A method and device for analyzing regional ecological security pattern, and storage medium

Abstract

The present invention discloses a method and device for analyzing a regional ecological security pattern, and a storage medium, and relates to intelligent ecological analysis technology. The present invention inputs an initial MSPA landscape classification map into a landscape analysis model, determines a first moving path of an aerial detection device, obtains first detection data collected when the aerial detection device moves based on the first moving path, and determines a second moving path corresponding to the aerial detection device based on the first detection data and the first moving path. Since the second moving path is re-determined based on the first detection data and the first moving path, the second detection data also contains more accurate detection ecological data than the first detection data. Finally, the detection ecological data is first-hand ecological data of the target area obtained by a high-altitude detector. Therefore, the detection ecological data can be used to correct the initial MSPA landscape classification map, so that the ecological security pattern of the target area can be analyzed more accurately based on the target MSPA landscape classification map.

Description

Technical Field

[0001] The present invention relates to the field of intelligent ecological analysis technology, and in particular to a method and device for analyzing a regional ecological security pattern, and a storage medium. Background Art

[0002] In recent years, ecological zones in many regions have been eroded, the corridors that originally connected ecological spaces have suffered a certain degree of disruption, and the interaction between ecological patches has gradually weakened. This phenomenon not only interferes with basic ecological activities such as species survival, reproduction, migration and diffusion, but also has a significant impact on the ecosystem service efficiency and urban ecological security structure. Analyzing the regional ecological security pattern and constructing an ecological network as a response strategy aims to strengthen the connection between patches, improve landscape coherence, and enhance the overall service function of the regional ecosystem.

[0003] In the existing technology, the analysis of regional ecological security pattern mainly includes ecological suitability analysis, network analysis, minimum cumulative resistance model (MCR), graph theory, morphological spatial pattern analysis (MSPA method) and circuit theory, etc. Combining MSPA with landscape connectivity can screen ecological sources from multiple aspects and ensure the accuracy of the screening process.

[0004] In the existing technology, no matter what method is used, the data source plays a vital role. For example, in order to obtain more accurate distribution maps of ecological sources and ecological resistance surfaces, DEM elevation data, precipitation, water areas, roads, land use and Landsat8 remote sensing images are generally used, or global DEM 30 m resolution digital elevation data can be obtained from the geospatial data cloud platform of the Computer Network Information Center of the Chinese Academy of Sciences. However, the above data are all second-hand data and are not real-time. Once the data is biased, the final analysis results will be inaccurate.

[0005] Therefore, it is necessary to carry out regional ecological security pattern analysis based on more accurate data, so as to improve the accuracy of regional ecological security pattern analysis. Summary of the invention

[0006] The present invention provides a method and device for analyzing a regional ecological security pattern, and a storage medium, which are used to provide more accurate data to realize the regional ecological security pattern analysis, thereby improving the accuracy of the regional ecological security pattern analysis.

[0007] In order to solve the above technical problems, the first aspect of the present invention discloses a method for analyzing regional ecological security pattern, which is implemented based on an aerial detection device and includes:

[0008] According to the comprehensive ecological data of the target area, the initial MSPA landscape classification map corresponding to the target area is constructed using the MSPA analysis method; wherein the comprehensive ecological data includes one or more of DEM elevation data, precipitation data, water area data, road data and land use data;

[0009] Inputting the initial MSPA landscape classification map into a pre-trained landscape analysis model to obtain the area to be confirmed output by the landscape analysis model;

[0010] Determining a first moving path of the aerial detection device according to the area to be confirmed;

[0011] Acquire first detection data collected when the aerial detection device moves along the first moving path, and determine a second moving path corresponding to the aerial detection device based on the first detection data and the first moving path; wherein the detection data is acquired by a detection sensor provided on the aerial detection device;

[0012] Acquire second detection data collected by the aerial detection device when moving along the second moving path, and determine detection ecological data corresponding to the target area according to the second detection data;

[0013] According to the detected ecological data, the initial MSPA landscape classification map is corrected using the MSPA analysis method to obtain a target MSPA landscape classification map, and the ecological security pattern of the target area is analyzed based on the target MSPA landscape classification map.

[0014] As an optional embodiment, in the first aspect of the present invention, analyzing the ecological security pattern of the target area based on the target MSPA landscape classification map includes:

[0015] Based on the target MSPA landscape classification map, determining landscape elements in the target MSPA landscape classification map, the landscape elements including core areas, isolated units, transition zones, edge areas, holes, channels and tributaries;

[0016] According to the landscape elements in the target MSPA landscape classification map, all ecological patches in the target MSPA landscape classification map are determined, and the patch connectivity index PC corresponding to the target area is calculated according to the following formula:

[0017]

[0018] In the above formula, n is the total number of plaques in the target area, and are the areas of patch i and patch j respectively, is the maximum product probability of all paths between patch i and patch j, is the total area of ​​landscape elements contained in the target area;

[0019] The ecological security pattern of the target area is analyzed according to the landscape elements and the patch connectivity index PC corresponding to the target area.

[0020] As an optional embodiment, in the first aspect of the present invention, the inputting the initial MSPA landscape classification map into a pre-trained landscape analysis model to obtain the area to be confirmed output by the landscape analysis model comprises:

[0021] Inputting the initial MSPA landscape classification map into a pre-trained landscape analysis model, and dividing the initial MSPA landscape classification map into cultivated land, forest, grassland, water body, building land and idle land according to the landscape analysis model;

[0022] Determine forests and grasslands as foregrounds, determine cultivated land, water bodies, construction land and idle land as backgrounds, and extract transition zones between the foreground and backgrounds;

[0023] The transition zone is used as a region to be confirmed in the output of the landscape analysis model.

[0024] As an optional implementation, in the first aspect of the present invention, determining the first moving path of the aerial detection device according to the area to be confirmed includes:

[0025] For each transition zone, the center line of the shape of the transition zone is extracted as the first trajectory, and the trajectory is used to indicate the projection curve of the moving trajectory of the aerial detection device on the horizontal plane; the transition zone is divided into different sub-areas according to a preset first division rule, and the first height corresponding to each sub-area is determined according to the area of ​​each sub-area, and the height is used to indicate the flight altitude of the aerial detection device in the corresponding sub-area; the first moving path of the aerial detection device in the transition zone is determined according to the first trajectory and the first height.

