A nature reserve resource three-dimensional right confirmation method, system and device

Abstract

The application discloses a nature reserve resource three-dimensional right confirmation method, system and equipment, and relates to the technical field of natural resource right confirmation.The application firstly acquires the coordinate point set of each ancient tree in the protection area, then carries out density checking in the protection area, so that the gathering degree and distribution law of the ancient trees in the protection area in space are determined.Meanwhile, the ancient tree environment influence weighted graph is constructed, so that the influence of factors such as the terrain fluctuation between the ancient trees, the ecological connection strength between the trees and the main barriers and the like is comprehensively considered, and the boundary of the right confirmation community candidate area is further optimized.Then, the right confirmation community area of the nature reserve resource is determined, and the ancient tree resource right confirmation graph of the protection area is made, which provides strong support for the effective protection and management of the nature reserve resource, that is, the difficulty in right confirmation of the natural ancient tree famous tree resource and the low precision in the prior art are effectively solved.

Description

Technical Field

[0001] This invention relates to the field of natural resource ownership confirmation technology, and in particular to a method, system and equipment for three-dimensional ownership confirmation of resources in nature reserves. Background Technology

[0002] With increasing emphasis on natural resource management and protection, accurate ownership confirmation of resources in nature reserves is fundamental to effective protection and management. Traditional ownership confirmation methods often rely on two-dimensional data, which struggles to comprehensively and accurately reflect the spatial distribution and ownership status of resources within nature reserves. This is particularly true for the ownership confirmation of ancient and famous trees within nature reserves. Ancient and famous trees are important natural, historical, and cultural heritages with extremely high ecological, landscape, scientific, and cultural value. Current regulations in China, such as the "Measures for the Protection and Management of Ancient and Famous Trees," require accurate registration and ownership confirmation of ancient trees, but existing registration methods suffer from the following problems: 1. Traditional registration often focuses on individual ancient trees, neglecting the spatial distribution patterns and ecological integrity of ancient trees, resulting in fragmented protection units and making it difficult to effectively implement community-level management and protection, which in turn makes it difficult to confirm the rights of ancient and famous trees. 2. The registration boundaries are mostly drawn manually or with simple circular / rectangular buffers, failing to fully consider the impact of topographic relief, the strength of ecological connections between trees, and major barriers (such as roads and valleys). The scientific nature of the boundaries is insufficient, resulting in low accuracy in confirming the rights to ancient and famous trees. Summary of the Invention

[0003] The purpose of this invention is to address the shortcomings of existing technologies, such as the difficulty and low accuracy in confirming the ownership of natural ancient and famous trees, and to propose a method, system, and equipment for three-dimensional ownership confirmation of resources in nature reserves.

[0004] To achieve the above objectives, the present invention adopts the following technical solution: In its first aspect, this invention provides a method for three-dimensional rights confirmation of resources in nature reserves, comprising: The root center coordinates of each ancient tree in the protected area are located to obtain the set of coordinate points of the ancient trees in the protected area. Based on the set of coordinate points of ancient trees in the protected area, determine the density distribution information of ancient trees in the protected area; Based on the ancient tree density distribution information and the ancient tree coordinate point set in the protected area, candidate areas for property rights confirmation communities are determined. Collect environmental geographic information of the protected area, and construct a weighted map of the environmental impact of ancient trees based on the coordinate point set of ancient trees in the protected area; Based on the ancient tree density distribution information and the ancient tree coordinate point set in the protected area, the minimum value of the weighted map of the environmental impact of ancient trees is calculated to obtain the map of the minimum environmental impact of ancient trees. Based on the minimum environmental impact map of ancient trees and the candidate areas for the confirmation of ownership of tree communities, the areas of ownership confirmation of resources in nature reserves were determined. Based on the collected environmental geographic information of the protected area and the confirmed ownership community area of ​​the nature reserve resources, a ownership map of ancient tree resources in the protected area was created.

[0005] In one feasible approach, the method for determining the density distribution information of ancient trees in the protected area includes: Formula 1; In Equation 1, In order to be in The kernel density estimate at the location; The total number of samples from ancient tree sites. For bandwidth, for Location and the The square of the horizontal Euclidean distance between the ancient trees. Calculated using a Gaussian kernel. This is the normalization constant.

