land protection optimization strategy of the three-element optimization strategy of forest land use, ecological protection measures are set, such as protected areas, technical support, etc. According to the forest land restoration optimization strategy of the three-element optimization strategy of forest land use, restoration actions are planned, including restoration areas and corresponding restoration measures. According to the three-element optimization strategy of forest land use, the forest land development model, forest land protection model and forest land restoration model are specifically managed and utilized, including the type of development activities, the implementation of protection measures and the planning of restoration projects. A monitoring system is established to track the implementation effect of the optimization strategy, monitor the changes in development, protection and restoration indicators in real time during the implementation process, regularly update the development, protection and restoration model data, and optimize the implementation strategy for the next stage. Regularly evaluate the progress of forest land use, including the three aspects of development, protection and restoration. According to the monitoring and evaluation results, the implementation plan is adjusted in a timely manner to ensure the realization of long-term goals and promote the sustainable use of forestry resources. Through the ternary optimization strategy of forest land utilization, specific management and utilization of forest land can be carried out to improve the overall efficiency of forest land utilization, while ensuring that the goals of ecological protection and ecological restoration are met, so as to achieve sustainable utilization of forest land.

[0037] Further, the present application S400 includes: Demand analysis is performed based on the forest development model, the forest protection model and the forest restoration model to determine the forest development demand, forest protection demand and forest restoration demand; forest development decision is made on the forest development model based on the forest development demand to obtain a forest development decision space that meets a predetermined decision capacity; forest protection decision is made on the forest protection model based on the forest protection demand to obtain a forest protection decision space that meets the predetermined decision capacity; forest restoration decision is made on the forest restoration model based on the forest restoration demand to obtain a forest restoration decision space that meets the predetermined decision capacity; the forest development decision space, the forest protection decision space and the forest restoration decision space are integrated to generate the forest utilization ternary decision space.

[0038] Specifically, the development potential of the forest development model is distributed, the development target parameter configuration is determined, the development demand is generated, and the land area and resources required in the development process are clarified. According to factors such as species diversity, water conservation function, and climate regulation, the ecological value of the forest protection model is evaluated, and the protection target parameters are configured accordingly to generate protection demand, and the manpower, technical means, and protection measures required in the protection process are clarified. According to the forest restoration model, the characteristics of degraded areas in the forest (such as poor soil, reduced vegetation cover, water source depletion, etc.) are identified, and the degradation characteristics of these areas (such as excessive slope, soil structure damage, etc.) are calibrated. According to the different degradation characteristics, the corresponding restoration target parameters are configured, the restoration demand is generated, and the required restoration measures, resources, and technologies are clarified.

[0039] According to the development needs of forest land, including the assessment of development potential in the region, development intensity, technical support needs, staffing, etc., demand analysis is carried out to determine which areas are most suitable for development, the intensity of development and technical requirements, and the goals include improving land productivity, eco-tourism development, agricultural development, etc. According to the development needs of forest land, each area is evaluated, and the most suitable area for development is selected by considering multiple factors such as ecological impact and resource carrying capacity. The degree and method of development are determined, such as agricultural planting, eco-tourism development, etc., and appropriate development technologies are selected, such as agricultural technology, construction technology, and tourism facility construction.

[0040] The predetermined decision capacity is the maximum scope or maximum carrying capacity that can be executed in the pre-set decision process, which is usually constrained by factors such as resources and environmental carrying capacity. The predetermined decision capacity also needs to balance development needs and environmental carrying capacity. Through the analysis of different decision paths and possible options, a decision space is generated, including development areas, development intensity, development facilities, technical solutions, etc. Different options are provided on the premise of meeting the predetermined capacity constraints. The forest development decision space contains all feasible development options to ensure that all decisions are within the predetermined decision capacity.

[0041] Similarly, similar steps are performed for forest protection needs and forest restoration needs to obtain the corresponding forest protection decision space and forest restoration decision space. According to the forest protection needs, the protection decision goals are determined, such as maximizing the benefits of ecological protection and avoiding environmental damage. On the basis of ecological protection needs, a specific protection decision plan is formulated to obtain the forest protection decision space, including the area of ​​the protected area, the type and intensity of restricted development, and protection measures (such as species protection, ecological compensation, etc.), to ensure that all decisions in the forest protection decision space are within the predetermined decision capacity. According to the forest restoration needs, the restoration decision goals are determined, such as restoring the ecological functions of the degraded area and enhancing the ecological service functions of the region. On the basis of ecological restoration needs, a specific restoration decision plan is formulated, including determining the restoration area, restoration technology (such as vegetation restoration, soil and water conservation projects), etc., to ensure that all decisions in the forest restoration decision space are within the predetermined decision capacity.