[0026] As an optional implementation, in the first aspect of the present invention, the detection data includes image data and radar data;

[0027] And, the acquiring first detection data collected by the aerial detection device when it moves along the first moving path, and determining a second moving path corresponding to the aerial detection device based on the first detection data and the first moving path, comprises:

[0028] Acquire first image data and first radar data collected when the aerial detection device moves along the first moving path, determine a boundary line between the foreground and the background according to the first image data and the first radar data, and determine a second trajectory according to the first trajectory and the boundary line;

[0029] Dividing the dividing line into a plurality of sub-dividing lines according to a preset second dividing rule, and calculating a curvature parameter of each of the sub-dividing lines, wherein the curvature is used to measure the curvature of the corresponding sub-dividing line;

[0030] Determining a second height corresponding to each of the sub-dividing lines according to a curvature parameter of each of the sub-dividing lines, wherein the value of the curvature parameter is inversely proportional to the value of the second height;

[0031] A second moving path corresponding to the aerial detection device is determined according to the second trajectory and the second altitude.

[0032] As an optional embodiment, in the first aspect of the present invention, the method further comprises:

[0033] For each ecological patch in the target MSPA landscape classification map, the influence index dPC corresponding to the ecological patch is calculated according to the following formula:

[0034]

[0035] In the above formula, It is the patch connectivity index of the remaining ecological blocks as a whole after removing the ecological patch;

[0036] And, analyzing the ecological security pattern of the target area based on the target MSPA landscape classification map also includes:

[0037] The ecological security pattern of the target area is analyzed according to the landscape elements, the patch connectivity index PC corresponding to the target area and the influence index dPC corresponding to each ecological patch.

[0038] As an optional embodiment, in the first aspect of the present invention, the method further comprises:

[0039] Screening out a target ecological patch from all the ecological patches in the target MSPA landscape classification map, wherein the influence index corresponding to the target ecological patch exceeds a preset influence threshold;

[0040] For each of the target ecological patches, according to the shape of the target ecological patch, determine the third trajectory corresponding to the target ecological patch, the trajectory is used to indicate the projection curve of the moving trajectory of the aerial detection device on the horizontal plane; according to the influence index dPC corresponding to the target ecological patch, determine the sampling density corresponding to the target ecological patch, the sampling density is used to indicate the number of detection data collected by the aerial detection device per unit trajectory length; according to the third trajectory and the sampling density corresponding to the target ecological patch, determine the third height corresponding to the ecological patch, the height is used to indicate the flight altitude of the aerial detection device when running along the trajectory; according to the third trajectory, the sampling density and the third height corresponding to the target ecological patch, determine the detection strategy corresponding to the target ecological patch;

[0041] Acquire the third detection data collected by the aerial detection device based on the detection strategy corresponding to each of the target ecological patches, correct the detection ecological data according to the third detection data, and trigger the execution of the operation of correcting the initial MSPA landscape classification map according to the detection ecological data using the MSPA analysis method to obtain the target MSPA landscape classification map, and analyze the ecological security pattern of the target area based on the target MSPA landscape classification map.

[0042] The second aspect of the present invention discloses a device for analyzing regional ecological security pattern, the device comprising:

[0043] The MSPA analysis module is used to construct an initial MSPA landscape classification map corresponding to the target area based on the comprehensive ecological data of the target area using the MSPA analysis method; wherein the comprehensive ecological data includes one or more of DEM elevation data, precipitation data, water area data, road data and land use data;

[0044] A landscape analysis module, used to input the initial MSPA landscape classification map into a pre-trained landscape analysis model to obtain the area to be confirmed output by the landscape analysis model;

[0045] A first path determination module, used to determine a first moving path of the aerial detection device according to the area to be confirmed;

[0046] A second path determination module is used to obtain first detection data collected when the aerial detection device moves along the first moving path, and determine a second moving path corresponding to the aerial detection device based on the first detection data and the first moving path; wherein the detection data is obtained by a detection sensor provided on the aerial detection device;

[0047] a first detection module, configured to obtain second detection data collected by the aerial detection device when it moves along the second moving path, and determine detection ecological data corresponding to the target area according to the second detection data;

[0048] The ecological analysis module is used to modify the initial MSPA landscape classification map according to the detected ecological data using the MSPA analysis method to obtain a target MSPA landscape classification map, and analyze the ecological security pattern of the target area based on the target MSPA landscape classification map.

[0049] As an optional implementation, in the second aspect of the present invention, the specific manner in which the ecological analysis module analyzes the ecological security pattern of the target area based on the target MSPA landscape classification map includes:

[0050] Based on the target MSPA landscape classification map, determining landscape elements in the target MSPA landscape classification map, the landscape elements including core areas, isolated units, transition zones, edge areas, holes, channels and tributaries;

[0051] According to the landscape elements in the target MSPA landscape classification map, all ecological patches in the target MSPA landscape classification map are determined, and the patch connectivity index PC corresponding to the target area is calculated according to the following formula:

[0052]

[0053] In the above formula, n is the total number of plaques in the target area, and are the areas of patch i and patch j respectively, is the maximum product probability of all paths between patch i and patch j, is the total area of ​​landscape elements contained in the target area;

[0054] The ecological security pattern of the target area is analyzed according to the landscape elements and the patch connectivity index PC corresponding to the target area.

[0055] As an optional implementation, in the second aspect of the present invention, the landscape analysis module inputs the initial MSPA landscape classification map into a pre-trained landscape analysis model, and a specific method of obtaining the area to be confirmed output by the landscape analysis model includes:

[0056] Inputting the initial MSPA landscape classification map into a pre-trained landscape analysis model, and dividing the initial MSPA landscape classification map into cultivated land, forest, grassland, water body, building land and idle land according to the landscape analysis model;

[0057] Determine forests and grasslands as foregrounds, determine cultivated land, water bodies, construction land and idle land as backgrounds, and extract transition zones between the foreground and backgrounds;

[0058] The transition zone is used as the area to be confirmed in the output of the landscape analysis model.

[0059] As an optional implementation, in the second aspect of the present invention, the first path determination module determines the specific manner of the first moving path of the aerial detection device according to the area to be confirmed, including:

[0060] For each transition zone, the center line of the shape of the transition zone is extracted as the first trajectory, and the trajectory is used to indicate the projection curve of the moving trajectory of the aerial detection device on the horizontal plane; the transition zone is divided into different sub-areas according to a preset first division rule, and the first height corresponding to each sub-area is determined according to the area of ​​each sub-area, and the height is used to indicate the flight altitude of the aerial detection device in the corresponding sub-area; the first moving path of the aerial detection device in the transition zone is determined according to the first trajectory and the first height.

