Territorial space vertical planning partitioning method, device, equipment, medium and product

Abstract

The invention discloses a territorial space vertical planning zoning method, which comprises the following steps: acquiring planning related data of a target area, and preprocessing the planning related data; wherein the planning related data comprises remote sensing satellite data, digital elevation data and territorial space planning data; according to the remote sensing satellite data, dividing the target area into a built area and a non-built area according to land use types, and obtaining construction condition data; performing low-lying area analysis on the target area based on the digital elevation data, dividing the target area into a low-lying area and a non-low-lying area, and obtaining terrain condition data; in combination with the land space planning data and the construction condition data, performing first-level partitioning on the target area to obtain a first-level partitioning result; performing second-level partitioning on the target area in combination with the first-level partitioning result and the terrain condition data to obtain a second-level partitioning result; according to the invention, through the multi-source data fusion and grading and partitioning technology, territorial space vertical planning and partitioning can be scientifically and reasonably realized, and vertical scientific management and control of a city can be realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of urban planning, and in particular to a land space vertical planning zoning method, device, equipment, medium and product. BACKGROUND

[0002] The land space vertical planning zoning method is a key means for optimizing the land space development and protection pattern, and the core is to realize the rational allocation of resources and sustainable development through scientific classification and spatial control.

[0003] The existing vertical planning focuses on small areas, lacks macro coordination, and leads to inconsistent planning standards in each area, without considering the relationship between urban construction status, ecological protection, current vertical low-lying areas and vertical planning, resulting in unreasonable planning zoning and difficulty in realizing rational allocation of resources. SUMMARY

[0004] The technical problem to be solved by the embodiments of the present application is to provide a land space vertical planning zoning method, which can scientifically and reasonably realize planning zoning and improve the efficiency of resource allocation.

[0005] In a first aspect, the embodiments of the present application provide a land space vertical planning zoning method, comprising:

[0006] Collecting planning related data of a target area and preprocessing the planning related data, wherein the planning related data includes remote sensing satellite data, digital elevation data and land space planning data;

[0007] According to the remote sensing satellite data, the target area is divided into built-up areas and non-built-up areas according to land use types, and construction condition data is obtained;

[0008] Based on the digital elevation data, low-lying area analysis is performed on the target area, and the target area is divided into low-lying areas and non-low-lying areas, and terrain condition data is obtained;

[0009] Combined with the land space planning data and the construction condition data, the target area is subjected to first-level zoning, and first-level zoning results are obtained;

[0010] Combined with the first-level zoning results and the terrain condition data, the target area is subjected to second-level zoning, and second-level zoning results are obtained.

[0011] Further, according to the remote sensing satellite data, the target area is divided into built-up areas and non-built-up areas according to land use types, and construction condition data is obtained, comprising:

[0012] The remote sensing satellite data is color clustered by using a clustering algorithm, the target area is divided into building land, road land, square land, green land and water system land according to land use types, and the classified raster data is converted into vector data;

[0013] The building land, the road land and the square land are merged into built-up areas;

[0014] The green land and the water system land are merged into non-built-up areas.

[0015] Further, the target area is analyzed for low-lying areas based on the digital elevation data, and is divided into low-lying areas and non-low-lying areas to obtain terrain condition data, including:

[0016] The land use data of the land use type of water system land is removed from the digital elevation data to obtain land elevation data;

[0017] The land elevation data is analyzed by using a D8 one-way flow algorithm to extract catchment paths, drainage divides and flow outlets, and obtain the current elevation value of each flow outlet;

[0018] The low-lying areas and non-low-lying areas of the target area are determined according to the current elevation value.

[0019] Further, the low-lying areas and non-low-lying areas of the target area are determined according to the current elevation value, including:

[0020] A fishing net grid of a preset length unit is created in each drainage divide, the center point of each grid is extracted, and the straight line distance between each center point and the flow outlet corresponding to the drainage divide is calculated;

[0021] Based on a preset surface runoff slope, the straight line distance and the current elevation value, the lowest ground elevation value is calculated; wherein the lowest ground elevation value represents the lowest elevation value required for rainwater to drain to the flow outlet by itself at the center point;

[0022] The low-lying areas and non-low-lying areas in the target area are determined according to the lowest ground elevation value.

[0023] Further, the target area is divided into a first-level partition by combining the national space planning data and the construction condition data to obtain a first-level partition result, including:

[0024] The first-level partition data and the second-level partition data in the national space planning data are obtained;

[0025] Superimpose and analyze the first-level partition data, the second-level partition data and the construction condition data by using the marking tool of Arcgis, and create a vertical planning first-level partition database;

[0026] When the sub-region belongs to the urban development area in the first-level partition data, belongs to the village construction area in the second-level partition data, and the corresponding construction condition data is the built area, mark the first-level partition result of the sub-region as the built area;

[0027] When the sub-region belongs to the urban development area in the first-level partition data, belongs to the village construction area in the second-level partition data, and the corresponding construction condition data is the non-built area, mark the first-level partition result of the sub-region as the incremental construction area;

[0028] When the sub-region belongs to the farmland protection area in the first-level partition data, and belongs to the general agricultural area, the forestry development area or the pastoral development area in the second-level partition data, mark the first-level partition result of the sub-region as the agricultural area;

[0029] When the sub-region belongs to the ecological control area, the ecological protection area or the marine development area in the first-level partition data, mark the first-level partition result of the sub-region as the ecological area.