[0006] In one feasible approach, the method for obtaining the minimum environmental impact map of ancient trees includes: Based on the set of coordinate points of ancient trees in the protected area, each ancient tree in the set of coordinate points is regarded as a vertex; Based on the apex of each ancient tree and combined with the environmental geographic information of the protected area, the environmental connection cost between the apex of each ancient tree is determined. Based on the ancient tree density distribution information and the ancient tree coordinate point set in the protected area, the environmental connection cost between each ancient tree vertex is optimized to obtain the minimum value map of the environmental impact of ancient trees.

[0007] In one feasible approach, the method for minimizing the environmental connectivity cost between ancient tree vertices includes: Formula 2; In Equation 2, for Point and The cost of connecting points for Point and Horizontal projection distance of the point for The elevation value of the center of the root of the ancient tree. for The elevation value of the center of the root of the ancient tree. This is the elevation difference penalty coefficient. The penalty coefficient for crossing major roads, The penalty coefficient for crossing linear barriers such as valleys / streams. for Point and The penalty factor for connecting points that crosses a main road. for Point and The penalty factor for connecting points across linear barriers such as valleys / streams.

[0008] One feasible solution also includes: Based on the environmental geographic information of the protected area and the coordinate point set of ancient trees in the protected area, the minimum environmental impact map of ancient trees is optimized by pruning and connectivity to obtain multiple connected components, and the compactness index is calculated for each connected component. Based on the compactness index of each connected component, screening and division are carried out in the resource ownership community area of ​​the nature reserve to obtain at least one candidate registration unit. Based on the environmental geographic information of the protected area, a three-dimensional boundary polygon is generated for each candidate registration unit, and a dynamic outer buffer is applied to the three-dimensional boundary polygon generated for each candidate registration unit.

[0009] In one feasible approach, the method for calculating the compactness index for each connected component includes: Formula 3; In Equation 3, For connected components The firmness; For connected components The number of ancient trees in the area For connected components The three-dimensional convex hull projection area, Let be the perimeter of the convex hull. This is the shape factor.

[0010] In one feasible approach, the method of generating a three-dimensional boundary polygon for each candidate registration unit and applying a dynamic outer buffer includes: Equation 4; In Equation 4, For the buffer radius, As the reference buffer radius, The coefficient representing the influence of spacing between ancient trees. The average plant spacing This is the slope influence coefficient. The average slope angle is denoted as .

[0011] In a second aspect, the present invention also provides a three-dimensional resource ownership confirmation system for nature reserves, employing the three-dimensional resource ownership confirmation method for nature reserves described in any one of the first aspects above, wherein the ownership confirmation system further includes: The data acquisition module is used to collect environmental geographic information of the protected area and related data on ancient trees; A coordinate positioning module is used to locate the center coordinates of the roots of each ancient tree in the protected area. A density calculation module, used to analyze the density of ancient trees within a region; A chart construction module is used to construct a weighted chart of the environmental impact of ancient trees. The region determination module is used to comprehensively analyze and determine the region of the nature reserve's resource ownership community based on the minimum environmental impact map of ancient trees and the candidate areas for ownership confirmation communities, and to clarify the scope of resources that need to be confirmed.

[0012] In a third aspect, the present invention provides a three-dimensional resource ownership confirmation device for nature reserves, the device comprising: a processor, a memory, and a data acquisition device; The data acquisition device is connected to the processor and is used to collect environmental geographic information of the protected area and related data of ancient trees, and transmit the collected data to the processor. The memory is connected to the processor and is used to store intermediate data generated during the processor's data processing and the final determination result data; The processor is used to execute a method for three-dimensional ownership of resources in a nature reserve as described in any one of the first aspects.

[0013] The beneficial effects of this invention are as follows: This invention first obtains the coordinate point set of each ancient tree in the protected area, and then performs density verification within the protected area to determine the spatial aggregation degree and distribution pattern of ancient trees. Simultaneously, it constructs a weighted map of the environmental impact of ancient trees to comprehensively consider the influence of factors such as topographic relief between ancient trees, the strength of ecological connections between trees, and major barriers, further optimizing the boundaries of candidate areas for ownership confirmation communities. Then, it determines the ownership confirmation community areas of the nature reserve resources and produces an ownership confirmation map of ancient tree resources in the protected area, providing strong support for the effective protection and management of nature reserve resources. In other words, it effectively solves the shortcomings of existing technologies, such as the high difficulty and low accuracy in confirming ownership of natural ancient and famous trees. Attached Figure Description