[0061] As an optional implementation, in the second aspect of the present invention, the detection data includes image data and radar data;

[0062] And, the second path determination module obtains first detection data collected when the aerial detection device moves based on the first moving path, and determines a specific manner of the second moving path corresponding to the aerial detection device based on the first detection data and the first moving path, including:

[0063] Acquire first image data and first radar data collected when the aerial detection device moves along the first moving path, determine a boundary line between the foreground and the background according to the first image data and the first radar data, and determine a second trajectory according to the first trajectory and the boundary line;

[0064] Dividing the dividing line into a plurality of sub-dividing lines according to a preset second dividing rule, and calculating a curvature parameter of each of the sub-dividing lines, wherein the curvature is used to measure the curvature of the corresponding sub-dividing line;

[0065] Determining a second height corresponding to each of the sub-dividing lines according to a curvature parameter of each of the sub-dividing lines, wherein the value of the curvature parameter is inversely proportional to the value of the second height;

[0066] A second moving path corresponding to the aerial detection device is determined according to the second trajectory and the second altitude.

[0067] As an optional implementation, in the second aspect of the present invention, the device further includes:

[0068] The patch analysis module is used to calculate the influence index dPC corresponding to each ecological patch in the target MSPA landscape classification map according to the following formula:

[0069]

[0070] In the above formula, It is the patch connectivity index of the remaining ecological blocks as a whole after removing the ecological patch;

[0071] Furthermore, the ecological analysis module is further used to analyze the ecological security pattern of the target area according to the landscape elements, the patch connectivity index PC corresponding to the target area, and the influence index dPC corresponding to each ecological patch.

[0072] As an optional implementation, in the second aspect of the present invention, the device further includes:

[0073] A patch screening module, used to screen out a target ecological patch from all the ecological patches in the target MSPA landscape classification map, wherein the influence index corresponding to the target ecological patch exceeds a preset influence threshold;

[0074] A strategy analysis module is used to determine, for each of the target ecological patches, a third trajectory corresponding to the target ecological patch according to the shape of the target ecological patch, wherein the trajectory is used to indicate a projection curve of the moving trajectory of the aerial detection device on the horizontal plane; determine a sampling density corresponding to the target ecological patch according to an influence index dPC corresponding to the target ecological patch, wherein the sampling density is used to indicate the number of detection data collected by the aerial detection device per unit trajectory length; determine a third height corresponding to the ecological patch according to the third trajectory and the sampling density corresponding to the target ecological patch, wherein the height is used to indicate the flight altitude of the aerial detection device when it is running along the trajectory; determine a detection strategy corresponding to the target ecological patch according to the third trajectory, the sampling density and the third height corresponding to the target ecological patch;

[0075] The second detection module is used to obtain the third detection data collected by the aerial detection device based on the detection strategy corresponding to each target ecological patch, and to correct the detection ecological data according to the third detection data, and to trigger the ecological analysis module to execute the operation of correcting the initial MSPA landscape classification map according to the detection ecological data using the MSPA analysis method to obtain the target MSPA landscape classification map, and analyzing the ecological security pattern of the target area based on the target MSPA landscape classification map.

[0076] The third aspect of the present invention discloses another regional ecological security pattern analysis system, the system comprising:

[0077] A memory storing executable program code;

[0078] a processor coupled to the memory;

[0079] The processor calls the executable program code stored in the memory to execute the regional ecological security pattern analysis method disclosed in the first aspect of the present invention.

[0080] The fourth aspect of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute the regional ecological security pattern analysis method disclosed in the first aspect of the present invention.

[0081] Compared with the prior art, the present invention has the following beneficial effects:

[0082] The present invention first constructs an initial MSPA landscape classification map corresponding to the target area according to the comprehensive ecological data of the target area; then inputs the initial MSPA landscape classification map into a pre-trained landscape analysis model to obtain the area to be confirmed output by the landscape analysis model, thereby determining the first moving path of the aerial detection device, obtaining the first detection data collected when the aerial detection device moves based on the first moving path, and determining the second moving path corresponding to the aerial detection device based on the first detection data and the first moving path. Since the second moving path is re-determined based on the first detection data and the first moving path, the second detection data also contains more accurate detection ecological data than the first detection data. Finally, the detection ecological data is the first-hand ecological data of the target area obtained by the high-altitude detector. Therefore, using the detection ecological data, the initial MSPA landscape classification map can be corrected by using the MSPA analysis method, thereby obtaining a more accurate target MSPA landscape classification map, and then the target MSPA landscape classification map can be relied on to make a more accurate analysis of the ecological security pattern of the target area. BRIEF DESCRIPTION OF THE DRAWINGS

[0083] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0084] Figure 1 It is a flow chart of a method for analyzing regional ecological security pattern disclosed in an embodiment of the present invention;

[0085] Figure 2 It is a structural schematic diagram of a regional ecological security pattern analysis device disclosed in an embodiment of the present invention;

[0086] Figure 3 It is a structural schematic diagram of a regional ecological security pattern analysis system disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0087] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0088] The terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish different objects rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, device, product or end including a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units that are not listed, or may optionally include other steps or units inherent to these processes, methods, products or ends.

[0089] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0090] The invention discloses a method and device for analyzing a regional ecological security pattern, and a storage medium, which are used to provide more accurate data to realize the regional ecological security pattern analysis, thereby improving the accuracy of the regional ecological security pattern analysis.

[0091] Embodiment 1

[0092] See also Figure 1 , Figure 1 It is a flow chart of a method for analyzing regional ecological security pattern disclosed in an embodiment of the present invention. Figure 1The described regional ecological security pattern analysis method can be used in a regional ecological security pattern analysis device, which can be integrated into a cloud server or a local server. Further, optionally, the regional ecological security pattern analysis device can also be integrated into an aerial detection device. Figure 1 As shown, the regional ecological security pattern analysis method can include the following operations:

[0093] Step 101: Based on the comprehensive ecological data of the target area, the initial MSPA landscape classification map corresponding to the target area is constructed using the MSPA analysis method.

[0094] Among them, comprehensive ecological data includes one or more of DEM elevation data, precipitation data, water area data, road data and land use data. Morphological Spatial Pattern Analysis (MSPA) is an image processing method based on the principle of mathematical morphology, which is used to measure, identify and segment the spatial pattern of raster images. This method can extract 7 landscape types from the pixel level, which can reflect the connectivity and structural characteristics of the landscape. There are many ways to implement the MSPA analysis method, such as directly processing the data by writing the corresponding program, or using the corresponding software for analysis.

[0095] In the embodiment of the present invention, the MSPA analysis method can be optionally implemented by using the MSPA tool in the Guidos Toolbox, using the comprehensive ecological data of the target area, performing a series of operations such as erosion and expansion, thereby refining the foreground area into 7 non-interfering landscape elements: specifically including core areas, isolated units, transition zones, edge areas, holes, channels, and tributaries. The core area, as a pixel-dense area in the ecosystem patch, can provide a rich living space for wildlife and is regarded as a potential source of vitality for the ecological network.

[0096] Step 102: input the initial MSPA landscape classification map into the pre-trained landscape analysis model to obtain the area to be confirmed output by the landscape analysis model.