[0042] Integrate the decision space for forest development, forest protection and forest restoration to ensure a comprehensive balance between environmental protection and resource development, and form a multi-dimensional and comprehensive decision space. Comprehensively consider the development potential, ecological protection needs and restoration needs of different regions to obtain a comprehensive forest utilization plan, namely the ternary decision space for forest utilization, and formulate clear decision rules and priorities for the ternary decision space for forest utilization. By analyzing and making decisions on various needs, ensure that the development, protection and restoration work in each region can be scientifically guided. By integrating different decision spaces, the efficiency of resource allocation can be improved, so that limited resources can be maximized.

[0043] Furthermore, the present application also includes the following steps: Perform development potential evaluation on the forest development model to obtain forest development potential evaluation distribution, and execute development target parameter configuration of the forest development model according to the forest development potential evaluation distribution to obtain the forest development demand; perform ecological value evaluation on the forest protection model to obtain forest ecological value evaluation distribution, and execute protection target parameter configuration of the forest protection model according to the forest ecological value evaluation distribution to generate the forest protection demand; perform degradation feature identification on the forest restoration model to obtain forest degradation feature identification results, and execute restoration target parameter configuration of the forest restoration model according to the forest degradation feature identification results to obtain the forest restoration demand.

[0044] Specifically, indicators related to development potential are selected in the forest development model, such as timber production, tree species suitability, terrain conditions, vegetation density, soil quality, etc., and the scores of different factors in the forest development model are determined according to actual standards. According to the impact of different factors on the development potential of forest land, corresponding weights are assigned to each factor, and the multi-dimensional evaluation indicators are combined to generate a forest development potential evaluation distribution map, which is presented in the form of heat maps, scoring maps, etc., and the development potential levels of different regions are represented by the depth of color or the distribution of color blocks, such as high potential areas, medium potential areas and low potential areas.

[0045] According to the distribution of forestland development potential evaluation, development target parameters are configured for regions with different potential levels, such as development scale, development time, development location, development form, investment requirements, etc. By rationally configuring development targets, it can be ensured that development activities match the actual development potential of the region. According to the configuration of development target parameters, specific forestland development needs are generated, including short-term and long-term development plans, resource requirements, etc.

[0046] Indicators that reflect ecological value are selected in the forest protection model, such as biodiversity, water conservation, carbon storage, landscape value, vegetation coverage (NDVI), etc. Different ecological indicators have different units and ranges (such as NDVI ranges from 0 to 1, and biodiversity is the number of species). These data need to be processed into a unified dimension through standardized methods (such as normalization). Use comprehensive weighted analysis to evaluate ecological value. According to the impact of different ecological functions (such as carbon sinks, soil and water conservation, etc.) on ecological value, weights are assigned, and the scores of each function in different areas are calculated. Weighted calculations are performed based on the scores and corresponding weights to obtain the distribution of forest ecological value assessment. The distribution of forest ecological value assessment refers to the display of the ecological value of different areas of forest land in the form of a spatial distribution map. Areas with high ecological value usually require more stringent protection measures, while areas with low ecological value may be suitable for less intensive utilization or restoration.

[0047] The distribution of forest ecological value assessment is mapped to the forest protection model to form a forest ecological value assessment distribution map, such as high ecological value areas, medium ecological value areas and low ecological value areas. According to the distribution of ecological value assessment, protection target parameters are configured for different ecological value areas, such as protection level, management measures, monitoring frequency, etc. For example, high ecological value areas need to be strictly protected, set high-frequency monitoring (once a day), set up fences and warning areas, and deploy patrol personnel. According to the configuration of protection target parameters, forest protection needs are generated, including technical needs, human resources, etc.

[0048] Based on historical data and expert experience, the causes of degradation (such as over-logging, fire, soil erosion, etc.) are identified in the forest restoration model to obtain degradation characteristics, such as vegetation coverage, soil erosion, etc. The degradation characteristic identification result is usually a spatial distribution map or list, which contains the type of degradation, severity and its distribution, such as severely degraded areas, moderately degraded areas and slightly degraded areas. According to the degradation characteristic identification results, specific restoration goals and parameters are configured for different areas, such as restoration measures, restoration timetables, expected goals, etc. For example, severely degraded areas need to be afforested, drought-resistant local tree species (such as pine trees and drought-resistant shrubs) are planted, and no-till reseeding combined with fertilization is adopted to promote vegetation recovery; in some special areas, such as sandy land or rocky desertification areas, biological measures (such as planting sand-fixing plants) and engineering measures (such as setting up sand barriers) are combined to fix sand dunes or rocky desertification areas and improve environmental conditions.

[0049] According to the configuration of restoration target parameters, forest restoration needs are generated, such as technical needs, manpower needs, material needs, etc., including the design of restoration projects and implementation plans. By configuring specific development target parameters, protection target parameters and restoration target parameters for the forest development model, forest protection model and forest restoration model, specific guidance and reference are provided for subsequent forest utilization activities. Through these parameter configurations, the relationship between forestry production, ecological protection and ecological restoration can be more effectively balanced to achieve sustainable use of forest land.