[0014] Figure 1 This is a schematic diagram of the overall process of a three-dimensional resource ownership confirmation method for nature reserves provided in an embodiment of the present invention; Figure 2 This is a partial flowchart illustrating a method for three-dimensional resource ownership confirmation in nature reserves, as provided in an embodiment of the present invention. Figure 3This is a schematic diagram illustrating the environmental connection cost between the vertices of ancient trees in a three-dimensional resource ownership confirmation method for nature reserves provided in an embodiment of the present invention. Figure 4 This is a schematic diagram of the candidate registration unit constraints in a three-dimensional resource ownership confirmation method for nature reserves provided in an embodiment of the present invention. Detailed Implementation

[0015] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0016] It should be noted that all directional indications (such as up, down, left, right, front, back, etc.) in the embodiments of the present invention are only used to explain the relative positional relationship and movement of each component in a certain specific posture (as shown in the figure). If the specific posture changes, the directional indication will also change accordingly.

[0017] In this invention, unless otherwise explicitly specified and limited, the terms "connection," "fixed," etc., should be interpreted broadly. For example, "fixed" can mean a fixed connection, a detachable connection, or an integral part; it can mean a mechanical connection or an electrical connection; it can mean a direct connection or an indirect connection through an intermediate medium; it can mean the internal communication of two components or the interaction between two components, unless otherwise explicitly limited. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0018] Furthermore, if the embodiments of this invention involve descriptions such as "first" or "second," these descriptions are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined with "first" or "second" may explicitly or implicitly include at least one of those features. Additionally, the meaning of "and / or" throughout the text includes three parallel solutions; for example, "A and / or B" includes solution A, solution B, or a solution where both A and B are satisfied simultaneously. Furthermore, the technical solutions of the various embodiments can be combined with each other, but this must be based on the ability of those skilled in the art to implement them. When the combination of technical solutions is contradictory or impossible to implement, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection claimed by this invention.

[0019] Reference Figures 1 to 4As shown, in this embodiment of the invention, to address the shortcomings of existing technologies in determining the ownership of ancient and famous trees, which suffers from high difficulty and low accuracy, a three-dimensional ownership determination method for nature reserves is provided. This method first locates the root center coordinates of each ancient tree within the protected area, forming a set of ancient tree coordinate points. Then, using the Gaussian kernel density estimation method, the density distribution information of ancient trees within the protected area is calculated based on the ancient tree coordinate point set, thereby determining the spatial aggregation degree and distribution pattern of ancient trees within the protected area. Simultaneously, a weighted map of the environmental impact of ancient trees is constructed to comprehensively consider the influence of factors such as topographic relief between ancient trees, the strength of ecological connections between trees, and major barriers, further optimizing the boundaries of candidate ownership communities. Finally, based on the minimum environmental impact map of ancient trees and the candidate ownership communities, the ownership community area of ​​the nature reserve is determined, and an ancient tree ownership map of the protected area is created, providing strong support for the effective protection and management of nature reserve resources. This effectively solves the shortcomings of existing technologies in determining the ownership of ancient and famous trees, which suffer from high difficulty and low accuracy.

