A blue-green infrastructure mapping classification method and related apparatus

Abstract

This invention discloses a blue-green infrastructure mapping and classification method and related apparatus, relating to the field of computer technology. The method includes: generating a new reservoir layer and a first residual water body layer based on original water body layer data, water patch layer data, and point-of-interest layer data; generating a new river layer and a second residual water body layer based on the first residual water body layer and water patch layer data; generating a new lake layer and a new pond layer based on the second residual water body layer and multi-element patch layer data; generating a blue-green space layer based on land cover raster layer data and the above layers; performing land cover type area ratio analysis based on the blue-green space layer using field statistics; performing primary classification using the BGI classification framework based on the land cover type area ratio information; and performing blue-green space classification based on the primary classification results using the BGI classification framework. This invention improves the completeness and feasibility of BGI mapping and classification.

Description

Technical Field

[0001] This invention relates to the field of computer technology, and in particular to a method and apparatus for mapping and classifying blue-green infrastructure. Background Technology

[0002] Today, global urban environments face the dual pressures of climate change and human activities. Among these, the environmental impacts, such as thermal environmental problems caused by urban climate change and water environmental problems caused by combined flooding, are particularly significant. To address these challenges, nature-based solutions are receiving increasing attention. Green infrastructure is a key vehicle for implementing nature-based solutions and building sponge cities during urban development. It possesses enormous ecological, economic, and social benefits and is an important material foundation for sustainable urban environmental development.

[0003] However, the traditional concept of green infrastructure focuses on green spaces and lacks sufficient integration of blue elements such as water bodies. In reality, green infrastructure encompasses both blue and green spaces, coupling scientific research and engineering applications, and balancing natural resource and environmental benefits with socio-cultural benefits. It is a key concept and practical method for addressing urban climate change and ecological environment changes. Therefore, the research and engineering fields have further developed the concept of blue-green infrastructure, which more comprehensively summarizes and coordinates the integrated ecological service functions of green space and water systems, especially in mitigating urban flooding and improving the water environment. Although the importance of blue-green infrastructure is widely recognized, several problems remain in its research and engineering applications. There is no single definition or unified classification method for blue-green infrastructure, making research comparison and experience sharing difficult. Rapid mapping and specific classification techniques for blue-green infrastructure need to be integrated, and existing classifications of blue-green infrastructure components are incomplete. These problems significantly restrict the scientific research and technological application of blue-green infrastructure in addressing urban environmental issues. Summary of the Invention

[0004] The purpose of this invention is to overcome the shortcomings of the prior art. This invention provides a blue-green infrastructure mapping and classification method and related apparatus, which improves the operability of blue-green infrastructure spatial classification mapping and enhances the recognition accuracy and feasibility of blue-green infrastructure classification.

[0005] To address the aforementioned technical problems, this invention provides a blue-green infrastructure mapping and classification method, the method comprising:

[0006] Acquire land cover raster layer data, point of interest layer data, water body patch layer data, and multi-feature patch layer data, and extract the original water body layer data based on the land cover raster layer data;

[0007] Based on the original water body layer data, water body patch layer data, and point of interest layer data, layer analysis is performed to obtain a new reservoir layer and a first remaining water body layer.

[0008] Based on the data of the first remaining water body layer and the water patch layer, the intersection tool is used to draw layers to obtain a new river layer and a second remaining water body layer.

[0009] Layer drawing is performed based on the second remaining water body layer and multi-element patch layer data to obtain a new lake layer and a new pit and pond layer. A blue-green space layer is generated based on the land cover raster layer data, the new reservoir layer, the new river layer, the new lake layer, and the new pit and pond layer.

[0010] Based on the blue-green space layer, field statistics are used to analyze the area ratio of land cover types and obtain information on the area ratio of land cover types.

[0011] Based on the land cover type area ratio information, a primary classification is performed using the Blue-Green Infrastructure (BGI) classification framework to obtain the primary classification result. Then, based on the primary classification result, the BGI classification framework is used to perform blue-green space classification to obtain the blue-green space classification result.

[0012] Optionally, the step of performing layer analysis based on the original water body layer data, water patch layer data, and point of interest layer data to obtain a new reservoir layer and a first remaining water body layer includes:

[0013] The first reservoir layer is generated using the intersection tool based on the original water body layer data and the water body patch layer data.

[0014] Based on the original water body layer data and the point of interest layer data, a second reservoir layer is generated using an intersection tool. The first reservoir layer and the second reservoir layer are then merged to obtain a new reservoir layer.

[0015] The overlapping and erasing processes of the new reservoir layer and the original water body layer data are performed to obtain the first remaining water body layer.

[0016] Optionally, the step of using an intersection tool to draw layers based on the first remaining water body layer and the water patch layer data to obtain a new river layer and a second remaining water body layer includes:

[0017] Based on the first remaining water body layer and water patch layer data, the intersection tool is used to determine the intersecting water patches of the layers, and a new river layer is determined based on the water patches;

[0018] The new river layer and the first remaining water layer are overlapped and erased to obtain the second remaining water layer.

[0019] Optionally, the step of drawing layers based on the second remaining water body layer and multi-feature patch layer data to obtain new lake layers and new pond layers includes:

[0020] Based on the second remaining water body layer and the multi-feature patch layer data, the intersection tool is used to draw layers according to the preset type to obtain a new lake layer;

[0021] The second remaining water layer and the new lake layer are overlapped and erased to obtain a third remaining water layer, and a new pond layer is determined based on the third remaining water layer.

[0022] Optionally, the step of performing land cover type area ratio analysis based on the blue-green spatial layer using field statistics to obtain land cover type area ratio information includes:

[0023] Obtain the water catchment area layer and assign field numbers to the water catchment area layer to obtain the field number information corresponding to the water catchment area layer;

[0024] Based on the blue-green space layer, the catchment area layer, and the field number information corresponding to the catchment area layer, the land cover type area ratio analysis is performed using field statistics to obtain land cover type area ratio information.

