21 results about "Impervious surface" patented technology

Provided are a health risk monitoring method and apparatus for subsurface soil pollution of impervious surface in urban factories. The method includes the following steps: calculating linkage degree between a target chemical industrial park and the town according to a distance between the target chemical industrial park and each town; and determining a health risk of population affected by the target chemical industrial park by using the linkage degree. The health risk of target population is determined by using the linkage degree, which is helpful for the supervision department to take effective countermeasures in time to ensure public health.

The invention provides a multi-objective optimization rainwater management method based on sponge city source control, and relates to the field of data processing. In the method, underlying surface characteristics of a target area in the sponge city are obtained, and the underlying surface characteristics comprise an impervious surface, a permeable surface, permeability, an initial loss depth and a hydraulic retention depth; determining rainfall data of the target area, wherein the rainfall data comprises a plurality of design rainfall sequences and hourly intensity curves; based on the underlying surface characteristics and the rainfall data, adopting hydrology and water quality process model coupling to obtain runoff generation, permeation, storage and permeation and pollutant interception data of the target sponge facility under different rainfall sequences; and generating a spatial layout strategy of the target sponge facility in the target area by adopting a multi-target optimization algorithm according to runoff generation, permeation, storage and permeation and pollutant interception data of the target sponge facility under different rainfall sequences. By implementing the technical scheme provided by the invention, the layout strategy of the sponge facility is convenient to formulate, and the efficiency is improved.

The invention discloses a high-resolution remote sensing image urban impervious surface extraction method, and relates to the technical field of impervious surface remote sensing extraction. Comprising the following steps: acquiring high-spatial-resolution remote sensing data of a to-be-analyzed region; making a sample data set by combining the characteristics of the impervious surface; unbalanced sample data distribution quality in the sample data set is improved, and a high-quality sample data set is obtained and divided into a training set and a test set; constructing a feature fusion deep convolutional neural network semantic segmentation model; inputting the training set into a semantic segmentation model for model training to obtain a trained semantic segmentation model; inputting the test set into a trained semantic segmentation model to carry out ground feature classification, and generating a regional dense semantic city ground feature category classification result; and finally integrating impervious surface extraction results of a non-shadow region and a shadow region by adopting a shadow region impervious surface extraction scheme of multi-scale segmentation and a knowledge layering model to obtain urban impervious surface distribution. The method can improve the extraction precision of the impervious surface.

The invention provides a simulation design method of an urban ecological corridor, which comprises the following steps: S1, collecting a multi-temporal thermal infrared remote sensing image of a city to be simulated and designed and preprocessing to obtain a core heat island node; s2, heat resistance surface construction is carried out based on different surface types, a heat transfer resistance surface is obtained, and the different surface types comprise a digital elevation model, an impervious surface index, a normalized vegetation index, a normalized building index, a normalized water body index and a gradient; s3, taking the core heat island node as a network end point, searching a communication path with the lowest resistance on a heat transmission resistance surface, and obtaining an urban heat island corridor; and S4, on the basis of the urban land utilization data, ecological lands of forests, wetlands, large parks and water bodies serve as candidate ecological source lands, ecological connection paths are constructed from the angle of ecological connectivity by adopting the S2 and the S3, and the urban ecological corridor is obtained.

The application provides a kind of urban ecological restoration priority order identification method, device and electronic equipment, the method comprises: obtaining the spatial distribution data of multiple ecosystem service indicators in different years in target urban area and carrying out standardization processing;According to the spatial distribution data of multiple ecosystem service indicators in different years after standardization processing, determine the ecosystem service cluster value ESB of each pixel corresponding to the preset grid scale in different years in target urban area;According to the ESB of each pixel in different years and impervious surface index value ISA, determine the ecological restoration target year period;For any target pixel, according to its ISA change rate in the ecological restoration target year period, and the ESB change rate of its neighborhood pixel in the ecological restoration target year period, determine its ecological restoration priority order. Prior area of urban ecological restoration area can be divided, improve the efficiency and economy of urban area ecological restoration.