[0020] Specifically, a three-dimensional resource ownership confirmation method for nature reserves includes: locating the root center coordinates of each ancient tree in the protected area using one or more methods such as high-precision GNSSRTK, SLAM laser point cloud, or airborne / backpack LiDAR measurement to obtain a set of ancient tree coordinate points; then, determining the ancient tree density distribution information in the protected area using density verification based on the ancient tree coordinate point set; subsequently, determining candidate areas for ownership confirmation communities based on the ancient tree density distribution information and the ancient tree coordinate point set; simultaneously, collecting environmental geographic information of the protected area, and then constructing a weighted map of the environmental impact of ancient trees based on the ancient tree coordinate point set; that is, using each ancient tree in the ancient tree coordinate point set as a vertex, and then combining the collected environmental geographic information of the protected area to construct a weighted undirected graph with environmental connectivity costs as edge weights, wherein the environmental connectivity costs need to comprehensively consider horizontal projection distance, elevation difference penalty, and additional costs for crossing major barriers (such as main roads and valleys). Then, based on the ancient tree density distribution information and the coordinate point set of ancient trees in the protected area, the minimum value of the environmental impact weighted map of ancient trees can be calculated to obtain the minimum environmental impact map of ancient trees. Subsequently, based on the minimum environmental impact map of ancient trees and the candidate areas for ownership confirmation communities, the ownership confirmation community areas of nature reserve resources can be determined. Then, based on the collected environmental geographic information of the protected area and the determined ownership confirmation community areas of nature reserve resources, professional Geographic Information System (GIS) software can be used to accurately create an ownership confirmation map of ancient tree resources in the protected area. During the map creation process, it is necessary to ensure that the map clearly shows the boundaries of each ownership confirmation community area, the distribution of ancient trees, and the relationship with environmental geographic information. At the same time, to improve the practicality and readability of the map, it can also be layered, displaying different types of information (such as ancient tree locations, ownership confirmation area boundaries, topography, etc.) on different layers, making it convenient for users to view and analyze according to their actual needs. It should be noted that, to ensure the accuracy of rights confirmation, a detailed classification and assessment of natural resources within the rights confirmation area should be conducted to clarify the quantity, quality, and distribution of each type of resource. Then, by combining the boundaries of the rights confirmation area and the classification and assessment results of the internal natural resources, a three-dimensional rights confirmation of the nature reserve's resources can be completed, generating a corresponding three-dimensional rights confirmation map and report. Additionally, accurate recording of basic information such as tree species, age, height, and diameter at breast height (DBH) for each ancient tree is necessary, along with an assessment of the ancient trees' health status, such as the presence of pests and diseases and their growth vigor.

[0021] In this embodiment, to facilitate understanding of how to determine the density distribution information of ancient trees in a protected area, the following description is provided. Specifically, the method for determining the density distribution information of ancient trees in a protected area includes: Formula 1; In Equation 1, In order to be in The kernel density estimate at the location; a larger value indicates a more concentrated concentration of ancient trees. The total number of samples from ancient tree sites. For bandwidth, for Location and the The square of the horizontal Euclidean distance between the ancient trees. Calculated using a Gaussian kernel. This is a normalization constant. In this embodiment, by using a Gaussian kernel to calculate the density of ancient tree coordinate points within the protected area, the density distribution information of ancient trees within the protected area can be accurately obtained. That is, using the Gaussian kernel density estimation method shown in Equation 1, the protected area can be divided into numerous small regions, and for each point in a small region... By calculating the square of the horizontal Euclidean distance between the point and each ancient tree location, and combining this with Gaussian kernel calculations and normalization constants, the kernel density estimate at that point is obtained. By performing this calculation on all small areas within the entire protected area, a map of the ancient tree density distribution within the protected area can be drawn. The map clearly shows the concentration and distribution patterns of ancient trees within the protected area, providing crucial evidence for subsequently determining candidate areas for tree ownership confirmation.