[0025] Optionally, the step of performing land cover type area ratio analysis based on the blue-green space layer, the catchment area layer, and the field number information corresponding to the catchment area layer, and obtaining land cover type area ratio information, includes:

[0026] Based on the blue-green space layer and the water catchment area layer, the blue-green space type analysis was performed using intersection tabulation to obtain blue-green space type information;

[0027] Based on the blue-green space layer and the water catchment area layer, the area ratio of the blue-green space is analyzed by using intersection tabulation to obtain the area ratio information, and a first table is generated based on the blue-green space type information and the area ratio information.

[0028] The connection field is determined based on the field number information corresponding to the water catchment layer. The proportion of the area of ​​various land cover types to the area of ​​the water catchment is calculated based on the connection field and the first table. The first field is determined based on the proportion information.

[0029] The field calculator is used to statistically analyze the blue space field, green space field, and blue-green space field of the water catchment area layer, and the land cover type area ratio information is determined based on the first field, the blue space field, the green space field, and the blue-green space field.

[0030] Optionally, the step of performing a primary classification based on the land cover type area ratio information using the Blue-Green Infrastructure (BGI) classification framework to obtain a primary classification result, and then performing blue-green spatial classification based on the primary classification result using the BGI classification framework to obtain a blue-green spatial classification result, includes:

[0031] Based on the BGI classification framework, a first-level classification threshold is extracted, and the land cover type area ratio information is compared with the first-level classification threshold to obtain a first comparison result.

[0032] Based on the first comparison result, a primary classification is performed to obtain a primary classification result, which includes impermeable, mixed, permeable, and water body categories.

[0033] Based on the BGI classification framework, a secondary classification threshold is extracted. Based on the primary classification result, the land cover type area ratio information is compared with the secondary classification threshold to obtain a second comparison result.

[0034] Based on the second comparison result, blue-green space classification is performed to obtain the blue-green space classification result.

[0035] In addition, the present invention also provides a blue-green infrastructure mapping and classification device, the device comprising:

[0036] Layer data acquisition module: used to acquire land cover raster layer data, point of interest layer data, water body patch layer data and multi-element patch layer data, and extract the original water body layer data based on the land cover raster layer data;

[0037] First layer drawing module: used to perform layer analysis based on the original water body layer data, water body patch layer data, and point of interest layer data to obtain a new reservoir layer and a first remaining water body layer;

[0038] The second layer drawing module is used to draw layers based on the first remaining water body layer and the water patch layer data using the intersection tool to obtain a new river layer and a second remaining water body layer.

[0039] The third layer drawing module is used to draw layers based on the second remaining water body layer and multi-element patch layer data, to obtain new lake layers and new pond layers, and to generate blue-green space layers based on the land cover raster layer data, new reservoir layer, new river layer, new lake layer and new pond layer.

[0040] Area ratio analysis module: used to perform land cover type area ratio analysis based on the blue-green space layer using field statistics, and obtain land cover type area ratio information;

[0041] Classification module: Used to perform primary classification based on the area ratio information of the land cover type using the blue-green infrastructure BGI classification framework to obtain the primary classification result, and to perform blue-green space classification based on the primary classification result using the BGI classification framework to obtain the blue-green space classification result.

[0042] In addition, the present invention also provides an electronic device, the electronic device including a processor and a memory, the memory being used to store instructions, and the processor being used to call the instructions in the memory, so that the electronic device executes the above-described blue-green infrastructure mapping and classification method.

[0043] In addition, the present invention provides a computer-readable storage medium that stores computer instructions that, when executed on an electronic device, cause the electronic device to perform the above-described blue-green infrastructure mapping and classification method.

[0044] In this embodiment of the invention, layer analysis is performed based on the original water body layer data, water patch layer data, and point of interest layer data to obtain a new reservoir layer and a first residual water body layer. Layer drawing is then performed using an intersection tool based on the first residual water body layer and water patch layer data to obtain a new river layer and a second residual water body layer. Layer drawing is then performed based on the second residual water body layer and multi-element patch layer data to obtain a new lake layer and a new pond layer. A blue-green space layer is generated based on the land cover raster layer data, the new reservoir layer, the new river layer, the new lake layer, and the new pond layer, comprehensively considering the common blue spaces in urban watersheds and improving the operability of blue-green infrastructure spatial classification mapping. Based on the blue-green space layer, field statistics are used to analyze the area ratio of land cover types, obtaining land cover type area ratio information. Based on the land cover type area ratio information, a BGI classification framework is used for primary classification. Based on the primary classification results, the BGI classification framework is used for blue-green space classification, improving the accuracy and feasibility of BGI classification and demonstrating the interpretability of urban BGI types for urban flooding risk. Attached Figure Description

[0045] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0046] Figure 1 This is a flowchart illustrating the blue-green infrastructure mapping and classification method in an embodiment of the present invention.

[0047] Figure 2This is a flowchart illustrating a blue-green infrastructure mapping and classification method according to another embodiment of the present invention.

[0048] Figure 3 This is a schematic diagram of the structural composition of the blue-green infrastructure mapping and classification device in an embodiment of the present invention;

[0049] Figure 4 This is a schematic diagram of the structural composition of the electronic device in an embodiment of the present invention;

[0050] Figure 5 This is an example diagram of BGI spatial mapping classification of the study area in an embodiment of the present invention. Detailed Implementation

[0051] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0052] Example 1

[0053] Please see Figure 1 , Figure 1 This is a flowchart illustrating the blue-green infrastructure mapping and classification method in an embodiment of the present invention. The method includes:

[0054] S11: Obtain land cover raster layer data, point of interest layer data, water body patch layer data, and multi-element patch layer data, and extract the original water body layer data based on the land cover raster layer data;

[0055] In the specific implementation of this invention, land cover raster layer data, point of interest layer data, water body patch layer data, and multi-element patch layer data are acquired, and the original water body layer data is extracted based on the land cover raster layer data to provide sufficient data support for subsequent layer drawing.