[0030] Further, the first-level partition result and the terrain condition data are combined to perform second-level partition on the target area, and a second-level partition result is obtained, including:

[0031] Superimpose and analyze the vertical planning first-level partition database and the terrain condition data by using the marking tool of Arcgis, and create a vertical planning second-level partition database;

[0032] When the sub-region belongs to the built area in the vertical planning first-level partition database, and the corresponding terrain condition data is the low-lying area, mark the second-level partition result of the sub-region as the built area low-lying area;

[0033] When the sub-region belongs to the built area in the vertical planning first-level partition database, and the corresponding terrain condition data is the non-low-lying area, mark the second-level partition result of the sub-region as the built area standard area;

[0034] When the sub-region belongs to the incremental construction area in the vertical planning first-level partition database, and the corresponding terrain condition data is the low-lying area, mark the second-level partition result of the sub-region as the incremental construction area low-lying area;

[0035] When the sub-region belongs to the incremental construction area in the vertical planning first-level partition database, and the corresponding terrain condition data is the non-low-lying area, mark the second-level partition result of the sub-region as the incremental construction area standard area.

[0036] When the sub-region belongs to an agricultural area or an ecological area in the vertical planning first-level partition database, the second-level partition result is the same as the first-level partition result.

[0037] In a second aspect, an embodiment of the present application provides a land space vertical planning partition device, comprising:

[0038] A data collection and processing module is configured to collect planning-related data of a target area and pre-process the planning-related data, wherein the planning-related data comprises remote sensing satellite data, digital elevation data, and land space planning data.

[0039] A construction condition analysis module is configured to divide the target area into built-up areas and non-built-up areas according to land use types based on the remote sensing satellite data, and obtain construction condition data.

[0040] A terrain condition analysis module is configured to analyze low-lying areas of the target area based on the digital elevation data, divide the target area into low-lying areas and non-low-lying areas, and obtain terrain condition data.

[0041] A first-level planning partition module is configured to combine the land space planning data and the construction condition data, and perform first-level partition on the target area, and obtain a first-level partition result.

[0042] A second-level planning partition module is configured to combine the first-level partition result and the terrain condition data, and perform second-level partition on the target area, and obtain a second-level partition result.

[0043] In a third aspect, an embodiment of the present application provides an electronic device, comprising:

[0044] A memory is configured to store a computer program.

[0045] A processor is configured to execute the computer program.

[0046] When the processor executes the computer program, the land space vertical planning partition method of any one of the first aspect is implemented.

[0047] In a fourth aspect, an embodiment of the present application provides a computer readable storage medium, which stores a computer program, and when the computer program is executed, the land space vertical planning partition method of any one of the first aspect is implemented.

[0048] In a fifth aspect, an embodiment of the present application provides a computer program product comprising computer instructions, and when the computer instructions are executed by a processor, the land space vertical planning partition method of any one of the first aspect is implemented.

[0049] Compared with the prior art, the land space vertical planning zoning method provided by the embodiment of the application has the beneficial effects that: by collecting planning related data of a target region, the planning related data is preprocessed, wherein the planning related data includes remote sensing satellite data, digital elevation data and land space planning data; according to the remote sensing satellite data, the target region is divided into a built-up area and a non-built-up area according to land use types, and construction condition data is obtained; based on the digital elevation data, low-lying area analysis is performed on the target region, and the target region is divided into a low-lying area and a non-low-lying area, and terrain condition data is obtained; in combination with the land space planning data and the construction condition data, primary zoning is performed on the target region, and primary zoning results are obtained; in combination with the primary zoning results and the terrain condition data, secondary zoning is performed on the target region, and secondary zoning results are obtained; by means of multi-source data fusion and hierarchical zoning technology, the application can scientifically and reasonably realize planning zoning and improve the efficiency of resource allocation. BRIEF DESCRIPTION OF DRAWINGS

[0050] In order to more clearly illustrate the technical features of the embodiments of the application, the drawings needed to be used in the embodiments of the application will be briefly introduced as follows. Obviously, the drawings described below are only some embodiments of the application, and other drawings can be obtained by those skilled in the art without creative labor on the basis of these drawings.