[0022] Reference Figure 3In this embodiment, to facilitate the management of ancient tree resources within the protected area, the method for obtaining the minimum environmental impact map of ancient trees includes: considering each ancient tree in the set of ancient tree coordinate points within the protected area as a vertex; then, based on each ancient tree vertex and combined with the environmental geographic information of the protected area, determining the environmental connection cost between each ancient tree vertex; subsequently, based on the ancient tree density distribution information and the ancient tree coordinate point set of the protected area, optimizing the environmental connection cost between each ancient tree vertex to obtain the minimum environmental impact map of ancient trees. That is, in this embodiment, each ancient tree in the set of ancient tree coordinate points within the protected area can be considered a vertex, and then a comprehensive and detailed collection of environmental geographic information (such as horizontal projection distance, elevation difference, and the distribution of major obstacles (such as main roads and valleys)) of the protected area is conducted using data acquisition instruments. Then, a weighted undirected graph is constructed using the environmental connection cost as the edge weight. It should be noted that multiple factors need to be considered when determining environmental connectivity costs. For horizontal projection distance, the greater the distance, the higher the environmental connectivity cost. Elevation difference also affects the cost; the greater the elevation difference, the higher the cost. When there are cases involving crossing major barriers, additional costs need to be added to accurately reflect the degree of environmental impact between ancient trees. In this way, a scientifically sound and reasonable weighted map of the environmental impact of ancient trees can be constructed. This map provides an important data foundation and analytical basis for subsequently determining the ownership communities of resources in nature reserves, and helps to more accurately complete the three-dimensional ownership confirmation of resources in nature reserves. Specifically, the method for minimizing the environmental connectivity costs between the vertices of each ancient tree includes: Formula 2; In Equation 2, for Point and The cost of connecting points for Point and Horizontal projection distance of the point for The elevation value of the center of the root of the ancient tree. for The elevation value of the center of the root of the ancient tree. This is the elevation difference penalty coefficient. The penalty coefficient for crossing major roads, The penalty coefficient for crossing linear barriers such as valleys / streams. for Point and The penalty factor for connecting points that crosses a main road. for Point and The penalty factor for connecting points across linear barriers such as valleys / streams. In this embodiment, the environmental connection cost between the vertices of each ancient tree is accurately calculated using Equation 2 above. The equation considers in detail the impact of factors such as horizontal projection distance, elevation difference, and crossing major barriers on the environmental connection cost. The horizontal projection distance reflects the relative position of the ancient trees on the plane; the greater the distance, the longer the environmental path between the ancient trees, and the higher the environmental connection cost. The existence of elevation differences hinders environmental communication between ancient trees; the greater the elevation difference, the more pronounced this hindering effect, and the higher the cost. This impact is quantified by setting an elevation difference penalty coefficient α. When the connection between ancient trees crosses a major road, the road, as an important area for human activity, will have an isolation effect on the environment between the ancient trees, increasing the environmental connection cost. The penalty coefficient β for crossing major roads is used to measure the strength of this isolation effect. Similarly, crossing linear barriers such as valleys and streams will also affect the environmental connection between ancient trees, which is reflected by the penalty coefficient γ for crossing linear barriers such as valleys / streams and the corresponding penalty factor. By comprehensively considering and precisely calculating these factors, a scientifically reasonable environmental connection cost between the vertices of each ancient tree can be obtained. Then, a minimum value optimization algorithm is used to process these environmental connection costs, thereby obtaining a map showing the minimum environmental impact of ancient trees. This map visually displays the areas within the protected area where ancient trees are least affected by the environment, providing crucial evidence for subsequently determining the ownership communities of resources in nature reserves, and contributing to improving the accuracy and scientific rigor of three-dimensional ownership confirmation of resources in nature reserves.

[0023] Reference Figure 4In this embodiment, to further refine the rights confirmation process for ancient tree resources in the protected area, the rights confirmation method further includes: performing pruning connectivity optimization on the minimum environmental impact map of ancient trees based on the environmental geographic information and the coordinate point set of ancient trees in the protected area, obtaining multiple connected components, and calculating a compactness index for each connected component; then, selecting connected components that meet the requirements as candidates for rights confirmation community areas based on the compactness index, that is, screening and dividing the rights confirmation community areas of nature reserve resources according to the compactness index of each connected component, obtaining at least one candidate registration unit, and then combining the ancient tree density distribution information of the protected area to determine the final rights confirmation community area of ​​nature reserve resources. In other words, in this embodiment, the pruning connectivity optimization process can remove edges with weak connection strength and small impact on overall connectivity in the minimum environmental impact map of ancient trees, thereby obtaining multiple relatively independent connected components. Simultaneously, the compactness index calculation comprehensively considers factors such as the distribution density, spatial range, and shape characteristics of ancient trees within connected components. By setting a reasonable compactness threshold, connected components with relatively concentrated ancient tree distribution, moderate spatial range, and relatively regular shapes can be selected as candidate areas for property rights confirmation. This further improves the precision of three-dimensional property rights confirmation for nature reserves, ensuring the accuracy and rationality of the confirmation results. Specifically, the method for calculating the compactness index for each connected component includes: Formula 3; In Equation 3, For connected components The compactness score measures the spatial aggregation and compactness of the community (registration unit candidate); the higher the score, the more compact the community. For connected components The number of ancient trees in the area For connected components The three-dimensional convex hull projection area, Let be the perimeter of the convex hull. The shape factor is calculated in this embodiment by taking into account the number of ancient trees, the projected area of ​​the three-dimensional convex hull, and the perimeter of the convex hull within each connected component. This effectively quantifies the spatial aggregation and compactness of the community. By calculating the compactness index of each connected component, the distribution of ancient tree communities in different areas can be more objectively assessed, thus helping to determine more reasonable and effective community areas for resource ownership confirmation in nature reserves.