[0056] S12: Based on the original water body layer data, water body patch layer data, and point of interest layer data, perform layer analysis to obtain a new reservoir layer and a first remaining water body layer;

[0057] In the specific implementation of this invention, a first reservoir layer is generated using an intersection tool based on the original water body layer data and water patch layer data; a second reservoir layer is generated using an intersection tool based on the original water body layer data and point of interest layer data; the first reservoir layer and the second reservoir layer are merged to obtain a new reservoir layer; the overlap of the new reservoir layer and the original water body layer data is erased to obtain a first remaining water body layer, successfully separating the reservoir from the natural water body. This is a key step in distinguishing between natural assets and artificial infrastructure.

[0058] S13: Based on the data of the first remaining water body layer and the water patch layer, use the intersection tool to draw layers to obtain a new river layer and a second remaining water body layer;

[0059] In the specific implementation of this invention, based on the first remaining water body layer and the water patch layer data, the intersection tool is used to determine the intersecting water patches of the layers, and a new river layer is determined based on the water patches; the new river layer and the first remaining water body layer are subjected to overlap erasure processing to obtain the second remaining water body layer, and professional water patch data is used to correct the jagged boundaries that may exist in the raster extraction data, making the river layer smoother and more accurate.

[0060] S14: Based on the second remaining water body layer and multi-element patch layer data, perform layer drawing to obtain a new lake layer and a new pit and pond layer, and generate a blue-green space layer based on the land cover raster layer data, the new reservoir layer, the new river layer, the new lake layer, and the new pit and pond layer;

[0061] In the specific implementation of this invention, based on the second remaining water body layer and the multi-element patch layer data, the intersection tool is used to draw layers according to a preset type to obtain a new lake layer; the second remaining water body layer and the new lake layer are subjected to overlap erasure processing to obtain a third remaining water body layer, and a new pit and pond layer is determined based on the third remaining water body layer. Based on the land cover raster layer data, the new reservoir layer, the new river layer, the new lake layer, and the new pit and pond layer, a blue-green space layer is generated, forming a layer containing all ecological elements, providing a unified spatial data framework for subsequent statistical analysis and planning evaluation.

[0062] S15: Based on the blue-green space layer, perform field statistics to analyze the area ratio of land cover types and obtain information on the area ratio of land cover types;

[0063] In the specific implementation of this invention, a catchment area layer is obtained, and the field numbering of the catchment area layer is performed to obtain the field numbering information corresponding to the catchment area layer; based on the blue-green space layer, the catchment area layer and the field numbering information corresponding to the catchment area layer, the land cover type area ratio analysis is performed using field statistics to obtain the land cover type area ratio information, transforming the abstract spatial graphics into specific quantitative indicators, making the ecological status measurable and comparable.

[0064] S16: Based on the land cover type area ratio information, perform primary classification using the blue-green infrastructure BGI classification framework to obtain primary classification results, and then perform blue-green space classification using the BGI classification framework based on the primary classification results to obtain blue-green space classification results.

[0065] In the specific implementation of this invention, a first-level classification threshold is extracted based on the Blue-green Infrastructure (BGI) classification framework. The area ratio information of the land cover type is compared with the first-level classification threshold to obtain a first comparison result. Based on the first comparison result, a first-level classification is performed to obtain a first-level classification result, which includes impervious, mixed, permeable, and water body types. A second-level classification threshold is extracted based on the BGI classification framework. Based on the first-level classification result, the area ratio information of the land cover type is compared with the second-level classification threshold to obtain a second comparison result. Based on the second comparison result, blue-green space is classified to obtain a blue-green space classification result. A hierarchical classification method with controlled thresholds and comprehensive consideration is designed, which improves the recognition rate and feasibility of urban BGI types and demonstrates the interpretability of urban BGI types for urban flooding risk.

[0066] In this embodiment of the invention, layer analysis is performed based on the original water body layer data, water patch layer data, and point of interest layer data to obtain a new reservoir layer and a first residual water body layer. Layer drawing is then performed using an intersection tool based on the first residual water body layer and water patch layer data to obtain a new river layer and a second residual water body layer. Layer drawing is then performed based on the second residual water body layer and multi-element patch layer data to obtain a new lake layer and a new pond layer. A blue-green space layer is generated based on the land cover raster layer data, the new reservoir layer, the new river layer, the new lake layer, and the new pond layer, comprehensively considering the common blue spaces in urban watersheds and improving the operability of blue-green infrastructure spatial classification mapping. Based on the blue-green space layer, field statistics are used to analyze the area ratio of land cover types, obtaining land cover type area ratio information. Based on the land cover type area ratio information, a BGI classification framework is used for primary classification. Based on the primary classification results, the BGI classification framework is used for blue-green space classification, improving the accuracy and feasibility of BGI classification and demonstrating the interpretability of urban BGI types for urban flooding risk.

[0067] Example 2

[0068] Please see Figure 2 , Figure 2 This is a flowchart illustrating a blue-green infrastructure mapping and classification method according to another embodiment of the present invention, the method comprising:

[0069] S201: Acquire land cover raster layer data, point of interest layer data, water body patch layer data, and multi-element patch layer data, and extract the original water body layer data based on the land cover raster layer data;

[0070] In the specific implementation of this invention, land cover raster layer data, point of interest (POI) layer data, water body patch layer data, and multi-element patch layer data are acquired. Based on the land cover raster layer data, the original water body layer data is extracted. Land cover raster layer data at a specific time point is obtained and extracted according to the study area. Existing publicly available land cover datasets cover types such as cultivated land, forest land, shrubland, grassland, water bodies, and impervious surfaces, and can be used directly. Green spaces include forest land, shrubland, and grassland. Based on the comprehensiveness and completeness of the BGI type, common blue spaces in cities are further classified, including rivers, reservoirs, lakes (water bodies within parks and scenic spots), and ponds. The water body patch layer obtained from the land cover raster layer data is the original water body layer. Points of Interest (POI) layers, water body patch layers, and multi-element patch layers for the study area are obtained through publicly available maps.