[0051] Figure 1 is a flowchart of an embodiment of a land space vertical planning zoning method provided by the application;

[0052] Figure 2 is a structural schematic diagram of an embodiment of a land space vertical planning zoning device provided by the application;

[0053] Figure 3 is a structural schematic diagram of an embodiment of an electronic device provided by the application. DETAILED DESCRIPTION

[0054] The technical solutions in the embodiments of the application will be described clearly and completely below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only some of the embodiments of the application, but not all the embodiments. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the application.

[0055] It should be noted that although the functional modules are divided in the device schematic diagram, and the logical sequence is shown in the flowchart, in some cases, the steps shown or described can be performed in a manner different from the module division in the device or the sequence in the flowchart. The terms "first", "second", and the like in the specification and claims and the above-described drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence.

[0056] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used in this specification is for the purpose of describing example embodiments of the present application only and is not intended to be limiting of the present application.

[0057] In a first aspect, embodiments of the present application provide a land space vertical planning zoning method, as shown in Figure 1 , a flowchart of an embodiment of a land space vertical planning zoning method provided by the present application.

[0058] As shown in Figure 1 , the method comprises the following steps:

[0059] S1: Collecting planning-related data of a target area, and preprocessing the planning-related data; wherein the planning-related data comprises remote sensing satellite data, digital elevation data and land space planning data;

[0060] S2: According to the remote sensing satellite data, dividing the target area into built-up areas and non-built-up areas according to land use types, to obtain construction condition data;

[0061] S3: Based on the digital elevation data, performing low-lying area analysis on the target area, and dividing it into low-lying areas and non-low-lying areas, to obtain terrain condition data;

[0062] S4: Combining the land space planning data and the construction condition data, performing first-level zoning on the target area, to obtain first-level zoning results;

[0063] S5: Combining the first-level zoning results and the terrain condition data, performing second-level zoning on the target area, to obtain second-level zoning results.

[0064] In a specific implementation, real-time collection of remote sensing satellite data, digital elevation data and land space planning data of a target area, remote sensing satellite data ground pixel resolution is 10 meters, containing red, green, blue, near-infrared four bands, each band is 16-bit quantization, which can provide rich ground object spectral information, digital elevation data (DEM data) reflects the grid data of ground elevation information, land space planning data includes land space planning first-level zoning data and land space planning second-level zoning data.

[0065] Further, the remote sensing satellite data is pre-processed, including geometric correction, radiation correction and atmospheric correction processing operations, wherein the geometric correction can eliminate the image geometric deformation caused by factors such as satellite sensor viewing angle, earth curvature, terrain undulation, so that the image coordinates match the real ground coordinates, the radiation correction can correct the radiation error caused by factors such as sensor response characteristics, atmospheric scattering and absorption, so that the image brightness value reflects the real reflectivity of the ground object, and the atmospheric correction can remove the scattering and absorption influence of atmospheric molecules and aerosols, and obtain the real reflectivity of the ground surface.

[0066] According to the pre-processed remote sensing satellite data, the target region is divided into built-up areas and non-built-up areas according to the land use type, construction condition data is obtained, low-lying area analysis is performed on the target region based on digital elevation data, and the target region is divided into low-lying areas and non-low-lying areas, terrain condition data is obtained, the target region is divided into first-level partitions based on the land space planning data and the construction condition data, first-level partition results are obtained, and the target region is divided into second-level partitions based on the first-level partition results and the terrain condition data, second-level partition results are obtained.

[0067] To sum up, the application collects planning related data of the target region, and pre-processes the planning related data; wherein the planning related data includes remote sensing satellite data, digital elevation data and land space planning data; according to the remote sensing satellite data, the target region is divided into built-up areas and non-built-up areas according to the land use type, and construction condition data is obtained; based on the digital elevation data, low-lying area analysis is performed on the target region, and the target region is divided into low-lying areas and non-low-lying areas, and terrain condition data is obtained; the target region is divided into first-level partitions based on the land space planning data and the construction condition data, and first-level partition results are obtained; the target region is divided into second-level partitions based on the first-level partition results and the terrain condition data, and second-level partition results are obtained; through multi-source data fusion and hierarchical partition technology, the application performs first-level partition based on land space planning data and construction status, macroscopically coordinates, further second-level partitions combined with terrain data, refines vertical control indicators, coordinates the vertical relationship of multiple factors such as construction, ecology and drainage, and through real-time data updating, supports dynamic optimization of planning scheme, significantly improves the scientificity and implementability of land space planning, and provides solid support for high-quality urban development.

[0068] In an optional implementation, the target region is divided into built-up areas and non-built-up areas according to the land use type based on the remote sensing satellite data, and construction condition data is obtained, including:

[0069] The remote sensing satellite data is color clustered by using a clustering algorithm, and the target region is divided into building land, road land, square land, green land and water system land according to land use types, and the classified raster data is converted into vector data;

[0070] The building land, the road land and the square land are merged into built-up areas;

[0071] The green land and the water system land are merged into non-built-up areas.