[0024] In one feasible solution, the rights confirmation method further includes: generating a three-dimensional boundary polygon for each candidate registration unit based on the environmental geographic information of the protected area, and applying a dynamic outer buffer to the generated three-dimensional boundary polygon of each candidate registration unit. Specifically, to facilitate understanding of how the dynamic outer buffer is applied, the method for generating the three-dimensional boundary polygon of each candidate registration unit and applying the dynamic outer buffer includes: Equation 4; In Equation 4, For the buffer radius, As the reference buffer radius, The coefficient representing the influence of spacing between ancient trees. The average plant spacing This is the slope influence coefficient. The average slope angle is used. The required buffer radius for each candidate registration unit can then be calculated using Equation 4, thereby generating a matching dynamic outer buffer zone. By setting a dynamic outer buffer zone, factors such as the spacing between ancient trees and the terrain slope can be fully considered, allowing for a more scientific definition of the influence range of candidate registration units and avoiding inaccurate resource ownership due to unreasonable fixed buffer zone settings. In practical applications, dynamically adjusting the buffer radius can better adapt to the complex and diverse topography and ancient tree distribution characteristics of nature reserves, improving the accuracy and rationality of three-dimensional resource ownership confirmation and providing more reliable technical support for resource management and protection in nature reserves. Furthermore, it should be noted that after obtaining at least one candidate registration unit, generating a three-dimensional boundary polygon, and applying a dynamic outer buffer zone, detailed labeling of resource type and ownership can be added to each candidate registration unit. By integrating historical ownership data, relevant laws and regulations, and on-site verification information of the protected area, the specific types of natural resources within each candidate registration unit, such as the size and category of ancient trees, can be clarified, ensuring the refinement of ancient tree resource ownership confirmation.

[0025] In a second aspect, this invention also provides a three-dimensional rights confirmation system for nature reserve resources, employing the three-dimensional rights confirmation method for nature reserve resources described in any one of the first aspects above. The system further includes: a data acquisition module, a coordinate positioning module, a density calculation module, a chart construction module, and a region determination module. The data acquisition module is used to collect environmental geographic information of the protected area and relevant data on ancient trees; the coordinate positioning module is used to locate the root center coordinates of each ancient tree in the protected area; the density calculation module is used to analyze the density of ancient tree distribution within the area; the chart construction module is used to construct a weighted map of the environmental impact of ancient trees; and the region determination module is used to comprehensively analyze and determine the rights confirmation community area of ​​nature reserve resources based on the minimum environmental impact map of ancient trees and candidate areas for rights confirmation communities, thus clarifying the scope of resources requiring rights confirmation. Furthermore, to facilitate the visualization of the rights confirmation results, the system also includes a map production module. This module can produce a rights confirmation map of ancient tree resources in the protected area based on the collected environmental geographic information of the protected area and the determined rights confirmation community area of ​​the nature reserve resources, presenting the rights confirmation results in a visual manner for convenient management and review. In addition, to facilitate more refined rights confirmation for ancient tree resources, the rights confirmation system also includes an optimization processing module, a labeling generation module, and a database management module. The optimization processing module, based on the environmental geographic information of the protected area and the coordinate point set of ancient trees within the protected area, performs pruning and connectivity optimization on the minimum environmental impact map of ancient trees, obtaining multiple connected components. It then calculates a compactness index for each connected component and, based on the compactness index of each connected component, filters and divides the rights confirmation community area of ​​the nature reserve resources, obtaining at least one candidate registration unit, providing a foundation for subsequent detailed labeling and database establishment. The labeling generation module, based on the environmental geographic information of the protected area, generates a three-dimensional boundary polygon for each candidate registration unit and applies a dynamic outer buffer to the generated three-dimensional boundary polygon for each candidate registration unit. Simultaneously, it provides detailed labeling of the resource type and ownership for each candidate registration unit, clarifying the specific type and ownership of the natural resources within each candidate registration unit. The database management module is used to establish a comprehensive three-dimensional natural resource ownership database. It digitally stores and manages the spatial location information, resource type information, ownership information, and related environmental geographic information of each candidate registration unit, realizing centralized management and efficient utilization of data, and providing solid data support and decision-making basis for the resource protection, rational utilization, and scientific management of nature reserves.