[0050] Furthermore, the present application S500 includes: The forest land utilization ternary optimization channel includes a forest land development optimization channel, a forest land protection optimization channel and a forest land restoration optimization channel; according to the forest land development optimization channel, the forest land development decision space is optimized and analyzed to determine the forest land development optimization strategy; according to the forest land protection optimization channel, the forest land protection decision space is optimized and analyzed to obtain the forest land protection optimization strategy; according to the forest land restoration optimization channel, the forest land restoration decision space is optimized and analyzed to generate the forest land restoration optimization strategy; the forest land development optimization strategy, the forest land protection optimization strategy and the forest land restoration optimization strategy are output as the forest land utilization ternary optimization strategy.

[0051] Specifically, the three-way optimization channel for forest land use refers to the strategic path used to optimize the three major needs of forest land development, protection and restoration, including the forest land development optimization channel, the forest land protection optimization channel and the forest land restoration optimization channel. The forest land development optimization channel is to optimize and analyze the needs of forest land development to find the most suitable development method, intensity and area; the forest land protection optimization channel is to optimize and analyze the needs of forest land protection to determine the best protection strategy and scope; the forest land restoration optimization channel is to optimize and analyze the needs of forest land restoration to determine the most effective restoration method, scope and steps.

[0052] According to the forest development resource utilization rate prediction model of the forest development optimization channel, the forest development decision space is initially optimized to screen out the forest development decision optimization space that meets the predetermined forest development resource utilization rate. Then, the forest development decision optimization space is further optimized through the forest development loss prediction model, and the plan with the smallest loss is selected as the forest development optimization strategy. According to the forest protection improvement prediction model and the forest protection efficiency prediction model in the forest protection optimization channel, the forest protection decision space is optimized to screen out the strategies that meet the expected conditions for forest protection and form the forest protection decision optimization space. The expected conditions for forest protection include protection improvement constraints and protection efficiency constraints. The forest protection fitness calculation model is used to maximize the forest protection fitness of the forest protection decision optimization space, and the protection strategy with the largest fitness is used as the forest protection optimization strategy.

[0053] According to the forest restoration quality prediction model and forest restoration efficiency prediction model of the forest restoration optimization channel, the forest restoration decision space is optimized, and the strategies that meet the expected conditions for forest restoration are screened out to form the forest restoration decision optimization space. The expected conditions for forest restoration include restoration quality constraints and restoration efficiency constraints. The forest restoration fitness calculation model is used to maximize the forest restoration fitness of the forest restoration decision optimization space, and the restoration strategy with the maximum forest restoration fitness is used as the forest restoration optimization strategy.

[0054] Integrate the optimization strategies for forest development, forest protection, and forest restoration to ensure that the three are coordinated and do not conflict with each other. During the strategy integration process, adjust the optimization parameters to achieve the overall optimal solution. Output the integrated optimization strategy as a ternary optimization strategy for forest utilization to avoid target conflicts (such as overlapping development and protection). By considering the goals of development, protection, and restoration at the same time, avoid resource waste or ecological damage caused by a single goal, ensure that the utilization of forest resources meets economic needs and protects the ecological environment, and promotes the restoration of degraded forest land, thus achieving sustainable management of forest resources.

[0055] Furthermore, the present application also includes the following steps: The forest development optimization channel includes a forest development loss prediction model and a forest development resource utilization prediction model; based on the forest development resource utilization prediction model, the forest development decision space is initially optimized to obtain a forest development decision optimization space that meets a predetermined forest development resource utilization rate; based on the forest development loss prediction model, the forest development decision optimization space is optimized to minimize forest development losses to generate the forest development optimization strategy.

[0056] Specifically, the forest development optimization channel includes the forest development loss prediction model and the forest development resource utilization prediction model. The forest development loss prediction model is used to predict the losses that may occur during the development process (such as ecological losses, economic losses, environmental losses, etc.), and the forest development resource utilization prediction model is used to predict the efficiency of resource utilization during the forest development process.

[0057] The process of building a forest development loss prediction model is as follows: obtain historical forest development data, including relevant data such as forest ecology (such as vegetation type, species diversity, soil quality, forest coverage), environment (such as air quality, water quality, noise level), development (such as development intensity, development method), and loss conditions. For each type of loss, define specific evaluation indicators. Perform data preprocessing on historical forest development data and divide it into training data sets and validation data sets. Construct a forest development loss prediction model through a decision tree. The decision tree divides nodes according to the input data set until the termination condition is reached (such as the maximum depth of the tree or the number of samples in the leaf node). Each node divides the data according to a certain feature until the loss result of each sample is finally predicted. Each branch path represents a different decision rule. The goal of the training process is to optimize the structure of the decision tree so that the tree can maximize the prediction accuracy, that is, reduce the error between the training data and the prediction results.

[0058] During the training process, the hyperparameters of the decision tree are constantly adjusted, such as the depth of the tree, the minimum number of sample splits, and the maximum number of leaf nodes. The performance of the trained decision tree model is evaluated through the validation data set, and the difference between the model prediction value and the true value is measured by the mean square error. If the model performs poorly, you can consider reselecting features, adjusting the model structure, or replacing other models. Until the model reaches convergence conditions, such as the validation set loss changes less than 0.01 for 5 consecutive rounds or the training set accuracy reaches 98%. The trained model is applied to the forest development optimization channel to predict the loss of forest development.