[0071] S202: Based on the original water body layer data, water body patch layer data, and point of interest layer data, perform layer analysis to obtain a new reservoir layer and a first remaining water body layer;

[0072] In the specific implementation of this invention, the step of performing layer analysis based on the original water body layer data, water patch layer data, and point of interest layer data to obtain a new reservoir layer and a first remaining water body layer includes: generating a first reservoir layer using an intersection tool based on the original water body layer data and water patch layer data; generating a second reservoir layer using an intersection tool based on the original water body layer data and point of interest layer data; merging the first reservoir layer and the second reservoir layer to obtain a new reservoir layer; and performing overlap erasure processing on the new reservoir layer and the original water body layer data to obtain the first remaining water body layer.

[0073] Specifically, based on the original water body layer data and the water patch layer data, the intersection tool is used to generate the first reservoir layer. The original water body layer and the water patch layer (only reservoir type is selected) are input. The intersection tool is used to obtain the water patch where the two layers intersect. The output is the new reservoir 1 layer, which is the first reservoir layer. The intersection tool is specifically the intersection tool in ArcGIS Pro software, which is used to calculate the geometric intersection of the input features.

[0074] Based on the original water body layer data and point of interest (POI) layer data, a second reservoir layer is generated using the intersection tool. The original water body layer and the POI layer are input (only reservoir types are selected). The water body patches that intersect with the point layer are obtained using the intersection tool, and the output is the new reservoir 2 layer, which is the second reservoir layer. The first reservoir layer and the second reservoir layer are merged. The new reservoir 1 layer and the new reservoir 2 layer are input. The two layers are merged using the union tool to obtain the new reservoir layer.

[0075] The overlapping data of the new reservoir layer and the original water body layer are erased to obtain the first remaining water body layer. The original water body layer and the new reservoir layer are input, and the overlapping part of the original water body layer with the new reservoir layer is removed by the erasure tool. The remaining layer is the remaining water body 1 layer, which is the first remaining water body layer. The erasure process can also be performed using ArcGIS Pro software. The overlapping geometry between the input features and the eraser feature parameter values ​​will be removed by the erasure tool.

[0076] S203: Based on the data of the first remaining water body layer and the water patch layer, use the intersection tool to draw layers to obtain a new river layer and a second remaining water body layer;

[0077] In a specific implementation of the present invention, the step of using an intersection tool to draw layers based on the first remaining water body layer and the water patch layer data to obtain a new river layer and a second remaining water body layer includes: using an intersection tool to determine the intersecting water patches based on the first remaining water body layer and the water patch layer data, and determining a new river layer based on the water patches; and performing overlap erasure processing on the new river layer and the first remaining water body layer to obtain the second remaining water body layer.

[0078] Specifically, based on the first remaining water body layer and the water patch layer data, the intersection tool is used to determine the intersecting water patches of the layers, and a new river layer is determined based on the water patches. The first remaining water body layer and the water patch layer (only river type is selected) are input, and the water patches of the two layers are obtained through the intersection tool, and the new river layer is output.

[0079] The overlapping and erasing processes of the new river layer and the first remaining water layer are performed to obtain the second remaining water layer. The first remaining water layer and the new river layer are input, and the overlapping part of the first remaining water layer with the new river layer is removed by the erasing tool. The remaining layer is the remaining water layer 2, which is the second remaining water layer.

[0080] S204: Based on the second remaining water body layer and multi-element patch layer data, perform layer drawing to obtain a new lake layer and a new pit and pond layer, and generate a blue-green space layer based on the land cover raster layer data, the new reservoir layer, the new river layer, the new lake layer, and the new pit and pond layer;

[0081] In the specific implementation of this invention, the step of drawing layers based on the second remaining water body layer and the multi-element patch layer data to obtain a new lake layer and a new pond layer includes: drawing layers based on the second remaining water body layer and the multi-element patch layer data using an intersection tool according to a preset type to obtain a new lake layer; performing overlap erasure processing on the second remaining water body layer and the new lake layer to obtain a third remaining water body layer, and determining a new pond layer based on the third remaining water body layer.

[0082] Specifically, based on the second remaining water body layer and the multi-element patch layer data, the intersection tool is used to draw layers according to the preset type to obtain a new lake layer. The second remaining water body layer and the multi-element patch layer (only the park type is selected) are input, and the water body patches at the intersection of the two layers are obtained through the intersection tool and output as a new lake layer.

[0083] The second remaining water layer and the new lake layer are overlapped and erased to obtain the third remaining water layer. Based on the third remaining water layer, the new pit layer is determined. The second remaining water layer and the new lake layer are input. Using the erase tool, the part of the second remaining water layer that overlaps with the new lake layer is removed. The remaining layer is the third remaining water layer, which is the new pit layer. The classification of the blue space is now complete.

[0084] A blue-green space layer is generated based on the land cover raster layer data, the new reservoir layer, the new river layer, the new lake layer, and the new pond layer. The forest map layer, shrub map layer, grassland layer, and impermeable surface layer in the land cover raster layer data, as well as the new river layer, the new reservoir layer, the new lake layer, and the new pond layer, are input. These layers are merged using a union tool to output the blue-green space layer.

[0085] S205: Based on the blue-green space layer, perform field statistics to analyze the area ratio of land cover types and obtain land cover type area ratio information;

[0086] In the specific implementation of this invention, the step of performing land cover type area ratio analysis based on the blue-green space layer using field statistics to obtain land cover type area ratio information includes: obtaining a catchment area layer and assigning field numbers to the catchment area layer to obtain the field number information corresponding to the catchment area layer; and performing land cover type area ratio analysis based on the blue-green space layer, the catchment area layer, and the field number information corresponding to the catchment area layer using field statistics to obtain land cover type area ratio information.