[0072] Specifically, the remote sensing satellite data contains multiple spectral bands, and different ground objects have different reflectivities in each band. For example, the reflectivity of water in the near-infrared band is very low, and the reflectivity of vegetation is high. By using K-means, DBSCAN and other algorithms, similar ground objects can be clustered into different categories based on the spectral characteristics of the pixels. For example, by using the K-means clustering algorithm, the RGB color value, spectral reflectivity and other characteristics of the pixels are used as clustering basis to divide the target region into building land, road land, square land, green land and water system land. The initial output of the clustering algorithm is raster data, which needs to be converted into vector data (points, lines and surfaces) for subsequent analysis and planning application. The vector data of the building land, road land and square land are merged into built-up areas, and the vector data of the green land and water system land are merged into non-built-up areas. A "JCQ" field is added to the attribute table of the vector data, and the value "1" is assigned to identify the built-up area, and the value "0" is assigned to identify the non-built-up area.

[0073] In an optional embodiment, the target region is analyzed for low-lying areas based on the digital elevation data, and is divided into low-lying areas and non-low-lying areas to obtain terrain condition data, including:

[0074] The land use data of the water system land is removed from the digital elevation data to obtain land elevation data;

[0075] The land elevation data is analyzed by using a D8 one-way flow algorithm to extract the catchment path, the watershed and the flow outlet, and to obtain the current elevation value of each flow outlet;

[0076] The low-lying areas and the non-low-lying areas of the target region are determined according to the current elevation value.

[0077] Specifically, the water system land itself is a natural catchment area, and its elevation value reflects the depth of the water body rather than the terrain of the land area. Therefore, it needs to be distinguished from the low-lying areas of the land. The land use data of the water system land is removed from the digital elevation data to obtain land elevation data.

[0078] It should be noted that the D8 single flow direction algorithm is a digital terrain analysis algorithm, which can be used to simulate the direction and path of surface runoff, assuming that the water flow of each grid cell only flows to the one with the lowest elevation among the adjacent 8 cells. By calculating the water flow direction of each grid, the catchment path, the watershed and the flow outlet are generated, wherein the catchment path is line data representing the natural flow path of water flow, reflecting the runoff direction, the watershed is face data representing the boundary of different catchment areas, each watershed corresponds to a unique flow outlet, and the flow outlet is point data, which is the lowest elevation point of each watershed, i.e. the position where rainwater finally converges and drains off. After extracting the three types of data, corresponding numbers are assigned to them, such as watershed ID, flow outlet ID and catchment path ID, which are one-to-one corresponding, facilitating subsequent correlation analysis. The grid extraction value to point tool in Arcgis is used to associate the flow outlet point data with the digital elevation data to obtain the current elevation value h1 of each flow outlet. h1 is the natural lowest point of drainage of each watershed. According to the current elevation value h1, the low-lying area and the non-low-lying area of the target area are determined.

[0079] In an optional implementation, the determining of the low-lying area and the non-low-lying area of the target area according to the current elevation value comprises:

[0080] A fishnet grid of a preset length unit is created in each watershed, and the center point of each grid is extracted. The straight-line distance between each center point and the flow outlet corresponding to the watershed is calculated.

[0081] Based on a preset surface runoff slope, the straight-line distance and the current elevation value, a lowest ground elevation value is calculated, wherein the lowest ground elevation value represents the lowest elevation value required for rainwater at the center point to drain to the flow outlet by itself.

[0082] According to the lowest ground elevation value, the low-lying area and the non-low-lying area in the target area are determined.

[0083] Specifically, a fishnet grid of a preset length unit is created in each watershed, for example, a fishnet grid of 1m x 1m can be created. The center point of the grid is extracted as an analysis unit. The straight-line distance L between each center point and the flow outlet of the watershed to which it belongs is calculated. The surface runoff slope is 0.001. The lowest ground elevation value h is calculated. The lowest ground elevation value h represents the lowest ground elevation at which rainwater at a certain center point can flow to the flow outlet by itself. The calculation formula is: h = h1 + L * 0.001.

[0084] It can be understood that, on the basis of the first watershed analysis, sub-watersheds are recursively generated for each watershed, and the above process is repeated to gradually narrow down the analysis unit from large watersheds to small watersheds, and finally 3 iterations are performed to simulate the multi-level catchment relationship in the real terrain, avoid the insufficient accuracy caused by single scale analysis, superimpose the lowest elevation grid data obtained after 3 iterations on the current DEM data, calculate the difference, determine the low-lying area and the non-low-lying area according to the difference, add a "DWQ" field in the attribute table, assign a value of "1" to identify the low-lying area, and assign a value of "0" to identify the non-low-lying area.