[0097] In an embodiment of the present invention, the comprehensive ecological data is second-hand data and is not real-time. Once there is a deviation in the data, the final analysis result will be inaccurate. However, not all of the second-hand data is undesirable, otherwise it will bring a huge workload to regain all the data. To this end, in an embodiment of the present invention, according to the initial MSPA landscape classification map, the area to be confirmed is screened out, and the area to be confirmed is also the area where more accurate data needs to be further obtained. Optionally, the preset range area around the dividing line between different landscape types in the initial MSPA landscape classification map can be defined as the area to be confirmed, or the landscape type that has a greater impact on the ecological security pattern can be used as the area to be confirmed.

[0098] In an embodiment of the present invention, the landscape analysis model is obtained by training using a training data set, which includes multiple MSPA landscape classification maps and the corresponding areas to be confirmed on each landscape classification map. The trained landscape classification map is used to analyze the input MSPA landscape classification map to determine the area to be confirmed corresponding to the landscape classification map.

[0099] Step 103: Determine a first moving path of the aerial detection device according to the area to be confirmed.

[0100] In an embodiment of the present invention, the aerial detection device may be an aircraft carrying various detection devices suitable for high-altitude detection, such as a drone, a manned aircraft, a flying balloon, etc. The aerial detection device is used to detect the area to be confirmed, so as to obtain first-hand ecological data. For example, when the area to be confirmed is the dividing line between two landscape types, a high-altitude detector can be used to carry a camera or radar and other equipment to move along the dividing line and obtain detection data. At this time, the dividing line is the first moving path. For another example, for a larger area to be confirmed, such as an entire landscape, it is necessary to determine a better first moving path that can quickly detect the entire area to be confirmed based on the shape and area of ​​the area to be confirmed.

[0101] Step 104: Acquire first detection data collected when the aerial detection device moves along the first moving path, and determine a second moving path corresponding to the aerial detection device based on the first detection data and the first moving path.

[0102] Among them, the detection data is acquired by the detection sensor provided on the aerial detection device. In the embodiment of the present invention, the first moving path is determined based on the area to be confirmed, but in the process of detecting the area to be confirmed, the first detection data can be quickly obtained. The first detection data, as first-hand ecological data, can reflect the latest ecological information of the area to be confirmed. For example, the ecological changes occurring in the area to be confirmed can also be obtained at the first time. At this time, in order to obtain more accurate ecological data of the area to be confirmed, it is necessary to timely adjust the detection path of the aerial detection device according to the first detection data, that is, to determine the second moving path corresponding to the aerial detection device based on the first detection data and the first moving path.

[0103] Optionally, the first moving path is used to indicate the moving direction of the aerial detection device within a larger range, while the second moving path is used to indicate the detailed path of the aerial detection device when detecting a specific ecological feature, and the path here may include the moving trajectory and altitude.

[0104] Step 105: Acquire second detection data collected by the aerial detection device when moving along the second moving path, and determine detection ecological data corresponding to the target area based on the second detection data.

[0105] The aerial detection device moves based on the second moving path and collects second detection data. The second detection data is acquired by a detection sensor provided on the aerial detection device. The second detection data may be image data, video data, radar data, spectral data, etc. Since the second moving path is re-determined based on the first detection data and the first moving path, the second detection data also contains more accurate detection ecological data than the first detection data.

[0106] Step 106: According to the detected ecological data, the initial MSPA landscape classification map is corrected using the MSPA analysis method to obtain a target MSPA landscape classification map, and the ecological security pattern of the target area is analyzed based on the target MSPA landscape classification map.

[0107] In an embodiment of the present invention, the detected ecological data is first-hand ecological data of the target area obtained by high-altitude detectors. Therefore, using the detected ecological data and the MSPA analysis method, the initial MSPA landscape classification map can be corrected to obtain a more accurate target MSPA landscape classification map, thereby relying on the target MSPA landscape classification map to conduct a more accurate analysis of the ecological security pattern of the target area.

[0108] In the embodiment of the present invention, the analysis of the ecological security pattern is a relatively mature technology. Optionally, the analysis of the ecological security pattern may include:

[0109] Determine the ecological source: The core area of ​​the identified landscape elements is used as the ecological source.

[0110] Landscape connectivity analysis and construction of resistance surface: A landscape resistance surface is constructed based on factors such as land use type and topography to reflect the resistance to species movement between different landscape types.

[0111] Identify ecological corridors and use methods such as the minimum cumulative resistance model (MCR) to identify potential ecological corridors based on the location of resistance surfaces and ecological sources.

[0112] Construct an ecological security pattern, combine ecological sources and ecological corridors, and construct an ecological network. Use graph theory methods to quantitatively evaluate ecological networks, such as calculating network structure indexes (such as α, β, and γ indices) to evaluate the connectivity and structural complexity of the network.

[0113] Ecological security zoning: Based on information such as ecological source areas, ecological corridors, and landscape resistance surfaces, the target area is divided into different ecological security zones, such as ecological conservation zones, ecological expansion zones, optimized buffer zones, and ecological protection zones.

[0114] Assess the ecological security pattern: Analyze the rationality of the ecological security pattern, such as whether the connectivity of the ecological network, the layout of ecological corridors, and the division of ecological security zones can effectively protect the biodiversity and ecosystem functions in the region.

[0115] It can be seen that the regional ecological security pattern analysis method in the embodiment of the present invention is implemented. First, the initial MSPA landscape classification map corresponding to the target area is constructed according to the comprehensive ecological data of the target area; then the initial MSPA landscape classification map is input into the pre-trained landscape analysis model to obtain the area to be confirmed output by the landscape analysis model, thereby determining the first moving path of the aerial detection device, obtaining the first detection data collected when the aerial detection device moves based on the first moving path, and determining the second moving path corresponding to the aerial detection device based on the first detection data and the first moving path. Since the second moving path is re-determined based on the first detection data and the first moving path, the second detection data also contains more accurate detection ecological data than the first detection data. Finally, the detection ecological data is the first-hand ecological data of the target area obtained by the high-altitude detector. Therefore, using the detection ecological data, the initial MSPA landscape classification map can be corrected by using the MSPA analysis method, thereby obtaining a more accurate target MSPA landscape classification map, and then the target MSPA landscape classification map can be relied on to make a more accurate analysis of the ecological security pattern of the target area.

[0116] In an optional embodiment, analyzing the ecological security pattern of the target area based on the target MSPA landscape classification map may also include:

[0117] Based on the target MSPA landscape classification map, the landscape elements in the target MSPA landscape classification map are determined, and the landscape elements include core areas, isolated units, transition zones, edge areas, holes, channels and tributaries;

[0118] According to the landscape elements in the target MSPA landscape classification map, all ecological patches in the target MSPA landscape classification map are determined, where ecological patches refer to block-shaped areas in the landscape that are relatively homogeneous, have good internal connectivity, and have obvious differences from the surrounding environment in terms of ecological characteristics. It can be a natural or semi-natural area such as a forest, a wetland, or a grassland, which has relative independence and integrity in terms of ecosystem structure, function, and species composition.