[0087] Specifically, the water catchment area layer is obtained, and the water catchment area layer is assigned a field number to obtain the field number information corresponding to the water catchment area layer. The water catchment area layer in the study area at a certain time point is obtained, and a number field is added to the attribute table to assign a sequential and unique number to each water catchment area patch in the layer.

[0088] Based on the field numbering information corresponding to the blue-green space layer, the catchment area layer, and the catchment area layer, the land cover type area ratio analysis is performed using field statistics to obtain land cover type area ratio information. The corresponding fields are statistically analyzed using the statistically analyzed fields to perform the land cover type area ratio analysis.

[0089] Furthermore, the step of performing land cover type area ratio analysis based on the field numbering information corresponding to the blue-green space layer, the catchment area layer, and the corresponding field numbering information to obtain land cover type area ratio information includes: performing blue-green space type analysis based on the blue-green space layer and the catchment area layer using intersection tabulation to obtain blue-green space type information; performing blue-green space area ratio analysis based on the blue-green space layer and the catchment area layer using intersection tabulation to obtain area ratio information, and generating a first table based on the blue-green space type information and area ratio information; determining a connection field based on the field numbering information corresponding to the catchment area layer, statistically analyzing the ratio information of various land cover types to the catchment area based on the connection field and the first table, and determining a first field based on the ratio information; statistically analyzing the blue space field, green space field, and blue-green space field of the catchment area layer using a field calculator, and determining the land cover type area ratio information based on the first field, the blue space field, the green space field, and the blue-green space field.

[0090] Specifically, based on the blue-green space layer and the catchment area layer, intersection tabulation is used to perform blue-green space type analysis to obtain blue-green space type information. The catchment area is used as the regional feature layer, and the blue-green space layer is used as the classification layer. The intersection tabulation tool is used to calculate which blue-green space types are included in each catchment area.

[0091] Based on the blue-green space layer and the catchment area layer, the area ratio of blue-green space is analyzed using intersection tabulation to obtain area ratio information. Based on the blue-green space type information and area ratio information, a first table is generated. The catchment area is used as the regional feature layer, and the blue-green space layer is used as the classification layer. Using the intersection tabulation tool, the area and ratio of blue-green space in each catchment area are calculated, and the first table is output. The table includes the following fields: catchment area number, blue-green space type, area, and ratio.

[0092] The connection field is determined based on the field number information corresponding to the catchment area layer. Based on the connection field and the first table, the proportion of various land cover types in the catchment area is calculated. Based on the proportion information, the first field is determined. Using the connection tool, with the catchment area number as the connection field, the table data is imported into the attribute table of the catchment area layer, so that the layer has 8 fields: woodland, shrubland, grassland, river, reservoir, lake, pond, and impermeable surface. These fields are the first field, and the field contains the proportion of various land cover types in the catchment area.

[0093] The field calculator is used to statistically analyze the blue space field, green space field, and blue-green space field of the catchment area layer. Based on the first field, the blue space field, the green space field, and the blue-green space field, the land cover type area ratio information is determined, and three new fields are added to the catchment area layer: green space, blue space, and blue-green space. The field calculator tool is used to calculate that the green space field is the percentage of the sum of the areas of forest land, shrubland, and grassland to the catchment area; the blue space field is the percentage of the sum of the areas of rivers, reservoirs, lakes, and ponds to the catchment area; and the blue-green space field is the percentage of the sum of the blue space and green space to the catchment area. These fields combined are the land cover type area ratio information.

[0094] S206: Extract a primary classification threshold based on the BGI classification framework, compare the land cover type area ratio information with the primary classification threshold, and obtain a first comparison result;

[0095] In the specific implementation of this invention, a first-level classification threshold is extracted based on the BGI classification framework. The first-level classification threshold is the threshold for various classifications. The land cover type area ratio information is compared with the first-level classification threshold to obtain a first comparison result. The area ratio of impermeable surface in the land cover type area ratio information is compared with the first-level classification threshold, and the final classification is determined by the comparison result.

[0096] S207: Based on the first comparison result, perform a primary classification to obtain a primary classification result, which includes impermeable, mixed, permeable, and water body categories;

[0097] In the specific implementation of this invention, a primary classification is performed based on the first comparison result to obtain a primary classification result. This primary classification result includes impermeable, mixed, permeable, and water body categories. The primary classification of BGI is constructed based on the area ratio of the impermeable surface. If the impermeable surface ratio is ≥75%, it is classified as impermeable (IM). If the impermeable surface ratio is 25% ≤ impermeable surface ratio <75%, it is classified as mixed (MX). If the impermeable surface ratio is <25% and the green space is ≥ the blue space, it is classified as permeable (PV). If the impermeable surface ratio is <25% and the green space is < the blue space, it is classified as water body (AQ).

[0098] S208: Extract a secondary classification threshold based on the BGI classification framework, and compare the land cover type area ratio information with the secondary classification threshold based on the primary classification result to obtain a second comparison result;

[0099] In the specific implementation of this invention, a secondary classification threshold is extracted based on the BGI classification framework. Based on the primary classification result, the land cover type area ratio information is compared with the secondary classification threshold to obtain a second comparison result. The secondary classification threshold is a subdivision threshold under the primary classification. Based on the primary classification result, the land cover type area ratio information is compared with the secondary classification threshold, and the subdivision secondary classification is determined by the obtained comparison result.

[0100] S209: Based on the second comparison result, perform blue-green space classification to obtain the blue-green space classification result.

[0101] In the specific implementation of this invention, blue-green space classification is performed based on the second comparison result to obtain the blue-green space classification result.

[0102] Within the impermeable category (primary category), secondary categories are set up.

[0103] If the impermeable area accounts for ≥90%, it is judged as highly impermeable (IM1); if the green space area is not equal to 0 and the blue space area is 0, or if both the green and blue space areas are not equal to 0 and the ratio of the green space area to the blue space area is ≥1.5, it is judged as mostly impermeable (mainly containing green space) (IM2); if the green space area is 0 and the blue space area is not equal to 0, or if both the green and blue space areas are not equal to 0 and the ratio of the blue space area to the green space area is ≥1.5, it is judged as mostly impermeable (mainly containing blue space) (IM3); if it does not belong to the above secondary categories in the primary category of impermeability, it is judged as mostly impermeable (including blue-green space) (IM4).