[0085] In an optional embodiment, the target region is divided into one-level partitions based on the land space planning data and the construction condition data, and one-level partition results are obtained, including:

[0086] Obtaining one-level partition data and two-level partition data in the land space planning data;

[0087] Using the identification tool of Arcgis to perform overlay analysis on the one-level partition data, the two-level partition data and the construction condition data, and creating a vertical planning one-level partition database;

[0088] Traversing each sub-region in the target region, when the sub-region belongs to the urban development area in the one-level partition data, belongs to the village construction area in the two-level partition data, and the corresponding construction condition data is the built area, the one-level partition result of the sub-region is marked as the built area;

[0089] When the sub-region belongs to the urban development area in the one-level partition data, belongs to the village construction area in the two-level partition data, and the corresponding construction condition data is the non-built area, the one-level partition result of the sub-region is marked as the incremental construction area;

[0090] When the sub-region belongs to the farmland protection area in the one-level partition data, and belongs to the general agricultural area, forestry development area or pastoral development area in the two-level partition data, the one-level partition result of the sub-region is marked as the agricultural area;

[0091] When the sub-region belongs to the ecological control area, the ecological protection area or the marine development area in the one-level partition data, the one-level partition result of the sub-region is marked as the ecological area.

[0092] Specifically, the application takes the "City Land Space Overall Planning Compilation Guide (Trial)" as the benchmark, based on the land space planning first-level partition (6 types) and second-level partition (20 types), superimposes the built-up area (JCQ) and low-lying area (DWQ) data, forms a vertical planning partition system, adds a field "YJFQ" in the first-level partition data attribute table, adds a field "EJFQ" in the second-level partition data attribute table, uses the identification tool in ArcGIS, superimposes the second-level partition data, first-level partition data and built-up area data (JCQ), adds a "JCQ" field to each partition element, and the JCQ value is 1 or 0, representing whether it is a built-up area, to obtain the vertical planning first-level partition database "SXGHYJFQ".

[0093] By using the attribute selection tool in Arcgis, based on the combination of "YJFQ", "EJFQ" and "JCQ" fields, 4 types of vertical planning first-level partitions are divided, and each sub-region in the target area is traversed, when the sub-region meets "YJFQ=urban development area and EJFQ=village construction area and JCQ=1", the first-level partition result is marked as a built-up area, when the sub-region meets "YJFQ=urban development area and EJFQ=village construction area and JCQ=0", the first-level partition result is marked as an incremental construction area, when the sub-region meets "YJFQ=farmland protection area and EJFQ=general agricultural area / forestry development area / pastoral development area", the first-level partition result is marked as an agricultural area, and when the sub-region meets "YJFQ=ecological control area / ecological protection area / sea development area", the first-level partition result is marked as an ecological area, and finally the vertical planning first-level partition vector data is obtained.

[0094] In an optional embodiment, the first-level partition result and the topographic condition data are combined to perform second-level partition on the target area to obtain a second-level partition result, which comprises:

[0095] The vertical planning first-level partition database and the topographic condition data are superimposed and analyzed by using the identification tool of Arcgis to create a vertical planning second-level partition database;

[0096] Each sub-region in the target area is traversed, when the sub-region belongs to the built-up area in the vertical planning first-level partition database and the corresponding topographic condition data is a low-lying area, the second-level partition result is marked as a built-up area low-lying area;

[0097] When the sub-region belongs to the built-up area in the vertical planning first-level partition database and the corresponding topographic condition data is a non-low-lying area, the second-level partition result is marked as a built-up area qualified area;

[0098] when the sub-region belongs to the incremental construction area in the vertical planning primary partition database, and the corresponding topographic condition data is a non-low-lying area, mark the secondary partition result thereof as an incremental construction area up-to-standard area;

[0099] when the sub-region belongs to the incremental construction area in the vertical planning primary partition database, and the corresponding topographic condition data is a non-low-lying area, mark the secondary partition result thereof as an incremental construction area up-to-standard area;

[0100] when the sub-region belongs to the agricultural area or the ecological area in the vertical planning primary partition database, the secondary partition result thereof is the same as the primary partition result.

[0101] Specifically, the vertical planning primary partition database (SXGHYJFQ) and the low-lying area data (DWQ) are superimposed by using the marking tool in ArcGIS, so that each partition element is added with a DWQ field, and the DWQ value is 1 or 0, representing whether it is a low-lying area, to obtain the vertical planning secondary partition database SXGHEJFQ.

[0102] Six types of vertical planning primary partitions are divided based on the combination conditions of the SXGHYJFQ and DWQ fields by using the attribute selection tool in ArcGIS. When the sub-region satisfies SXGHYJFQ=construction area and DWQ=1, mark the primary partition result thereof as a construction area low-lying area; when the sub-region satisfies SXGHYJFQ=construction area and DWQ=0, mark the primary partition result thereof as a construction area up-to-standard area; when the sub-region satisfies SXGHYJFQ=incremental construction area and DWQ=1, mark the primary partition result thereof as an incremental construction area low-lying area; when the sub-region satisfies SXGHYJFQ=incremental construction area and DWQ=0, mark the primary partition result thereof as an incremental construction area up-to-standard area; the ecological area and the agricultural area are mainly protected, and are not further subdivided into low-lying areas, and directly use the primary partition result, to finally obtain the vertical planning secondary partition vector data.