[0119] The plaque connectivity index PC corresponding to the target area is calculated according to the following formula:

[0120]

[0121] In the above formula, n is the total number of patches in the target area, and are the areas of patch i and patch j respectively, is the maximum product probability of all paths between patch i and patch j, is the total area of ​​landscape elements contained in the target area;

[0122] The ecological security pattern of the target area is analyzed based on the landscape elements and the patch connectivity index PC corresponding to the target area.

[0123] In this optional embodiment, the patch connectivity index (PC) can be an important indicator to measure the connectivity between ecological patches in the landscape. It reflects the degree of spatial connection and interaction between ecological patches. A higher value usually means better connectivity between patches, and smoother communication of matter, energy and species between patches, which is conducive to maintaining the stability and integrity of the ecosystem and can more comprehensively analyze the ecological security pattern of the target area.

[0124] In another optional embodiment, the initial MSPA landscape classification map is input into a pre-trained landscape analysis model to obtain the area to be confirmed output by the landscape analysis model, including:

[0125] Input the initial MSPA landscape classification map into the pre-trained landscape analysis model, and divide the initial MSPA landscape classification map into cultivated land, forest, grassland, water body, building land and idle land according to the landscape analysis model;

[0126] Determine forests and grasslands as foregrounds, and farmland, water bodies, construction land and idle land as backgrounds, and extract transition zones between foregrounds and backgrounds;

[0127] The transition zone is used as the area to be confirmed in the output of the landscape analysis model.

[0128] In this optional embodiment, the transition zone between the foreground and the background will continue to change due to changes in time and the influence of various uncertain factors, for example, grassland is transformed into construction land due to construction planning, grassland is degraded due to desertification, and forest area is reduced due to logging, etc. In addition, the boundary between the foreground and the background also needs to obtain more ecological information to be accurately determined, for example, the boundary between grassland and cultivated land, and the boundary between forest and idle land can be accurately determined by taking clearer photos.

[0129] In this optional embodiment, the landscape analysis model does not directly determine the area to be determined based on the MSPA landscape classification map, but is used to divide the initial MSPA landscape classification map into cultivated land, forest, grassland, water body, building land and idle area. Therefore, when training the landscape analysis model, the training data set used can be multiple MSPA landscape classification maps and the cultivated land, forest, grassland, water body, building land and idle area marked on each MSPA landscape classification map, so that the landscape analysis model is used to analyze the MSPA landscape classification map to determine the cultivated land, forest, grassland, water body, building land and idle area on the MSPA landscape classification map.

[0130] It can be seen that this optional embodiment first divides the MSPA landscape classification map into cultivated land, forest, grassland, water body, building land and idle area, then determines the forest and grassland as the foreground, and determines the cultivated land, water body, building land and idle area as the background, and finally uses the transition zone between the foreground and the background as the area to be confirmed in the output of the landscape analysis model, thereby providing more reasonable location guidance for subsequent detection data acquisition.

[0131] In yet another optional embodiment, determining the first moving path of the aerial detection device according to the area to be confirmed includes:

[0132] For each transition zone, the center line of the shape of the transition zone is extracted as the first trajectory, and the trajectory is used to indicate the projection curve of the moving trajectory of the aerial detection device on the horizontal plane; the transition zone is divided into different sub-areas according to a preset first division rule, and the first height corresponding to each sub-area is determined according to the area of ​​the sub-area, and the first height is used to indicate the flight altitude of the aerial detection device in the corresponding sub-area; the first moving path of the aerial detection device in the transition zone is determined according to the first trajectory and the first height.

[0133] In this optional embodiment, the transition zone often appears as a curved strip, or is accompanied by the boundary between the hillside and the flat land, or is accompanied by the transition zone between the grassland and the cultivated land. However, the boundary and the transition zone are not clear and can be directly identified, but are tortuous and difficult to distinguish or even have blurred boundaries. Therefore, it is necessary to obtain the detection ecological data through the aerial detection device. For the transition zone, it can be divided into different sub-areas at fixed intervals, or it can be divided into different sub-areas according to width, so as to match different flight altitudes for different sub-areas.

[0134] For the detection sensors on the aerial detection device, whether it is an image sensor, video sensor, radar sensor, or spectral sensor, the farther the distance, the wider the field of view. Taking the drone equipped with an image sensor as an example, the higher the drone is from the ground, the larger the range of the image sensor to obtain the image, but at the same time the clarity of the image is also lower. Therefore, for the planning of the first moving path, both the moving path of the aerial detection device and the height of the aerial detection device must be considered. If the flight altitude remains unchanged, then for a larger sub-area, the overall ecological data may not be obtained, and for a smaller sub-area, more detailed ecological data is not obtained. Therefore, for a larger sub-area, a higher flight altitude is matched, and for a smaller sub-area, a lower flight altitude is matched, so as to find a balance between the range and clarity of the image obtained.

[0135] In yet another optional embodiment, the detection data includes image data and radar data;

[0136] And, obtaining first detection data collected when the aerial detection device moves based on the first movement path, and determining a second movement path corresponding to the aerial detection device based on the first detection data and the first movement path may include:

[0137] Acquire first image data and first radar data collected by the aerial detection device when moving based on the first moving path, determine a boundary line between the foreground and the background according to the first image data and the first radar data, and determine a second trajectory according to the first trajectory and the dividing line. Optionally, the second trajectory may be consistent with the dividing line.

[0138] Dividing the dividing line into a plurality of sub-dividing lines according to a preset second dividing rule, and calculating a curvature parameter of each sub-dividing line, where the curvature is used to measure the curvature of the corresponding sub-dividing line;

[0139] Determine the second height corresponding to each sub-dividing line according to a curvature parameter of each sub-dividing line, wherein the value of the curvature parameter is inversely proportional to the value of the second height;

[0140] A second moving path corresponding to the aerial detection device is determined according to the second trajectory and the second altitude.

[0141] In this optional embodiment, the detection data acquired when the aerial detection device moves along the first moving path is actually used to determine the second moving path. In the process of determining the second moving path, the curvature of the sub-dividing line is used as the basis for setting the flight altitude. This is because: for dividing lines with a lower curvature, such as straight lines, they are often very easy to distinguish and identify, such as the dividing line between a river bank and a grassland, the dividing line between a fenced grassland and cultivated land, etc., there is no need to obtain more detailed detection data at this time, which can appropriately save workload and calculation, so the flight altitude is also set relatively high. For dividing lines with a larger curvature, they are often difficult to distinguish and cannot be directly distinguished, such as the dividing line between a forest and an idle area, which is often very tortuous. At this time, it is necessary to obtain detection data containing more details at a lower flight altitude, such as image data with higher resolution.