[0104] In the mixed category (first-level category), set up a second-level category.

[0105] If the impermeable area accounts for less than 50%, the following judgment method shall be applied: if the ratio of forest area to blue-green space area is ≥0.5 and the green space area is ≥ the impermeable area, it shall be judged as mixed forest (including impermeable) type (MX1); if the ratio of river area to blue-green space area is ≥0.5 and the blue space area is ≥ the impermeable area, it shall be judged as mixed river (including impermeable) type (MX2).

[0106] For those not belonging to MX1 or MX2, the following judgment method shall be applied: If the area of ​​a reservoir is greater than the area of ​​every type of blue-green space except for reservoirs, it shall be judged as a reservoir distribution type (AQ2); if the area of ​​a lake is greater than the area of ​​every type of blue-green space except for lakes, it shall be judged as a lake distribution type (AQ3); if the area of ​​a pit or pond is greater than the area of ​​every type of blue-green space except for pit or pond, it shall be judged as a pit or pond distribution type (AQ3); if it does not belong to AQ2, AQ3, or AQ4, it shall be judged as a mixed blue-green space (including impermeable) type (MX3).

[0107] If the impermeable area accounts for ≥50%, the following judgment method shall be applied: If the green space area ≠ 0 and the blue space area = 0, or if the green and blue space areas are both ≠ 0 and the ratio of the green space area to the blue space area is ≥1.5, it shall be judged as a mixed surface (mainly containing green space) type (MX4); if the green space area = 0 and the blue space area ≠ 0, or if the green and blue space areas are both ≠ 0 and the ratio of the blue space area to the green space area is ≥1.5, it shall be judged as a mixed surface (mainly containing blue space) type (MX5); if it does not belong to MX4 or MX5, it shall be judged as a mixed surface (containing blue and green space) type (MX6).

[0108] Within the permeable category (primary category), secondary categories are set up.

[0109] If the forest area accounts for ≥90%, it is classified as a high-altitude forest type (PV1); if 75% ≤ forest area < 90%, it is classified as a predominantly forest type (PV2); if the area of ​​grassland and shrubland is not equal to 0 and the sum of the proportions of grassland and shrubland is ≥5%, it is classified as a mixed forest (including grassland and shrubland) type (PV3). For areas that do not belong to PV1, PV2, or PV3, the following judgment method is applied: if the proportion of blue space is ≥5%, it is classified as a mixed blue-green space (PV4); otherwise, it is classified as a mixed green space (PV5).

[0110] Within the water body category (primary classification), secondary classifications are established.

[0111] If the ratio of river area to blue space area is ≥0.5, it is classified as river distribution type (AQ1); if the ratio of reservoir area to blue space area is ≥0.5, it is classified as reservoir distribution type (AQ2); if the ratio of lake area to blue space area is ≥0.5, it is classified as lake distribution type (AQ3); if the ratio of pit / pond area to blue space area is ≥0.5, it is classified as pit / pond distribution type (AQ4); if it does not belong to AQ1, AQ2, AQ3, or AQ4, it is classified as mixed blue space type (AQ5).

[0112] Examples of BGI spatial mapping classification of the study area are as follows: Figure 5 As shown, the BGI identification rate of the 497 water catchment areas in the central area is 100.0%. According to the primary classification of BGI, 209 belong to the impermeable category, 198 belong to the mixed category, 59 belong to the permeable category, and 31 belong to the water body category. According to the secondary classification of BGI, the top three BGI types with the most water catchment areas are: mostly impermeable (mainly including green space) type (131), mixed surface (mainly including green space) type (103), and mixed forest (including impermeable) type (50).

[0113] In this embodiment of the invention, layer analysis is performed based on the original water body layer data, water patch layer data, and point of interest layer data to obtain a new reservoir layer and a first residual water body layer. Layer drawing is then performed using an intersection tool based on the first residual water body layer and water patch layer data to obtain a new river layer and a second residual water body layer. Layer drawing is then performed based on the second residual water body layer and multi-element patch layer data to obtain a new lake layer and a new pond layer. A blue-green space layer is generated based on the land cover raster layer data, the new reservoir layer, the new river layer, the new lake layer, and the new pond layer, comprehensively considering the common blue spaces in urban watersheds and improving the operability of blue-green infrastructure spatial classification mapping. Based on the blue-green space layer, field statistics are used to analyze the area ratio of land cover types, obtaining land cover type area ratio information. Based on the land cover type area ratio information, a BGI classification framework is used for primary classification. Based on the primary classification results, the BGI classification framework is used for blue-green space classification, improving the accuracy and feasibility of BGI classification and demonstrating the interpretability of urban BGI types for urban flooding risk.

[0114] Example 3

[0115] Please see Figure 3 , Figure 3 This is a schematic diagram of the structural composition of the blue-green infrastructure mapping and classification device in an embodiment of the present invention. The device includes:

[0116] Layer data acquisition module 31: used to acquire land cover raster layer data, point of interest layer data, water body patch layer data and multi-element patch layer data, and extract the original water body layer data based on the land cover raster layer data;

[0117] First layer drawing module 32: used to perform layer analysis based on the original water body layer data, water body patch layer data, and point of interest layer data to obtain a new reservoir layer and a first remaining water body layer;

[0118] Second layer drawing module 33: used to draw layers based on the first remaining water body layer and water patch layer data using an intersection tool to obtain a new river layer and a second remaining water body layer;

[0119] The third layer drawing module 34 is used to draw layers based on the second remaining water body layer and multi-element patch layer data, to obtain a new lake layer and a new pit and pond layer, and to generate a blue-green space layer based on the land cover raster layer data, the new reservoir layer, the new river layer, the new lake layer, and the new pit and pond layer.