[0103] In a second aspect, an embodiment of the present application provides a land space vertical planning partition device, which is shown in Figure 2 The device includes a data acquisition and processing module 21, a data analysis and processing module 22, a data storage module 23, and a data output module 24.

[0104] As shown in Figure 2 the device includes:

[0105] The data acquisition and processing module 21 is configured to acquire planning related data of a target area and pre-process the planning related data, wherein the planning related data includes remote sensing satellite data, digital elevation data, and land space planning data.

[0106] The construction condition analysis module 22 is configured to divide the target region into built-up areas and non-built-up areas according to land use types based on the remote sensing satellite data, and obtain construction condition data;

[0107] The terrain condition analysis module 23 is configured to perform low-lying area analysis on the target region based on the digital elevation data, divide the target region into low-lying areas and non-low-lying areas, and obtain terrain condition data.

[0108] The first-level planning zoning module 24 is configured to perform first-level zoning on the target region in combination with the national space planning data and the construction condition data, and obtain first-level zoning results.

[0109] The second-level planning zoning module 25 is configured to perform second-level zoning on the target region in combination with the first-level zoning results and the terrain condition data, and obtain second-level zoning results.

[0110] In an optional implementation, the construction condition analysis module 22 is further configured to:

[0111] perform color clustering on the remote sensing satellite data by using a clustering algorithm, divide the target region into building land, road land, square land, green land and water system land according to land use types, and convert the classified raster data into vector data;

[0112] merge the building land, the road land and the square land into built-up areas;

[0113] merge the green land and the water system land into non-built-up areas.

[0114] In an optional implementation, the terrain condition analysis module 23 is further configured to:

[0115] remove land use data of the water system land from the digital elevation data to obtain land elevation data;

[0116] perform analysis on the land elevation data by using a D8 single-direction flow algorithm, extract catchment paths, drainage divides and flow outlets, and obtain current elevation values of each flow outlet;

[0117] determine low-lying areas and non-low-lying areas of the target region according to the current elevation values.

[0118] In an optional implementation, the terrain condition analysis module 23 is further configured to:

[0119] create a fishing net grid of a preset length unit in each drainage divide, extract a center point of each grid, and calculate a straight-line distance between each center point and a flow outlet corresponding to the drainage divide;

[0120] calculating a lowest ground elevation value based on the preset ground surface runoff slope, the straight line distance, and the current elevation value, wherein the lowest ground elevation value represents a lowest elevation value required for rainwater at the center point to drain to the outlet by itself;

[0121] determining a low-lying area and a non-low-lying area in the target area according to the lowest ground elevation value.

[0122] In an optional embodiment, the first-level planning zoning module 24 is further configured to:

[0123] obtain first-level zoning data and second-level zoning data in the national territory space planning data;

[0124] perform overlay analysis on the first-level zoning data, the second-level zoning data, and the construction condition data by using an identification tool of Arcgis to create a vertical planning first-level zoning database;

[0125] traverse each sub-area in the target area, and when a sub-area belongs to an urban development area in the first-level zoning data, belongs to a village construction area in the second-level zoning data, and the corresponding construction condition data is a built-up area, mark the first-level zoning result of the sub-area as a built-up area;

[0126] when a sub-area belongs to an urban development area in the first-level zoning data, belongs to a village construction area in the second-level zoning data, and the corresponding construction condition data is a non-built-up area, mark the first-level zoning result of the sub-area as an incremental construction area;

[0127] when a sub-area belongs to a farmland protection area in the first-level zoning data, and belongs to a general agricultural area, a forestry development area, or a pastoral development area in the second-level zoning data, mark the first-level zoning result of the sub-area as an agricultural area;

[0128] when a sub-area belongs to an ecological control area, an ecological protection area, or a marine development area in the first-level zoning data, mark the first-level zoning result of the sub-area as an ecological area.

[0129] In an optional embodiment, the second-level planning zoning module 25 is further configured to:

[0130] perform overlay analysis on the vertical planning first-level zoning database and the landform condition data by using an identification tool of Arcgis to create a vertical planning second-level zoning database;

[0131] traverse each sub-area in the target area, and when a sub-area belongs to a built-up area in the vertical planning first-level zoning database, and the corresponding landform condition data is a low-lying area, mark the second-level zoning result of the sub-area as a built-up area low-lying area;

[0132] When the sub-region belongs to the built-up area in the vertical planning first-level partition database, and the corresponding topographic condition data is a non-low-lying area, mark the second-level partition result of the sub-region as a built-up area compliance area;

[0133] When the sub-region belongs to the incremental construction area in the vertical planning first-level partition database, and the corresponding topographic condition data is a low-lying area, mark the second-level partition result of the sub-region as an incremental construction area low-lying area;

[0134] When the sub-region belongs to the incremental construction area in the vertical planning first-level partition database, and the corresponding topographic condition data is a non-low-lying area, mark the second-level partition result of the sub-region as an incremental construction area compliance area;

[0135] When the sub-region belongs to the agricultural area or the ecological area in the vertical planning first-level partition database, the second-level partition result of the sub-region is the same as the first-level partition result.