[0142] It can be seen that this optional embodiment determines the second trajectory based on the first trajectory and the dividing line, and determines the second height corresponding to each sub-dividing line based on the curvature parameter of each sub-dividing line, thereby matching a higher flight altitude for easier-to-distinguish dividing lines, reducing the workload; and matching a lower flight altitude for more difficult-to-distinguish dividing lines, thereby obtaining more detailed detection data, thereby improving the accuracy of dividing line recognition.

[0143] In yet another optional embodiment, the method may further include:

[0144] For each ecological patch in the target MSPA landscape classification map, the influence index dPC corresponding to the ecological patch is calculated according to the following formula:

[0145]

[0146] In the above formula, is the patch connectivity index of the remaining ecological plate as a whole after removing the ecological patch, where: The calculation method is the same as that of PC.

[0147] And, based on the target MSPA landscape classification map, the ecological security pattern of the target area is analyzed, including:

[0148] The ecological security pattern of the target area is analyzed based on landscape elements, the patch connectivity index PC corresponding to the target area, and the influence index dPC corresponding to each ecological patch.

[0149] In this optional embodiment, the ecological patch influence index is an indicator used to assess the importance of ecological patches in an ecosystem. It can help identify patches that play a key role in maintaining landscape connectivity and ecological functions, and can more comprehensively analyze the ecological security pattern of the target area.

[0150] In yet another optional embodiment, the method may further include:

[0151] Filter out the target ecological patches from all ecological patches in the target MSPA landscape classification map, where the influence index corresponding to the target ecological patch exceeds the preset influence threshold;

[0152] For each target ecological patch, according to the shape of the target ecological patch, determine the third trajectory corresponding to the target ecological patch, and the trajectory is used to indicate the projection curve of the moving trajectory of the aerial detection device on the horizontal plane; according to the influence index dPC corresponding to the target ecological patch, determine the sampling density corresponding to the target ecological patch, and the sampling density is used to indicate the number of detection data collected by the aerial detection device per unit trajectory length; according to the third trajectory and sampling density corresponding to the target ecological patch, determine the third height corresponding to the ecological patch, and the third height is used to indicate the flight altitude of the aerial detection device when it is running along the trajectory; according to the third trajectory, sampling density and third height corresponding to the target ecological patch, determine the detection strategy corresponding to the target ecological patch;

[0153] The third detection data collected by the aerial detection device based on the detection strategy corresponding to each target ecological patch is obtained, and the detection ecological data is corrected according to the third detection data, and the operation of correcting the initial MSPA landscape classification map according to the detection ecological data and using the MSPA analysis method is triggered to obtain the target MSPA landscape classification map, and analyzing the ecological security pattern of the target area based on the target MSPA landscape classification map.

[0154] In this optional embodiment, for ecological patches with greater influence, it is also necessary to use aerial detection devices to detect in order to obtain first-hand and more accurate ecological data. During the detection process of the aerial detection device, the sampling density refers to the number of detections per unit time, and it can also refer to the number of detections per unit distance. For example, for an image sensor, the quality of detection data obtained by taking 40 photos in one minute is better than the quality of detection data obtained by taking 20 photos in one minute; similarly, the quality of detection data obtained by taking a photo every ten meters is better than the quality of detection data obtained by taking a photo every 50 meters. Therefore, in this optional embodiment, for ecological patches with a higher influence index, a higher sampling density needs to be matched.

[0155] In this optional embodiment, the third altitude corresponding to the target ecological patch is determined according to the third trajectory and sampling density corresponding to the target ecological patch. For example, a lower flight altitude is matched for a trajectory with a larger sampling density, and a higher flight altitude is matched for a trajectory with a smaller sampling density, so as to obtain more detailed detection data. Finally, the third detection data is obtained, and the detection ecological data is corrected according to the third detection data, and the initial MSPA landscape classification map is corrected here to obtain the target MSPA landscape classification map, so as to more accurately analyze the ecological security pattern of the target area based on the target MSPA landscape classification map.

[0156] Embodiment 2

[0157] See also Figure 2 , Figure 2 Schematic diagram of the structure of a regional ecological security pattern analysis device disclosed in an embodiment of the present invention. Figure 2 As shown, the regional ecological security pattern analysis device may include:

[0158] The MSPA analysis module 201 is used to construct an initial MSPA landscape classification map corresponding to the target area according to the comprehensive ecological data of the target area by using the MSPA analysis method; wherein the comprehensive ecological data may include one or more of DEM elevation data, precipitation data, water area data, road data and land use data;

[0159] The landscape analysis module 202 is used to input the initial MSPA landscape classification map into the pre-trained landscape analysis model to obtain the area to be confirmed output by the landscape analysis model;

[0160] A first path determination module 203, used to determine a first moving path of the aerial detection device according to the area to be confirmed;

[0161] The second path determination module 204 is used to obtain the first detection data collected by the aerial detection device when it moves along the first moving path, and determine the second moving path corresponding to the aerial detection device based on the first detection data and the first moving path; wherein the detection data is obtained by a detection sensor provided on the aerial detection device;

[0162] The first detection module 205 is used to obtain second detection data collected by the aerial detection device when it moves based on the second moving path, and determine the detection ecological data corresponding to the target area according to the second detection data;

[0163] The ecological analysis module 206 is used to modify the initial MSPA landscape classification map based on the detected ecological data using the MSPA analysis method to obtain the target MSPA landscape classification map, and analyze the ecological security pattern of the target area based on the target MSPA landscape classification map.

[0164] In an optional embodiment, the specific manner in which the ecological analysis module 206 analyzes the ecological security pattern of the target area based on the target MSPA landscape classification map may include:

[0165] Based on the target MSPA landscape classification map, determine the landscape elements in the target MSPA landscape classification map, which may include core areas, isolated units, transition zones, edge areas, holes, channels, and tributary areas;

[0166] According to the landscape elements in the target MSPA landscape classification map, all ecological patches in the target MSPA landscape classification map are determined, and the patch connectivity index PC corresponding to the target area is calculated according to the following formula:

[0167]

[0168] In the above formula, n is the total number of patches in the target area, and are the areas of patch i and patch j respectively, is the maximum product probability of all paths between patch i and patch j, is the total area of ​​landscape elements contained in the target area;

[0169] The ecological security pattern of the target area is analyzed based on the landscape elements and the patch connectivity index PC corresponding to the target area.