[0059] The process of building a forestland development resource utilization prediction model is as follows: obtain a historical forestland development resource utilization dataset, including land development area, resource input, development output, development method, resource utilization rate, etc. Similar to the construction process of the forestland development loss prediction model, the historical forestland development resource utilization dataset is preprocessed and divided into a training dataset and a validation dataset. Use the training dataset to train the model and adjust the model parameters (such as learning rate, regularization parameter, etc.) until the model can effectively fit the data. Evaluate the performance of the model through methods such as cross-validation to ensure that it can accurately predict resource utilization. After training, a regression model that can predict the resource utilization rate of forestland development projects is obtained. Input specific project characteristics (such as development area, resource input, development method, etc.), and the model can predict the corresponding resource utilization rate.

[0060] The forest development decision space is initially optimized through the forest development resource utilization rate prediction model, and each plan in the forest development decision space is input into the forest development resource utilization rate prediction model to obtain the corresponding forest development resource utilization rate. A value of the forest development resource utilization rate is predetermined to determine whether the resource utilization rate of the plan meets the requirements. The decision plans that meet the predetermined forest development resource utilization rate in the forest development decision space are screened to form the forest development decision optimization space.

[0061] Then, the schemes in the forest development decision optimization space are input into the forest development loss prediction model to predict the forest development loss, taking into account the ecological impacts of different development schemes (such as deforestation, land degradation, climate change, etc.), and calculating the size of these losses. In the forest development decision optimization space, the decision scheme with the smallest development loss is selected as the forest development optimization strategy. The forest development optimization strategy satisfies both the optimal resource utilization and the minimum development loss. Through the resource utilization prediction model and the optimization process, it is ensured that the development activities are carried out efficiently without wasting resources, avoiding overdevelopment, and the final forest development optimization strategy can balance resource utilization and ecological protection and promote regional sustainable development.

[0062] Furthermore, the present application also includes the following steps: The forest protection optimization channel includes a forest protection improvement degree prediction model, a forest protection efficiency prediction model and a forest protection fitness calculation model, wherein the forest protection fitness calculation model includes a protection improvement degree predetermined weight and a protection efficiency predetermined weight; setting expected forest protection conditions, wherein the expected forest protection conditions include a protection improvement degree constraint and a protection efficiency constraint; based on the forest protection improvement degree prediction model and the forest protection efficiency prediction model, optimizing the forest protection decision space according to the expected forest protection conditions to obtain the forest protection decision optimization space; optimizing the forest protection fitness maximization of the forest protection decision optimization space according to the forest protection fitness calculation model to generate the forest protection optimization strategy.

[0063] Specifically, the forest protection optimization channel includes the forest protection improvement degree prediction model, the forest protection efficiency prediction model and the forest protection fitness calculation model. Among them, the forest protection improvement degree prediction model is used to predict the degree of improvement in the ecological quality of forest land after the implementation of certain protection measures, which is measured by indicators such as ecological restoration, biodiversity improvement, and soil quality improvement; the forest protection efficiency prediction model is used to predict the effects of the resources and time invested in the implementation of different protection measures, evaluate the implementation effect and cost-effectiveness of protection measures, and help optimize resource allocation; the construction logic of the forest protection improvement degree prediction model and the forest protection efficiency prediction model is similar to the above-mentioned forest development loss prediction model, which will not be repeated here.

[0064] The forest protection fitness calculation model calculates the fitness of each plan by weighting multiple indicators of different protection plans (such as improvement, protection efficiency, etc.), and measures the superiority of a plan under specific constraints. The higher the fitness, the more the plan meets the expected protection goals. Set the expected conditions for forest protection, that is, a series of constraints and goals that need to be met in the process of forest protection, including but not limited to protection improvement constraints and protection efficiency constraints. Protection improvement constraints refer to the minimum ecological quality improvement standards that must be achieved after the implementation of protection measures; protection efficiency constraints refer to the minimum implementation efficiency standards that must be achieved after the implementation of protection measures, such as time consumption, resource input, etc.

[0065] Each protection strategy in the forest protection decision space is input into the forest protection improvement prediction model and the forest protection efficiency prediction model to determine the improvement and efficiency of all protection strategies. All protection strategies that meet the expected conditions for forest protection in the forest protection decision space are screened out, that is, protection strategies that meet the protection improvement constraint and protection efficiency constraint, and the forest protection decision optimization space is obtained. Each protection strategy in the forest protection decision optimization space meets the dual constraints of protection improvement and efficiency.