[0136] In a third aspect, an electronic device is provided, referring to Figure 3 as shown in the figure, which is a structural schematic diagram of an electronic device provided by an embodiment of the present application.

[0137] As shown in Figure 3 , the device comprises:

[0138] a memory 31 for storing a computer program;

[0139] a processor 32 for executing the computer program;

[0140] The processor 32 executes the computer program to implement the land space vertical planning partition method according to any one of the above embodiments.

[0141] For example, the computer program can be divided into one or more modules / units, which are stored in the memory 31 and executed by the processor 32 to complete the present application. The one or more modules / units can be a series of computer program instruction segments capable of completing a specific function, which are used to describe the execution process of the computer program in the electronic device.

[0142] The processor 32 can be a central processing unit (CPU), and can also be other general-purpose processors, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware component, etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor.

[0143] The memory 31 can be configured to store the computer program and / or modules, and the processor 32 can realize various functions of the electronic device by running or executing the computer program and / or modules stored in the memory 31 and calling data stored in the memory 31. The memory 31 can mainly include a program storage area and a data storage area, where the program storage area can store an operating system, at least one application program required by a function (such as a sound playing function, an image playing function, etc.), and the like; and the data storage area can store data created based on use of the mobile phone (such as audio data, a phone book, etc.). In addition, the memory 31 can include a high-speed random access memory, and can also include a nonvolatile memory, for example, a hard disk, a memory, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, at least one disk storage device, a flash storage device, or other volatile solid-state storage device.

[0144] It should be noted that the above electronic device includes, but is not limited to, the processor and the memory, and those skilled in the art can understand that the electronic device can further include other components, which will not be described herein. Figure 3 The structural schematic diagram is only an example of the above electronic device, and does not constitute a limitation on the electronic device, and the electronic device can include more components than the diagram, or combine certain components, or different components.

[0145] In a fourth aspect, an embodiment of the present application further provides a computer readable storage medium, the computer readable storage medium stores a computer program, and the computer program is executed to realize the national space vertical planning partition method in any of the above embodiments.

[0146] It should be understood that the present application can realize all or part of the processes in the above-mentioned land space vertical planning partition method, and can also be completed by instructing related hardware through a computer program. The computer program can be stored in a computer readable storage medium, and the computer program can realize the steps of the above-mentioned land space vertical planning partition method when executed by a processor. The computer program includes computer program code, which can be in the form of source code, object code, executable files or some intermediate forms, etc. The computer readable medium can include any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal and software distribution medium, etc.

[0147] In a fifth aspect, the embodiments of the present application further provide a computer program product stored in a storage medium, and the program product is executed by at least one processor to realize the land space vertical planning partition method according to any of the above-mentioned embodiments.

[0148] The above-mentioned is only the preferred embodiment of the present application, but the protection scope of the present application is not limited thereto. It should be pointed out that for those skilled in the art, without departing from the technical principles of the present application, a number of equivalent obvious modification methods and / or equivalent replacement methods can also be made, and these obvious modification methods and / or equivalent replacement methods should also be regarded as the protection scope of the present application.

Claims

1. A method for vertical planning and zoning of national land space, characterized in that: include: Collecting planning-related data of the target area and preprocessing the planning-related data; wherein the planning-related data includes remote sensing satellite data, digital elevation data, and national land space planning data; Dividing the target area into built-up areas and non-built-up areas according to land use type based on the remote sensing satellite data to obtain construction status data; Performing a low-lying area analysis on the target area based on the digital elevation data, dividing the target area into low-lying areas and non-low-lying areas, and obtaining terrain data; Combining the national land space planning data and the construction status data, performing first-level zoning on the target area to obtain a first-level zoning result; Combining the first-level partitioning result and the terrain condition data, the target area is partitioned into second levels to obtain a second-level partitioning result.

2. The method for vertical planning and zoning of national land space according to claim 1, characterized in that: The step of dividing the target area into built-up areas and non-built-up areas according to land use type based on the remote sensing satellite data to obtain construction status data includes: Using a clustering algorithm to perform color clustering on the remote sensing satellite data, dividing the target area into building land, road land, square land, green land and water system land according to land use type, and converting the classified raster data into vector data; Merge the building land, the road land and the square land into a built-up area; The green land and the water land are merged into a non-built-up area.