The application provides a city surface area classification method and related equipment. The city surface area classification method comprises: obtaining a first target parameter of a to-be-determined city surface area, the first target parameter comprising a characteristic building height, an average building height, a building height standard deviation, a building coverage rate, an impervious surface ratio, a characteristic vegetation canopy height, an average vegetation canopy height, and a vegetation coverage rate of the to-be-determined city surface area; inputting an electronic map corresponding to the to-be-determined city surface area and the first target parameter into a city surface area classification model to obtain a city surface area type corresponding to the to-be-determined city surface area output by the city surface area classification model, the city surface area type being used for analysis or simulation of heat waves, air quality, and extreme weather of the to-be-determined city surface area. In the application, the fineness and determination accuracy of the city surface area type are improved.

The invention discloses a rainfall flood regulation and storage efficiency evaluation method and a related device, and relates to the technical field of data analysis, and the method comprises the steps: calculating the rainfall depth based on the rainfall scene parameters of a target region; determining a first maximum water storage depth of a blue space in the target area, and calculating a first net water storage volume of the blue space based on the first maximum water storage depth and the rainfall depth; determining a second maximum water storage depth of a green space in the target area based on a runoff curve method so as to analyze a second net water storage volume of the green space; determining the runoff volume of the impervious surface in the target area, and calculating a rainfall flood regulation and storage efficiency index based on the runoff volume, the first purified water storage volume and the second purified water storage volume; and comparing the rainfall flood regulation and storage efficiency index with a preset threshold value, and determining classification information of the rainfall flood regulation and storage efficiency based on a comparison result. According to the method, the calculation cost of a complex hydrological model and excessive simplification of an empirical parameter method are avoided, and efficient and accurate urban rainfall flood regulation and storage efficiency evaluation and classification are realized.

The invention relates to the technical field of urban flood disaster prevention and control, in particular to a surface runoff estimation and flood simulation method based on an urban impervious surface. The method comprises the following steps: segmenting a target town region into a plurality of sub-regions, collecting spectral information of remote sensing satellite images in each sub-region, and calculating a spectral characteristic index of each sub-region based on the spectral information; determining an impervious surface area in the target town area through a clustering algorithm based on the spectral characteristic index of each sub-area, and calculating the surface runoff of the impervious surface area based on the precipitation; acquiring soil information of a region adjacent to the impervious surface region, and calculating a permeability coefficient of the region adjacent to the impervious surface region based on the soil information; whether the flood risk exists in the impervious surface area or not is judged based on the permeability coefficient and the surface runoff, and the accuracy of surface runoff estimation and the reliability of flood simulation can be improved.

The invention discloses an urban heat island area and heat source point identification method and system, and the method comprises the steps: obtaining multi-source remote sensing data at the same transit time, carrying out the preprocessing of the multi-source remote sensing data, and obtaining the map auxiliary data of a research area; key parameter inversion is carried out on the preprocessed multi-source remote sensing data, wherein the key parameters comprise land surface temperature, vegetation indexes and impervious surface information; according to the inversed surface temperature, vegetation index and impervious surface information, calculating heat island intensity indexes, including global heat island intensity based on suburban reference temperature and local heat island intensity based on distance weighted neighborhood temperature; and carrying out heat island area division based on the global heat island intensity, and identifying a microscopic heat source point based on the local heat island intensity. According to the method, a complete technical chain of global-local collaborative heat island identification is constructed, and the defect that only'districts' can be identified and'point sources' are difficult to identify in previous researches is overcome.

The present invention discloses a method, system, device and medium for impervious surface mapping, which relates to the field of geospatial information technology. The method includes: obtaining a target remote sensing image; extracting gray-level co-occurrence matrix features from the target remote sensing image to obtain first texture features; performing Gabor wavelet transform processing on the target remote sensing image to obtain second texture features; performing Gabor wavelet transform processing on the first texture features to obtain third texture features; determining a three-dimensional texture feature space image according to the first texture features, second texture features and third texture features; classifying the three-dimensional texture feature space image by using a clustering algorithm to obtain the distribution results of pervious surfaces and impervious surfaces; and processing the target remote sensing image according to the distribution results to obtain an impervious surface distribution map. The present invention can realize fast, accurate and automatic extraction of impervious surfaces, which has significant significance for studying the degree of urbanization and its development intensity.