[0066] According to the forest protection fitness calculation model, the fitness of different protection strategies is evaluated based on improvement and efficiency using predetermined weights. The fitness of a protection strategy = predetermined weight of protection improvement × predicted improvement + predetermined weight of protection efficiency × predicted efficiency. Based on this fitness calculation, a fitness score is assigned to each protection scheme. A scheme with a high fitness indicates a greater possibility of meeting the expected conditions. For each protection scheme in the forest protection decision space, a fitness maximization optimization analysis is performed, that is, to find the protection scheme with the highest fitness. After this optimization process, a scheme that meets all the expected conditions and has the best protection effect can be found. Through the comprehensive analysis of multiple prediction models, personalized protection plans can be accurately formulated for each area to improve the efficiency of ecological restoration. By setting the weights of protection improvement and protection efficiency, the focus of protection measures can be flexibly adjusted to avoid excessive optimization of a single indicator leading to waste of resources.

[0067] Furthermore, the present application also includes the following steps: The forest restoration optimization channel includes a forest restoration quality prediction model, a forest restoration efficiency prediction model and a forest restoration fitness calculation model, wherein the forest restoration fitness calculation model includes a predetermined weight for restoration quality and a predetermined weight for restoration efficiency; setting expected conditions for forest restoration, wherein the expected conditions for forest restoration include restoration quality constraints and restoration efficiency constraints; based on the forest restoration quality prediction model and the forest restoration efficiency prediction model, optimizing the forest restoration decision space according to the expected conditions for forest restoration to obtain the forest restoration decision optimization space; optimizing the forest restoration fitness of the forest restoration decision optimization space to the maximum according to the forest restoration fitness calculation model to generate the forest restoration optimization strategy.

[0068] Specifically, the forest restoration optimization channel is a systematic channel used to analyze and optimize forest restoration plans. By introducing multiple models, it seeks the optimal restoration plan that balances quality, efficiency and adaptability. The forest restoration optimization channel includes a forest restoration quality prediction model, a forest restoration efficiency prediction model and a forest restoration fitness calculation model. Among them, the forest restoration quality prediction model is used to evaluate the quality of forest restoration after the implementation of a specific restoration plan, and is quantified by indicators such as soil improvement, vegetation coverage, and biodiversity; the forest restoration efficiency prediction model is used to predict the resource utilization efficiency of a specific restoration plan, and is measured by the ratio of resource input to ecological improvement effect per unit time; the construction logic of the forest restoration quality prediction model and the forest restoration efficiency prediction model is similar to the above-mentioned forest development loss prediction model, which will not be repeated here.

[0069] The forest restoration fitness calculation model is used to combine restoration quality and restoration efficiency to calculate the overall fitness level of each restoration plan, balancing the relative importance of quality and efficiency through predetermined weights. The forest restoration fitness calculation model includes predetermined weights for restoration quality and predetermined weights for restoration efficiency. By weighting multiple indicators of different restoration plans (such as restoration quality, restoration efficiency, etc.), the fitness of each plan is calculated to measure the superiority of a plan under specific constraints. The higher the fitness, the more the plan meets the expected protection goals.

[0070] Set the expected conditions for forest restoration, including restoration quality constraints and restoration efficiency constraints, that is, the minimum restoration standard and the minimum restoration efficiency standard. Input the forest restoration decision space into the forest restoration quality prediction model and the forest restoration efficiency prediction model to obtain the predicted restoration quality and predicted restoration efficiency. Screen out the restoration strategies that meet the expected conditions for forest restoration, that is, the predicted restoration quality meets the complex quality constraints, and the predicted restoration efficiency meets the restoration efficiency constraints, and obtain the forest restoration decision optimization space. The forest restoration decision space includes the range of all possible forest restoration schemes and their parameter combinations, which not only meet the restoration quality, but also meet the restoration efficiency.

[0071] According to the forest restoration fitness calculation model, the forest restoration decision optimization space is optimized to maximize the forest restoration fitness, and the fitness score of each restoration plan is calculated. Forest restoration fitness = restoration quality predetermined weight × predicted restoration quality + restoration efficiency predetermined weight × predicted restoration efficiency. According to the calculation results, the plan with the highest fitness is selected to obtain the forest restoration optimization strategy, which should include the best restoration measures, regional selection, timetable, etc. Through the optimization process, the conflict between restoration quality and efficiency is minimized, and the optimal strategy that takes into account both short-term and long-term effects is generated, which takes into account both the restoration quality of the ecosystem and the efficiency of the restoration activities, thereby achieving effective forest restoration and management.