3. The method for vertical planning and zoning of national land space according to claim 1, characterized in that: The target area is analyzed for low-lying areas based on the digital elevation data, divided into low-lying areas and non-low-lying areas, and terrain data is obtained, including: Eliminating land use data of water system land from the digital elevation data to obtain land elevation data; The D8 unidirectional flow algorithm is used to analyze the land elevation data, extract the watershed path, watershed and outlet, and obtain the current elevation value of each outlet; The low-lying area and the non-low-lying area of ​​the target area are determined according to the current elevation value.

4. The method for vertical planning and zoning of national land space according to claim 3, characterized in that: Determining the low-lying area and the non-low-lying area of ​​the target area according to the current elevation value includes: Creating a fishing net grid of a preset length unit within each watershed, extracting the center point of each grid, and calculating the straight-line distance between each center point and the outlet corresponding to the watershed; Based on the preset surface runoff slope, the straight-line distance, and the current elevation value, a minimum ground elevation value is calculated; wherein the minimum ground elevation value represents the minimum elevation value required for rainwater at the center point to drain to the outflow outlet on its own; According to the lowest ground elevation value, low-lying areas and non-low-lying areas in the target area are determined.

5. The method for vertical planning and zoning of national land space according to claim 1, characterized in that: The target area is divided into first-level zones by combining the national land space planning data and the construction status data to obtain first-level zone results, including: Obtaining the primary zoning data and the secondary zoning data in the national land space planning data; Using Arcgis's identification tool to perform overlay analysis on the first-level zoning data, the second-level zoning data, and the construction status data, to create a vertical planning first-level zoning database; Traversing each sub-region in the target region, when the sub-region belongs to the urban development zone in the first-level partitioning data and belongs to the village construction zone in the second-level partitioning data, and the corresponding construction status data is a built-up area, marking its first-level partitioning result as a built-up area; When a sub-region belongs to an urban development zone in the first-level zoning data and a village construction zone in the second-level zoning data, and the corresponding construction status data is a non-built-up area, its first-level zoning result is marked as an incremental construction zone; When a sub-region belongs to a farmland protection zone in the first-level zoning data and belongs to a general agricultural zone, a forestry development zone, or an animal husbandry development zone in the second-level zoning data, its first-level zoning result shall be marked as an agricultural zone; When a sub-region belongs to an ecological control zone, an ecological protection zone or a marine development zone in the first-level zoning data, its first-level zoning result is marked as an ecological zone.

6. The method for vertical planning and zoning of national land space according to claim 5, characterized in that: Combining the first-level partitioning result and the terrain condition data to perform second-level partitioning on the target area to obtain the second-level partitioning result includes: Using Arcgis's identification tool, the vertical planning first-level zoning database and the terrain condition data are overlaid and analyzed to create a vertical planning second-level zoning database; Traversing each sub-area in the target area, when the sub-area belongs to the built-up area in the vertical planning first-level zoning database and the corresponding terrain condition data is a low-lying area, marking its second-level zoning result as a low-lying area in the built-up area; When a sub-area belongs to a built-up area in the vertical planning first-level zoning database and the corresponding terrain data is a non-low-lying area, its second-level zoning result is marked as a built-up area meeting the standards; When a sub-area belongs to an incremental construction area in the vertical planning first-level zoning database, and the corresponding terrain data is a low-lying area, its second-level zoning result is marked as a low-lying area in the incremental construction area; When a sub-area belongs to an incremental construction area in the vertical planning first-level zoning database, and the corresponding terrain data is a non-low-lying area, its second-level zoning result is marked as an incremental construction area that meets the standards; When a sub-region belongs to an agricultural area or an ecological area in the vertical planning first-level zoning database, its second-level zoning result is the same as the first-level zoning result.

7. A device for vertical planning and zoning of national land space, characterized in that: include: A data acquisition and processing module is used to collect planning-related data of the target area and pre-process the planning-related data; wherein the planning-related data includes remote sensing satellite data, digital elevation data and national land space planning data; A construction status analysis module is used to divide the target area into built-up areas and non-built-up areas according to land use type based on the remote sensing satellite data, and obtain construction status data; A terrain condition analysis module is used to perform low-lying area analysis on the target area based on the digital elevation data, divide the target area into low-lying areas and non-low-lying areas, and obtain terrain condition data; A first-level planning zoning module is used to combine the national land space planning data and the construction status data to perform first-level zoning on the target area and obtain a first-level zoning result; The secondary planning zoning module is used to combine the primary zoning result and the terrain condition data to perform secondary zoning on the target area to obtain a secondary zoning result.

8. An electronic device, characterized in that: include: Memory for storing computer programs; a processor for executing the computer program; Wherein, when the processor executes the computer program, it implements the national land space vertical planning zoning method as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, which, when executed, implements the method for vertical planning and zoning of national land space as described in any one of claims 1 to 6.

10. A computer program product, characterized in that It includes computer instructions, which, when executed by a processor, implement the national land space vertical planning zoning method as described in any one of claims 1 to 6.

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