[0026] In some implementations, the rights confirmation system can communicate using any currently known or future-developed network protocol such as HTTP (Hypertext Transfer Protocol) and can interconnect with digital data communication (e.g., communication networks) of any form or medium. Examples of communication networks include local area networks (“LANs”), wide area networks (“WANs”), the Internet (e.g., the Internet of Things), and end-to-end networks (e.g., ad hoc end-to-end networks), as well as any currently known or future-developed networks.

[0027] The functions described above in this document can be performed at least in part by one or more hardware logic components. For example, exemplary types of hardware logic components that can be used, without limitation, include: field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), system-on-a-chip (SoCs), complex programmable logic devices (CPLDs), etc.

[0028] The third aspect of the present invention provides a three-dimensional rights confirmation device for nature reserve resources. The rights confirmation device includes a processor, a memory, and a data acquisition device. The data acquisition device is connected to the processor and is used to collect environmental geographic information of the protected area and related data of ancient trees, and to transmit the collected data to the processor. The memory is connected to the processor and is used to store intermediate data generated during the data processing process of the processor and the final rights confirmation result data. The processor is used to execute a three-dimensional rights confirmation method for nature reserve resources as described in any one of the first aspects. The aforementioned rights confirmation device processes the data collected by the data acquisition device, including locating the root center coordinates of ancient trees, calculating the density distribution information of ancient trees, constructing a weighted map of the environmental impact of ancient trees, obtaining a map of the minimum environmental impact of ancient trees, determining the rights confirmation community area of ​​nature reserve resources, creating a rights confirmation map of ancient tree resources in the protected area, pruning and connecting the map of the minimum environmental impact of ancient trees, screening and dividing to obtain candidate registration units, generating three-dimensional boundary polygons and applying dynamic outer buffers, performing detailed annotation of resource types and ownership, and establishing a three-dimensional rights confirmation database of natural resources. Finally, the rights confirmation results are stored in the memory, and the data in the memory can be called and displayed as needed to realize the three-dimensional rights confirmation management of nature reserve resources.

[0029] A fourth aspect of this invention provides a computer-readable medium having a computer program stored thereon, wherein the program, when executed by a processor, implements a method for three-dimensional resource registration in a nature reserve as described in any one of the first aspects. The computer-readable medium in this embodiment can be written in one or more programming languages ​​or a combination thereof to perform computer program code for carrying out operations of some embodiments of this disclosure. These programming languages ​​include object-oriented programming languages—such as Java, Smalltalk, and C++—and conventional procedural programming languages—such as the "C" language or similar programming languages. The program code can be executed entirely on a user's computer, partially on a user's computer, as a standalone software package, partially on a user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0030] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this disclosure. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0031] In particular, according to some embodiments of this disclosure, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, some embodiments of this disclosure include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts.

[0032] The fifth aspect of the present invention provides a computer program product, including a computer program that, when executed by a processor, implements a method for three-dimensional rights confirmation of resources in nature reserves as described in the first aspect.

[0033] The above description is merely a selection of preferred embodiments of this disclosure and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of the invention involved in the embodiments of this disclosure is not limited to technical solutions formed by specific combinations of the above-described technical features, but should also cover other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the above-described inventive concept. For example, technical solutions formed by substituting the above-described features with (but not limited to) technical features with similar functions disclosed in the embodiments of this disclosure.

Claims

1. A method for three-dimensional ownership confirmation of resources in nature reserves, characterized in that, include: The root center coordinates of each ancient tree in the protected area are located to obtain the set of coordinate points of the ancient trees in the protected area. Based on the coordinate point set of ancient trees in the protected area, the density distribution information of ancient trees in the protected area is determined; Based on the ancient tree density distribution information and the ancient tree coordinate point set in the protected area, candidate areas for property rights confirmation communities are determined. Collect environmental geographic information of the protected area, and construct a weighted map of the environmental impact of ancient trees based on the coordinate point set of ancient trees in the protected area; Based on the ancient tree density distribution information and the ancient tree coordinate point set in the protected area, the minimum value of the weighted map of the environmental impact of ancient trees is calculated to obtain the map of the minimum environmental impact of ancient trees. Based on the minimum environmental impact map of ancient trees and the candidate areas for confirmed ownership communities, the areas for confirmed ownership communities of resources in nature reserves were determined. Based on the collected environmental geographic information of the protected area and the confirmed ownership community area of ​​the nature reserve resources, a ownership map of ancient tree resources in the protected area was created.