[0072] In summary, the forest land utilization optimization method combined with topographic mapping equipment provided in this application has the following technical effects: The topographic mapping data stream of the forest land is obtained according to the topographic mapping equipment; based on the topographic mapping data stream, modeling is performed in combination with the remote sensing image data stream and the environmental data stream of the forest land to obtain a visual model of the forest land; the visual model of the forest land is divided to obtain a forest land development model, a forest land protection model and a forest land restoration model; forest land utilization decisions are made according to the forest land development model, the forest land protection model and the forest land restoration model, and a ternary decision space for forest land utilization is constructed; the ternary decision space for forest land utilization is optimized according to the ternary optimization channel for forest land utilization, and a ternary optimization strategy for forest land utilization is generated; based on the forest land development model, the forest land protection model and the forest land restoration model, forest land utilization optimization is performed according to the ternary optimization strategy for forest land utilization. That is to say, by obtaining the topographic surveying and mapping data stream of the forest land, combining it with the remote sensing image data stream and the environmental data stream of the forest land for modeling, a visual model of the forest land is obtained, the forest land development model, the forest land protection model and the forest land restoration model are divided, and a ternary decision space for forest land utilization is built. Forest land utilization decisions are made according to the forest land development, protection and restoration models. The decision space is optimized through the ternary optimization channel for forest land utilization, and a ternary optimization strategy for forest land utilization is generated. Forest land utilization optimization is executed to achieve the optimization of forest land utilization and improve forest land utilization efficiency.

[0073] Embodiment 2, based on the same inventive concept as the forest land utilization optimization method combined with topographic mapping equipment in the aforementioned embodiment 1, the present application also provides a forest land utilization optimization system combined with topographic mapping equipment, please refer to the attached Figure 2 , the forest land utilization optimization system combined with topographic surveying and mapping equipment includes: A data stream acquisition module 11, the data stream acquisition module 11 is used to obtain the topographic mapping data stream of the forest land according to the topographic mapping equipment; a visual model construction module 12, the visual model construction module 12 is used to model based on the topographic mapping data stream, combined with the remote sensing image data stream and the environmental data stream of the forest land, to obtain a forest land visual model; a model division module 13, the model division module 13 is used to divide the forest land visual model to obtain a forest land development model, a forest land protection model and a forest land restoration model; a decision space construction module 14, the decision space construction module 1 4 is used to make forest land utilization decisions according to the forest land development model, the forest land protection model and the forest land restoration model, and to build a ternary decision space for forest land utilization; an optimization analysis module 15, the optimization analysis module 15 is used to perform optimization analysis on the ternary decision space for forest land utilization according to the ternary optimization channel for forest land utilization, and to generate a ternary optimization strategy for forest land utilization; an optimization strategy execution module 16, the optimization strategy execution module 16 is used to perform forest land utilization optimization according to the ternary optimization strategy for forest land utilization based on the forest land development model, the forest land protection model and the forest land restoration model.

[0074] Furthermore, the decision space building module 14 in the forest land utilization optimization system combined with the terrain surveying and mapping equipment is also used for: Demand analysis is performed based on the forest development model, the forest protection model and the forest restoration model to determine the forest development demand, forest protection demand and forest restoration demand; forest development decision is made on the forest development model based on the forest development demand to obtain a forest development decision space that meets a predetermined decision capacity; forest protection decision is made on the forest protection model based on the forest protection demand to obtain a forest protection decision space that meets the predetermined decision capacity; forest restoration decision is made on the forest restoration model based on the forest restoration demand to obtain a forest restoration decision space that meets the predetermined decision capacity; the forest development decision space, the forest protection decision space and the forest restoration decision space are integrated to generate the forest utilization ternary decision space.

[0075] Furthermore, the decision space building module 14 in the forest land utilization optimization system combined with the terrain surveying and mapping equipment is also used for: Perform development potential evaluation on the forest development model to obtain forest development potential evaluation distribution, and execute development target parameter configuration of the forest development model according to the forest development potential evaluation distribution to obtain the forest development demand; perform ecological value evaluation on the forest protection model to obtain forest ecological value evaluation distribution, and execute protection target parameter configuration of the forest protection model according to the forest ecological value evaluation distribution to generate the forest protection demand; perform degradation feature identification on the forest restoration model to obtain forest degradation feature identification results, and execute restoration target parameter configuration of the forest restoration model according to the forest degradation feature identification results to obtain the forest restoration demand.

[0076] Furthermore, the optimization analysis module 15 in the forest land utilization optimization system combined with the terrain surveying and mapping equipment is also used for: The forest land utilization ternary optimization channel includes a forest land development optimization channel, a forest land protection optimization channel and a forest land restoration optimization channel; according to the forest land development optimization channel, the forest land development decision space is optimized and analyzed to determine the forest land development optimization strategy; according to the forest land protection optimization channel, the forest land protection decision space is optimized and analyzed to obtain the forest land protection optimization strategy; according to the forest land restoration optimization channel, the forest land restoration decision space is optimized and analyzed to generate the forest land restoration optimization strategy; the forest land development optimization strategy, the forest land protection optimization strategy and the forest land restoration optimization strategy are output as the forest land utilization ternary optimization strategy.

[0077] Furthermore, the optimization analysis module 15 in the forest land utilization optimization system combined with the terrain surveying and mapping equipment is also used for: The forest development optimization channel includes a forest development loss prediction model and a forest development resource utilization prediction model; based on the forest development resource utilization prediction model, the forest development decision space is initially optimized to obtain a forest development decision optimization space that meets a predetermined forest development resource utilization rate; based on the forest development loss prediction model, the forest development decision optimization space is optimized to minimize forest development losses to generate the forest development optimization strategy.