[0120] Area ratio analysis module 35: used to perform land cover type area ratio analysis based on the blue-green space layer using field statistics, and obtain land cover type area ratio information;

[0121] Classification module 36: is used to perform primary classification based on the land cover type area ratio information using the blue-green infrastructure BGI classification framework to obtain primary classification results, and to perform blue-green space classification based on the primary classification results using the BGI classification framework to obtain blue-green space classification results.

[0122] In the specific implementation of this invention, the specific implementation of the device item can be referred to the implementation of the method item above, and will not be repeated here.

[0123] In this embodiment of the invention, layer analysis is performed based on the original water body layer data, water patch layer data, and point of interest layer data to obtain a new reservoir layer and a first residual water body layer. Layer drawing is then performed using an intersection tool based on the first residual water body layer and water patch layer data to obtain a new river layer and a second residual water body layer. Layer drawing is then performed based on the second residual water body layer and multi-element patch layer data to obtain a new lake layer and a new pond layer. A blue-green space layer is generated based on the land cover raster layer data, the new reservoir layer, the new river layer, the new lake layer, and the new pond layer, comprehensively considering the common blue spaces in urban watersheds and improving the operability of blue-green infrastructure spatial classification mapping. Based on the blue-green space layer, field statistics are used to analyze the area ratio of land cover types, obtaining land cover type area ratio information. Based on the land cover type area ratio information, a BGI classification framework is used for primary classification. Based on the primary classification results, the BGI classification framework is used for blue-green space classification, improving the accuracy and feasibility of BGI classification and demonstrating the interpretability of urban BGI types for urban flooding risk.

[0124] This invention provides a computer-readable storage medium storing a computer program. When executed by a processor, this program implements the blue-green infrastructure mapping and classification method of any of the above embodiments. The computer-readable storage medium includes, but is not limited to, any type of disk (including floppy disks, hard disks, optical disks, CD-ROMs, and magneto-optical disks), ROM (Read-Only Memory), RAM (Random Access Memory), EPROM (Erasable Programmable Read-Only Memory), EEPROM (Electrically Erasable Programmable Read-Only Memory), flash memory, magnetic cards, or optical cards. In other words, the storage device includes any medium that stores or transmits information in a readable form by a device (e.g., a computer, a mobile phone), and can be a read-only memory, a disk, or an optical disk, etc.

[0125] Example 4

[0126] Please see Figure 4 , Figure 4 This is a schematic diagram of the structural composition of the electronic device in an embodiment of the present invention.

[0127] This invention also provides an electronic device, such as... Figure 4 As shown, the electronic device includes a memory 41, a processor 43, and a computer program 42 stored in the memory 41 and executable on the processor 43. Those skilled in the art will understand that... Figure 4The illustrated electronic device does not constitute a limitation on all devices and may include more or fewer components than illustrated, or combine certain components. Memory 41 can be used to store computer program 42 and various functional modules. Processor 43 runs the computer program 42 stored in memory 41, thereby performing various functional applications and data processing of the device. Memory can be internal memory or external memory, or both. Internal memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), flash memory, or random access memory. External memory may include hard disks, floppy disks, ZIP disks, USB flash drives, magnetic tapes, etc. Processor 43 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor, a single-chip microcomputer, or a processor 43, or any conventional processor, etc. The processors and memories disclosed in this invention include, but are not limited to, these types of processors and memories. The processors and memories disclosed in this invention are merely examples and not intended to be limiting.

[0128] As one embodiment, the electronic device includes: one or more processors 43, a memory 41, and one or more computer programs 42, wherein the one or more computer programs 42 are stored in the memory 41 and configured to be executed by the one or more processors 43, and the one or more computer programs 42 are configured to perform the blue-green infrastructure mapping and classification method in any of the above embodiments. For specific implementation processes, please refer to the above embodiments, which will not be repeated here.

[0129] In this embodiment of the invention, layer analysis is performed based on the original water body layer data, water patch layer data, and point of interest layer data to obtain a new reservoir layer and a first residual water body layer. Layer drawing is then performed using an intersection tool based on the first residual water body layer and water patch layer data to obtain a new river layer and a second residual water body layer. Layer drawing is then performed based on the second residual water body layer and multi-element patch layer data to obtain a new lake layer and a new pond layer. A blue-green space layer is generated based on the land cover raster layer data, the new reservoir layer, the new river layer, the new lake layer, and the new pond layer, comprehensively considering the common blue spaces in urban watersheds and improving the operability of blue-green infrastructure spatial classification mapping. Based on the blue-green space layer, field statistics are used to analyze the area ratio of land cover types, obtaining land cover type area ratio information. Based on the land cover type area ratio information, a BGI classification framework is used for primary classification. Based on the primary classification results, the BGI classification framework is used for blue-green space classification, improving the accuracy and feasibility of BGI classification and demonstrating the interpretability of urban BGI types for urban flooding risk.

[0130] Furthermore, the above provides a detailed description of the blue-green infrastructure mapping and classification method and related apparatus provided by the embodiments of the present invention. Specific examples have been used to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only for the purpose of helping to understand the method and core ideas of the present invention. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A method for mapping and classifying blue-green infrastructure, characterized in that, The method includes: Acquire land cover raster layer data, point of interest layer data, water body patch layer data, and multi-feature patch layer data, and extract the original water body layer data based on the land cover raster layer data; Based on the original water body layer data, water body patch layer data, and point of interest layer data, layer analysis is performed to obtain a new reservoir layer and a first remaining water body layer. Based on the data of the first remaining water body layer and the water patch layer, the intersection tool is used to draw layers to obtain a new river layer and a second remaining water body layer. Layer drawing is performed based on the second remaining water body layer and multi-element patch layer data to obtain a new lake layer and a new pit and pond layer. A blue-green space layer is generated based on the land cover raster layer data, the new reservoir layer, the new river layer, the new lake layer, and the new pit and pond layer. Based on the blue-green space layer, field statistics are used to analyze the area ratio of land cover types and obtain information on the area ratio of land cover types. Based on the land cover type area ratio information, a primary classification is performed using the Blue-Green Infrastructure (BGI) classification framework to obtain the primary classification result. Then, based on the primary classification result, the BGI classification framework is used to perform blue-green space classification to obtain the blue-green space classification result.