[0170] In another optional embodiment, the landscape analysis module 202 inputs the initial MSPA landscape classification map into a pre-trained landscape analysis model, and the specific method of obtaining the area to be confirmed output by the landscape analysis model may include:

[0171] Input the initial MSPA landscape classification map into the pre-trained landscape analysis model, and divide the initial MSPA landscape classification map into cultivated land, forest, grassland, water body, building land and idle land according to the landscape analysis model;

[0172] Determine forests and grasslands as foregrounds, and farmland, water bodies, construction land and idle land as backgrounds, and extract transition zones between foregrounds and backgrounds;

[0173] The transition zone is used as the area to be confirmed in the output of the landscape analysis model.

[0174] In another optional embodiment, the specific manner in which the first path determination module 203 determines the first moving path of the aerial detection device according to the area to be confirmed may include:

[0175] For each transition zone, the center line of the shape of the transition zone is extracted as the first trajectory, and the trajectory is used to indicate the projection curve of the moving trajectory of the aerial detection device on the horizontal plane; the transition zone is divided into different sub-areas according to a preset first division rule, and the first height corresponding to each sub-area is determined according to the area of ​​the sub-area, and the height is used to indicate the flight altitude of the aerial detection device in the corresponding sub-area; the first moving path of the aerial detection device in the transition zone is determined according to the first trajectory and the first height.

[0176] In yet another optional embodiment, the detection data may include image data and radar data;

[0177] Furthermore, the second path determination module 204 acquires the first detection data collected when the aerial detection device moves based on the first moving path, and determines the specific manner of the second moving path corresponding to the aerial detection device based on the first detection data and the first moving path, which may include:

[0178] Acquire first image data and first radar data collected when the aerial detection device moves along the first moving path, determine a boundary line between the foreground and the background according to the first image data and the first radar data, and determine a second trajectory according to the first trajectory and the boundary line;

[0179] Dividing the dividing line into a plurality of sub-dividing lines according to a preset second dividing rule, and calculating a curvature parameter of each sub-dividing line, where the curvature is used to measure the curvature of the corresponding sub-dividing line;

[0180] Determine the second height corresponding to each sub-dividing line according to a curvature parameter of each sub-dividing line, wherein the value of the curvature parameter is inversely proportional to the value of the second height;

[0181] A second moving path corresponding to the aerial detection device is determined according to the second trajectory and the second altitude.

[0182] In yet another optional embodiment (not shown in the figure), the device may further include:

[0183] The patch analysis module is used to calculate the influence index dPC corresponding to each ecological patch in the target MSPA landscape classification map according to the following formula:

[0184]

[0185] In the above formula, It is the patch connectivity index of the remaining ecological blocks as a whole after removing the ecological patch;

[0186] Furthermore, the ecological analysis module 206 is further used to analyze the ecological security pattern of the target area according to the landscape elements, the patch connectivity index PC corresponding to the target area, and the influence index dPC corresponding to each ecological patch.

[0187] In yet another optional embodiment (not shown in the figure), the device may further include:

[0188] A patch screening module is used to screen out target ecological patches from all ecological patches in the target MSPA landscape classification map, wherein the influence index corresponding to the target ecological patch exceeds a preset influence threshold;

[0189] A strategy analysis module is used to determine, for each target ecological patch, the third trajectory corresponding to the target ecological patch according to the shape of the target ecological patch, the trajectory is used to indicate the projection curve of the moving trajectory of the aerial detection device on the horizontal plane; determine the sampling density corresponding to the target ecological patch according to the influence index dPC corresponding to the target ecological patch, the sampling density is used to indicate the number of detection data collected by the aerial detection device per unit trajectory length; determine the third height corresponding to the ecological patch according to the third trajectory and sampling density corresponding to the target ecological patch, the height is used to indicate the flight altitude of the aerial detection device when it is running along the trajectory; determine the detection strategy corresponding to the target ecological patch according to the third trajectory, sampling density and third height corresponding to the target ecological patch;

[0190] The second detection module is used to obtain the third detection data collected by the aerial detection device based on the detection strategy corresponding to each target ecological patch, correct the detection ecological data according to the third detection data, and trigger the ecological analysis module 206 to execute the operation of correcting the initial MSPA landscape classification map according to the detection ecological data using the MSPA analysis method, obtaining the target MSPA landscape classification map, and analyzing the ecological security pattern of the target area based on the target MSPA landscape classification map.

[0191] Embodiment 3

[0192] See also Figure 3 , Figure 3 Schematic diagram of the structure of a regional ecological security pattern analysis system disclosed in an embodiment of the present invention. Figure 3 As shown, the regional ecological security pattern analysis system can include:

[0193] A memory 301 storing executable program codes;

[0194] a processor 302 coupled to the memory 301;

[0195] The processor 302 calls the executable program code stored in the memory 301 to execute the steps in the regional ecological security pattern analysis method described in the first embodiment of the present invention.

[0196] Embodiment 4

[0197] The embodiment of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute the steps in the regional ecological security pattern analysis method described in the first embodiment of the present invention.

[0198] Embodiment 5

[0199] An embodiment of the present invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to enable a computer to execute the steps in the regional ecological security pattern analysis method described in Example 1.

[0200] The device embodiments described above are only illustrative, wherein the modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, i.e., they may be located in one place, or they may be distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art may understand and implement it without creative work.

[0201] Through the specific description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on such an understanding, the above technical solution can be essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, and the storage medium includes a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable programmable read-only memory (EEPROM), a compact disc (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0202] Finally, it should be noted that the regional ecological security pattern analysis method, device, and storage medium disclosed in the embodiments of the present invention are only preferred embodiments of the present invention, and are only used to illustrate the technical solution of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features therein may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for analyzing regional ecological security pattern, characterized in that: The method is implemented based on an aerial detection device, and the method comprises: According to the comprehensive ecological data of the target area, the initial MSPA landscape classification map corresponding to the target area is constructed using the MSPA analysis method; wherein the comprehensive ecological data includes one or more of DEM elevation data, precipitation data, water area data, road data and land use data; Inputting the initial MSPA landscape classification map into a pre-trained landscape analysis model to obtain the area to be confirmed output by the landscape analysis model; Determining a first moving path of the aerial detection device according to the area to be confirmed; Acquire first detection data collected when the aerial detection device moves along the first moving path, and determine a second moving path corresponding to the aerial detection device based on the first detection data and the first moving path; wherein the detection data is acquired by a detection sensor provided on the aerial detection device; Acquire second detection data collected by the aerial detection device when moving along the second moving path, and determine detection ecological data corresponding to the target area according to the second detection data; According to the detected ecological data, the initial MSPA landscape classification map is corrected using the MSPA analysis method to obtain a target MSPA landscape classification map, and the ecological security pattern of the target area is analyzed based on the target MSPA landscape classification map.