[0078] Furthermore, the optimization analysis module 15 in the forest land utilization optimization system combined with the terrain surveying and mapping equipment is also used for: The forest protection optimization channel includes a forest protection improvement degree prediction model, a forest protection efficiency prediction model and a forest protection fitness calculation model, wherein the forest protection fitness calculation model includes a protection improvement degree predetermined weight and a protection efficiency predetermined weight; setting expected forest protection conditions, wherein the expected forest protection conditions include a protection improvement degree constraint and a protection efficiency constraint; based on the forest protection improvement degree prediction model and the forest protection efficiency prediction model, optimizing the forest protection decision space according to the expected forest protection conditions to obtain the forest protection decision optimization space; optimizing the forest protection fitness maximization of the forest protection decision optimization space according to the forest protection fitness calculation model to generate the forest protection optimization strategy.

[0079] Furthermore, the optimization analysis module 15 in the forest land utilization optimization system combined with the terrain surveying and mapping equipment is also used for: The forest restoration optimization channel includes a forest restoration quality prediction model, a forest restoration efficiency prediction model and a forest restoration fitness calculation model, wherein the forest restoration fitness calculation model includes a predetermined weight for restoration quality and a predetermined weight for restoration efficiency; setting expected conditions for forest restoration, wherein the expected conditions for forest restoration include restoration quality constraints and restoration efficiency constraints; based on the forest restoration quality prediction model and the forest restoration efficiency prediction model, optimizing the forest restoration decision space according to the expected conditions for forest restoration to obtain the forest restoration decision optimization space; optimizing the forest restoration fitness of the forest restoration decision optimization space to the maximum according to the forest restoration fitness calculation model to generate the forest restoration optimization strategy.

[0080] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. Figure 1The forest land utilization optimization method combined with topographic surveying and mapping equipment and the specific examples in the first embodiment are also applicable to the forest land utilization optimization system combined with topographic surveying and mapping equipment in this embodiment. Through the above detailed description of the forest land utilization optimization method combined with topographic surveying and mapping equipment, those skilled in the art can clearly know the forest land utilization optimization system combined with topographic surveying and mapping equipment in this embodiment, so for the sake of brevity of the specification, it will not be described in detail here. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part description.

[0081] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

[0082] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application belong to the scope of the present application and its equivalent technology, the present application is also intended to include these modifications and variations.

Claims

1. A method for optimizing forest land utilization in combination with topographic surveying and mapping equipment, characterized in that: include: According to the topographic surveying and mapping equipment, a topographic surveying and mapping data stream of the forest land is obtained; Based on the terrain surveying and mapping data stream, a model is built in combination with the remote sensing image data stream and the environment data stream of the forest land to obtain a visual model of the forest land; Dividing the forest land visual model to obtain a forest land development model, a forest land protection model and a forest land restoration model; Make forest land utilization decisions based on the forest land development model, the forest land protection model and the forest land restoration model, and build a ternary decision space for forest land utilization; According to the ternary optimization channel of forest land utilization, the ternary decision space of forest land utilization is optimized and analyzed to generate a ternary optimization strategy for forest land utilization; Based on the forest development model, the forest protection model and the forest restoration model, forest utilization optimization is performed according to the forest utilization ternary optimization strategy.

2. The method for optimizing forest land utilization in combination with topographic surveying and mapping equipment according to claim 1, characterized in that: According to the forest land development model, the forest land protection model and the forest land restoration model, forest land utilization decision is made to build a ternary decision space for forest land utilization, including: Performing demand analysis according to the forest land development model, the forest land protection model and the forest land restoration model to determine forest land development demand, forest land protection demand and forest land restoration demand; According to the forest land development demand, the forest land development model is used to make a forest land development decision, so as to obtain a forest land development decision space that meets the predetermined decision capacity; According to the forest protection demand, the forest protection model makes a forest protection decision to obtain a forest protection decision space that meets the predetermined decision capacity; Performing forest restoration decision on the forest restoration model according to the forest restoration demand, and obtaining a forest restoration decision space that meets the predetermined decision capacity; The forest land development decision space, the forest land protection decision space and the forest land restoration decision space are integrated to generate the forest land utilization ternary decision space.

3. The method for optimizing forest land utilization in combination with topographic surveying and mapping equipment according to claim 2, characterized in that: Demand analysis is performed based on the forest land development model, the forest land protection model and the forest land restoration model to determine forest land development needs, forest land protection needs and forest land restoration needs, including: Performing a development potential evaluation on the forest land development model to obtain a forest land development potential evaluation distribution, and executing a development target parameter configuration of the forest land development model according to the forest land development potential evaluation distribution to obtain the forest land development demand; Performing an ecological value assessment on the forest protection model to obtain a distribution of the forest ecological value assessment, and configuring protection target parameters of the forest protection model according to the distribution of the forest ecological value assessment to generate the forest protection demand; Degradation characteristics of the forest restoration model are identified to obtain forest degradation characteristic identification results, and restoration target parameters of the forest restoration model are configured according to the forest degradation characteristic identification results to obtain the forest restoration requirements.