2. The blue-green infrastructure mapping and classification method according to claim 1, characterized in that, The layer analysis based on the original water body layer data, water patch layer data, and point of interest layer data to obtain a new reservoir layer and a first remaining water body layer includes: The first reservoir layer is generated using the intersection tool based on the original water body layer data and the water body patch layer data. Based on the original water body layer data and the point of interest layer data, a second reservoir layer is generated using an intersection tool. The first reservoir layer and the second reservoir layer are then merged to obtain a new reservoir layer. The overlapping and erasing processes of the new reservoir layer and the original water body layer data are performed to obtain the first remaining water body layer.

3. The blue-green infrastructure mapping and classification method according to claim 1, characterized in that, The process of drawing layers using an intersection tool based on the first remaining water body layer and the water patch layer data to obtain a new river layer and a second remaining water body layer includes: Based on the first remaining water body layer and water patch layer data, the intersection tool is used to determine the intersecting water patches of the layers, and a new river layer is determined based on the water patches; The new river layer and the first remaining water layer are overlapped and erased to obtain the second remaining water layer.

4. The blue-green infrastructure mapping and classification method according to claim 1, characterized in that, The process of drawing layers based on the second remaining water body layer and multi-factor patch layer data to obtain new lake layers and new pond layers includes: Based on the second remaining water body layer and multi-feature patch layer data, the intersection tool is used to draw layers according to the preset type to obtain a new lake layer; The second remaining water layer and the new lake layer are overlapped and erased to obtain a third remaining water layer, and a new pond layer is determined based on the third remaining water layer.

5. The blue-green infrastructure mapping and classification method according to claim 1, characterized in that, The method of performing land cover type area ratio analysis based on the blue-green space layer using field statistics to obtain land cover type area ratio information includes: Obtain the water catchment area layer and assign field numbers to the water catchment area layer to obtain the field number information corresponding to the water catchment area layer; Based on the blue-green space layer, the catchment area layer, and the field number information corresponding to the catchment area layer, the land cover type area ratio analysis is performed using field statistics to obtain land cover type area ratio information.

6. The blue-green infrastructure mapping and classification method according to claim 5, characterized in that, The land cover type area ratio analysis is performed using field statistics based on the blue-green space layer, the catchment area layer, and the field number information corresponding to the catchment area layer to obtain land cover type area ratio information, including: Based on the blue-green space layer and the water catchment area layer, the blue-green space type analysis was performed using intersection tabulation to obtain blue-green space type information; Based on the blue-green space layer and the water catchment area layer, the area ratio of the blue-green space is analyzed using intersection tabulation to obtain area ratio information, and a first table is generated based on the blue-green space type information and area ratio information. The connection field is determined based on the field number information corresponding to the water catchment area layer. The proportion information of the area of ​​various land cover types to the area of ​​the water catchment area is calculated based on the connection field and the first table. The first field is determined based on the proportion information. The field calculator is used to statistically analyze the blue space field, green space field, and blue-green space field of the water catchment area layer, and the land cover type area ratio information is determined based on the first field, the blue space field, the green space field, and the blue-green space field.

7. The blue-green infrastructure mapping and classification method according to claim 1, characterized in that, The process involves performing a primary classification based on the land cover type area ratio information using the Blue-Green Infrastructure (BGI) classification framework to obtain a primary classification result, and then performing a blue-green spatial classification based on the primary classification result using the BGI classification framework to obtain a blue-green spatial classification result, including: Based on the BGI classification framework, a first-level classification threshold is extracted, and the land cover type area ratio information is compared with the first-level classification threshold to obtain a first comparison result. Based on the first comparison result, a primary classification is performed to obtain a primary classification result, which includes impermeable, mixed, permeable, and water body categories. Based on the BGI classification framework, a secondary classification threshold is extracted. Based on the primary classification result, the land cover type area ratio information is compared with the secondary classification threshold to obtain a second comparison result. Based on the second comparison result, blue-green space classification is performed to obtain the blue-green space classification result.

8. A blue-green infrastructure mapping and classification device, characterized in that, The device includes: Layer data acquisition module: used to acquire land cover raster layer data, point of interest layer data, water body patch layer data and multi-element patch layer data, and extract the original water body layer data based on the land cover raster layer data; First layer drawing module: used to perform layer analysis based on the original water body layer data, water body patch layer data, and point of interest layer data to obtain a new reservoir layer and a first remaining water body layer; The second layer drawing module is used to draw layers based on the first remaining water body layer and the water patch layer data using the intersection tool to obtain a new river layer and a second remaining water body layer. The third layer drawing module is used to draw layers based on the second remaining water body layer and multi-element patch layer data, to obtain new lake layers and new pond layers, and to generate blue-green space layers based on the land cover raster layer data, new reservoir layer, new river layer, new lake layer and new pond layer. Area ratio analysis module: used to perform land cover type area ratio analysis based on the blue-green space layer using field statistics, and obtain land cover type area ratio information; Classification module: Used to perform primary classification based on the area ratio information of the land cover type using the blue-green infrastructure BGI classification framework to obtain the primary classification result, and to perform blue-green space classification based on the primary classification result using the BGI classification framework to obtain the blue-green space classification result.

9. An electronic device, the electronic device comprising a processor and a memory, characterized in that, The memory is used to store instructions, and the processor is used to invoke the instructions in the memory to cause the electronic device to execute the blue-green infrastructure mapping and classification method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that, when executed on an electronic device, cause the electronic device to perform the blue-green infrastructure mapping and classification method as described in any one of claims 1 to 7.

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