2. The regional ecological security pattern analysis method according to claim 1 is characterized in that: The analyzing the ecological security pattern of the target area based on the target MSPA landscape classification map includes: Based on the target MSPA landscape classification map, determining landscape elements in the target MSPA landscape classification map, the landscape elements including core areas, isolated units, transition zones, edge areas, holes, channels and tributaries; According to the landscape elements in the target MSPA landscape classification map, all ecological patches in the target MSPA landscape classification map are determined, and the patch connectivity index PC corresponding to the target area is calculated according to the following formula: In the above formula, n is the total number of plaques in the target area, and are the areas of patch i and patch j respectively, is the maximum product probability of all paths between patch i and patch j, is the total area of ​​landscape elements contained in the target area; The ecological security pattern of the target area is analyzed according to the landscape elements and the patch connectivity index PC corresponding to the target area.

3. The regional ecological security pattern analysis method according to claim 1 is characterized in that: The step of inputting the initial MSPA landscape classification map into a pre-trained landscape analysis model to obtain the area to be confirmed output by the landscape analysis model comprises: Inputting the initial MSPA landscape classification map into a pre-trained landscape analysis model, and dividing the initial MSPA landscape classification map into cultivated land, forest, grassland, water body, building land and idle land according to the landscape analysis model; Determine forests and grasslands as foregrounds, determine cultivated land, water bodies, building land and idle land as backgrounds, and extract transition zones between the foreground and backgrounds; The transition zone is used as the area to be confirmed in the output of the landscape analysis model.

4. The method for analyzing regional ecological security pattern according to claim 3 is characterized in that: Determining a first moving path of the aerial detection device according to the area to be confirmed includes: For each transition zone, the center line of the shape of the transition zone is extracted as the first trajectory, and the trajectory is used to indicate the projection curve of the moving trajectory of the aerial detection device on the horizontal plane; the transition zone is divided into different sub-areas according to a preset first division rule, and the first height corresponding to each sub-area is determined according to the area of ​​each sub-area, and the height is used to indicate the flight altitude of the aerial detection device in the corresponding sub-area; the first moving path of the aerial detection device in the transition zone is determined according to the first trajectory and the first height.

5. The method for analyzing regional ecological security pattern according to claim 4 is characterized in that: The detection data includes image data and radar data; And, the acquiring first detection data collected by the aerial detection device when it moves along the first moving path, and determining a second moving path corresponding to the aerial detection device based on the first detection data and the first moving path, comprises: Acquire first image data and first radar data collected when the aerial detection device moves along the first moving path, determine a boundary line between the foreground and the background according to the first image data and the first radar data, and determine a second trajectory according to the first trajectory and the boundary line; Dividing the dividing line into a plurality of sub-dividing lines according to a preset second dividing rule, and calculating a curvature parameter of each of the sub-dividing lines, wherein the curvature is used to measure the curvature of the corresponding sub-dividing line; Determining a second height corresponding to each of the sub-dividing lines according to a curvature parameter of each of the sub-dividing lines, wherein the value of the curvature parameter is inversely proportional to the value of the second height; A second moving path corresponding to the aerial detection device is determined according to the second trajectory and the second altitude.

6. The method for analyzing regional ecological security pattern according to claim 2 is characterized in that: The method further comprises: For each ecological patch in the target MSPA landscape classification map, the influence index dPC corresponding to the ecological patch is calculated according to the following formula: In the above formula, It is the patch connectivity index of the remaining ecological blocks as a whole after removing the ecological patch; And, analyzing the ecological security pattern of the target area based on the target MSPA landscape classification map also includes: The ecological security pattern of the target area is analyzed according to the landscape elements, the patch connectivity index PC corresponding to the target area and the influence index dPC corresponding to each ecological patch.

7. The method for analyzing regional ecological security pattern according to claim 2, characterized in that: The method further comprises: Screening out a target ecological patch from all the ecological patches in the target MSPA landscape classification map, wherein the influence index corresponding to the target ecological patch exceeds a preset influence threshold; For each of the target ecological patches, according to the shape of the target ecological patch, determine the third trajectory corresponding to the target ecological patch, the trajectory is used to indicate the projection curve of the moving trajectory of the aerial detection device on the horizontal plane; according to the influence index dPC corresponding to the target ecological patch, determine the sampling density corresponding to the target ecological patch, the sampling density is used to indicate the number of detection data collected by the aerial detection device per unit trajectory length; according to the third trajectory and the sampling density corresponding to the target ecological patch, determine the third height corresponding to the ecological patch, the height is used to indicate the flight altitude of the aerial detection device when running along the trajectory; according to the third trajectory, the sampling density and the third height corresponding to the target ecological patch, determine the detection strategy corresponding to the target ecological patch; Acquire the third detection data collected by the aerial detection device based on the detection strategy corresponding to each of the target ecological patches, correct the detection ecological data according to the third detection data, and trigger the execution of the operation of correcting the initial MSPA landscape classification map according to the detection ecological data using the MSPA analysis method to obtain the target MSPA landscape classification map, and analyze the ecological security pattern of the target area based on the target MSPA landscape classification map.

8. A regional ecological security pattern analysis device, characterized in that: The device comprises: The MSPA analysis module is used to construct an initial MSPA landscape classification map corresponding to the target area based on the comprehensive ecological data of the target area using the MSPA analysis method; wherein the comprehensive ecological data includes one or more of DEM elevation data, precipitation data, water area data, road data and land use data; A landscape analysis module, used to input the initial MSPA landscape classification map into a pre-trained landscape analysis model to obtain the area to be confirmed output by the landscape analysis model; A first path determination module, used to determine a first moving path of the aerial detection device according to the area to be confirmed; A second path determination module is used to obtain first detection data collected when the aerial detection device moves along the first moving path, and determine a second moving path corresponding to the aerial detection device based on the first detection data and the first moving path; wherein the detection data is obtained by a detection sensor provided on the aerial detection device; a first detection module, configured to obtain second detection data collected by the aerial detection device when it moves along the second moving path, and determine detection ecological data corresponding to the target area according to the second detection data; The ecological analysis module is used to modify the initial MSPA landscape classification map according to the detected ecological data using the MSPA analysis method to obtain a target MSPA landscape classification map, and analyze the ecological security pattern of the target area based on the target MSPA landscape classification map.

9. A regional ecological security pattern analysis system, characterized in that: The system includes: a memory storing executable program code; a processor coupled to the memory; the processor calls the executable program code stored in the memory to execute the regional ecological security pattern analysis method as described in any one of claims 1-7.

10. A computer storage medium, characterized in that: The computer storage medium stores computer instructions, which, when called, are used to execute the regional ecological security pattern analysis method as described in any one of claims 1-7.

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