4. The method for optimizing forest land utilization in combination with topographic surveying and mapping equipment according to claim 2, characterized in that: According to the ternary optimization channel of forest land utilization, the ternary decision space of forest land utilization is optimized and analyzed to generate a ternary optimization strategy for forest land utilization, including: The three-way optimization channel for forest land utilization includes a forest land development optimization channel, a forest land protection optimization channel and a forest land restoration optimization channel; Performing optimization analysis on the forest land development decision space according to the forest land development optimization channel to determine the forest land development optimization strategy; Performing optimization analysis on the forest protection decision space according to the forest protection optimization channel to obtain a forest protection optimization strategy; Performing optimization analysis on the forest restoration decision space according to the forest restoration optimization channel to generate a forest restoration optimization strategy; The forest land development optimization strategy, the forest land protection optimization strategy and the forest land restoration optimization strategy are output as the forest land utilization ternary optimization strategy.

5. The method for optimizing forest land utilization in combination with topographic surveying and mapping equipment according to claim 4, characterized in that: According to the forest land development optimization channel, the forest land development decision space is optimized and analyzed to determine the forest land development optimization strategy, including: The forest land development optimization channel includes a forest land development loss prediction model and a forest land development resource utilization rate prediction model; According to the forest land development resource utilization rate prediction model, the forest land development decision space is initially optimized to obtain a forest land development decision optimization space that meets the predetermined forest land development resource utilization rate; The forest development loss prediction model is used to minimize the forest development loss in the forest development decision optimization space to generate the forest development optimization strategy.

6. The method for optimizing forest land utilization in combination with topographic surveying and mapping equipment according to claim 4, characterized in that: The forest protection decision space is optimized and analyzed according to the forest protection optimization channel to obtain a forest protection optimization strategy, including: The forest protection optimization channel includes a forest protection improvement prediction model, a forest protection efficiency prediction model and a forest protection fitness calculation model, wherein the forest protection fitness calculation model includes a protection improvement degree predetermined weight and a protection efficiency predetermined weight; Setting expected conditions for forest protection, wherein the expected conditions for forest protection include protection improvement degree constraints and protection efficiency constraints; Based on the forest protection improvement prediction model and the forest protection efficiency prediction model, optimizing the forest protection decision space according to the expected conditions for forest protection to obtain the forest protection decision optimization space; The forest protection fitness calculation model is used to maximize the forest protection fitness of the forest protection decision optimization space to generate the forest protection optimization strategy.

7. The method for optimizing forest land utilization in combination with topographic surveying and mapping equipment according to claim 4, characterized in that: The forest restoration decision space is optimized and analyzed according to the forest restoration optimization channel to generate a forest restoration optimization strategy, including: The forest restoration optimization channel includes a forest restoration quality prediction model, a forest restoration efficiency prediction model and a forest restoration fitness calculation model, wherein the forest restoration fitness calculation model includes a restoration quality predetermined weight and a restoration efficiency predetermined weight; Setting expected conditions for forest restoration, wherein the expected conditions for forest restoration include restoration quality constraints and restoration efficiency constraints; Based on the forest restoration quality prediction model and the forest restoration efficiency prediction model, optimizing the forest restoration decision space according to the expected conditions for forest restoration, and obtaining the forest restoration decision optimization space; The forest restoration fitness calculation model is used to maximize the forest restoration fitness of the forest restoration decision optimization space to generate the forest restoration optimization strategy.

8. A forest land utilization optimization system combined with topographic surveying equipment, characterized in that: Steps for implementing the forest land utilization optimization method combined with topographic mapping equipment as described in any one of claims 1 to 7, the forest land utilization optimization system combined with topographic mapping equipment comprises: A data stream acquisition module, the data stream acquisition module is used to obtain a topographic surveying and mapping data stream of the forest land according to the topographic surveying and mapping equipment; A visual model building module, the visual model building module is used to build a model based on the terrain surveying and mapping data stream, combined with the remote sensing image data stream and the environmental data stream of the forest land, to obtain a visual model of the forest land; A model division module, wherein the model division module is used to divide the forest visual model to obtain a forest development model, a forest protection model and a forest restoration model; A decision space building module, wherein the decision space building module is used to make forest land utilization decisions based on the forest land development model, the forest land protection model and the forest land restoration model, and to build a ternary decision space for forest land utilization; An optimization analysis module, the optimization analysis module is used to perform optimization analysis on the ternary decision space of forest land utilization according to the ternary optimization channel of forest land utilization, and generate a ternary optimization strategy for forest land utilization; An optimization strategy execution module is used to perform forest land utilization optimization according to the forest land utilization ternary optimization strategy based on the forest land development model, the forest land protection model and the forest land restoration model.

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