2. The method for three-dimensional rights confirmation of resources in nature reserves according to claim 1, characterized in that, The method for determining the density distribution information of ancient trees in the protected area includes: Formula 1; In Equation 1, In order to be in The kernel density estimate at the location; The total number of samples from ancient tree sites. For bandwidth, for Location and the The square of the horizontal Euclidean distance between the ancient trees. Calculated using a Gaussian kernel. This is the normalization constant.

3. The method for three-dimensional rights confirmation of resources in nature reserves according to claim 1, characterized in that, The method for obtaining the minimum environmental impact map of ancient trees includes: Based on the set of coordinate points of ancient trees in the protected area, each ancient tree in the set of coordinate points is regarded as a vertex; Based on the apex of each ancient tree and combined with the environmental geographic information of the protected area, the environmental connection cost between the apex of each ancient tree is determined. Based on the ancient tree density distribution information and the ancient tree coordinate point set in the protected area, the environmental connection cost between each ancient tree vertex is optimized to obtain the minimum value map of the environmental impact of ancient trees.

4. The method for three-dimensional rights confirmation of resources in nature reserves according to claim 3, characterized in that, The method for minimizing the environmental connectivity cost between ancient tree vertices includes: Formula 2; In Equation 2, for Point and The cost of connecting points for Point and Horizontal projection distance of the point for The elevation value of the center of the root of the ancient tree. for The elevation value of the center of the root of the ancient tree. This is the elevation difference penalty coefficient. The penalty coefficient for crossing major roads, The penalty coefficient for crossing linear barriers such as valleys / streams. for Point and The penalty factor for connecting points that crosses a main road. for Point and The penalty factor for connecting points across linear barriers such as valleys / streams.

5. A method for three-dimensional rights confirmation of resources in nature reserves according to any one of claims 1 to 4, characterized in that, Also includes: Based on the environmental geographic information of the protected area and the coordinate point set of ancient trees in the protected area, the minimum environmental impact map of ancient trees is optimized by pruning and connectivity to obtain multiple connected components, and the compactness index is calculated for each connected component. Based on the compactness index of each connected component, screening and division are carried out in the resource ownership community area of ​​the nature reserve to obtain at least one candidate registration unit. Based on the environmental geographic information of the protected area, a three-dimensional boundary polygon is generated for each candidate registration unit, and a dynamic outer buffer is applied to the three-dimensional boundary polygon generated for each candidate registration unit.

6. The method for three-dimensional rights confirmation of resources in nature reserves according to claim 5, characterized in that, The method for calculating the compactness index for each connected component includes: Formula 3; In Equation 3, For connected components Tightness; For connected components The number of ancient trees in the area For connected components The three-dimensional convex hull projection area, Let be the perimeter of the convex hull. This is the shape factor.

7. A method for three-dimensional rights confirmation of resources in nature reserves according to claim 6, characterized in that, The method for generating a three-dimensional boundary polygon for each candidate registration unit and applying a dynamic outer buffer includes: Equation 4; In Equation 4, For the buffer radius, As the reference buffer radius, The coefficient representing the influence of spacing between ancient trees. The average plant spacing, This is the slope influence coefficient. The average slope angle is denoted as .

8. A three-dimensional resource ownership system for nature reserves, characterized in that, The method for three-dimensional resource ownership confirmation of a nature reserve, as described in any one of claims 1 to 7, further includes: The data acquisition module is used to collect environmental geographic information of the protected area and related data on ancient trees; A coordinate positioning module is used to locate the center coordinates of the roots of each ancient tree in the protected area. A density calculation module, used to analyze the density of ancient trees within a region; A chart construction module is used to construct a weighted chart of the environmental impact of ancient trees. The region determination module is used to comprehensively analyze and determine the region of the nature reserve's resource ownership community based on the minimum environmental impact map of ancient trees and the candidate areas for ownership confirmation communities, and to clarify the scope of resources that need to be confirmed.

9. A three-dimensional resource ownership confirmation device for nature reserves, characterized in that, The rights confirmation device includes: a processor, a memory, and a data acquisition device; The data acquisition device is connected to the processor and is used to collect environmental geographic information of the protected area and related data of ancient trees, and transmit the collected data to the processor. The memory is connected to the processor and is used to store intermediate data generated during the processor's data processing and the final determination result data; The processor is used to execute a method for three-dimensional ownership of resources in nature reserves as described in any one of claims 1 to 7.

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