The invention provides a natural resource element dynamic monitoring method and system, and solves the problem that the spatial-temporal dynamic change of a large-area impervious surface is difficult to conveniently and systematically describe in the prior art. The method comprises the following steps: preparing a multi-time-sequence impervious surface data set; dynamically monitoring the time sequence change of the impervious surface; analyzing the driving force of the sequential change of the impervious surface; dynamically monitoring the spatial form change of the impervious surface; and dynamically monitoring the spatial directivity change of the impervious surface. According to the method, dynamic changes of the space-time pattern of the impervious surface are systematically described, urban space planning can be scientifically compiled, and reference is provided for optimizing the urban human settlement environment.

The application discloses a rain flood regulation and storage efficiency evaluation method and related device, and relates to the technical field of data analysis, the method comprises the following steps: calculating rainfall depth based on rainfall scenario parameters of a target area; determining the first maximum water storage depth of blue space in the target area, calculating the first net water storage volume of the blue space based on the first maximum water storage depth and the rainfall depth; determining the second maximum water storage depth of green space in the target area based on the runoff curve method to analyze the second net water storage volume of the green space; determining the runoff volume of the impervious surface in the target area, calculating the rain flood regulation and storage efficiency index based on the runoff volume, the first net water storage volume and the second net water storage volume; comparing the rain flood regulation and storage efficiency index with a preset threshold, and determining the classification information of the rain flood regulation and storage efficiency based on the comparison result. The application avoids the calculation cost of a complex hydrological model and the excessive simplification of an empirical parameter method, and realizes efficient and accurate evaluation and classification of the urban rain flood regulation and storage efficiency.

The present invention discloses a multi-source remote sensing spatial mapping method for large-scale resident well-being. Based on multi-source remote sensing data, remote sensing information mining methods are used to extract remote sensing spatial features such as night light radiation intensity, impervious surface density, vegetation coverage index, road density, etc. At the same time, remote sensing implicit features related to resident well-being are extracted to construct a remote sensing feature set for resident well-being; the remote sensing features of resident well-being are combined with the resident well-being values calculated from the county-scale social statistical yearbook data to construct a spatial simulation model of resident well-being and remote sensing feature indicators. Further, a downscaling method is adopted to achieve continuous spatial simulation of resident well-being, and an improved spatial autocorrelation analysis method is used to realize the evolution spatial mapping of large-scale resident well-being.

The application discloses a high-resolution image impervious surface water information feature accurate extraction method. First, a high-resolution image of a road street view of an experimental area is acquired by using Baidu Street View, and effective pictures containing small targets are labeled. After a series of pretreatments, the effective pictures are used as input data of a small target detection model. Then, an end-to-end single-stage impervious surface small target detection model based on a VGG network is trained based on the input data. Finally, the spatial position of the extracted small target is accurately corrected in a geographical position.

The present invention discloses a method for extracting urban impervious surfaces from high-resolution remote sensing images, and relates to the technical field of remote sensing extraction of impervious surfaces. The method comprises: acquiring high-spatial-resolution remote sensing data of the area to be analyzed; creating a sample data set based on the characteristics of the impervious surfaces; improving the quality of the imbalanced sample data distribution in the sample data set to obtain a high-quality sample data set, which is divided into a training set and a test set; constructing a feature-fused deep convolutional neural network semantic segmentation model; inputting the training set into the semantic segmentation model for model training to obtain a trained semantic segmentation model; inputting the test set into the trained semantic segmentation model for object classification to generate a classification result of urban objects with dense regional semantics; and employing a shadow area impervious surface extraction scheme using a multi-scale segmentation and knowledge hierarchical model, and finally integrating the impervious surface extraction results of the non-shadow area and the shadow area to obtain the urban impervious surface distribution. The present invention can improve the accuracy of impervious surface extraction.

The application relates to the technical field of urban renewal planning, and discloses a method for optimizing the spatial pattern of impervious surfaces by considering unit differences, which comprises the following steps: step one: based on initial CN values, impervious density, slope and rainfall and other data, a runoff coefficient is calculated, and a runoff minimization target is converted into a linear programming problem; step two: according to the interpretation result of the SCS-CN model, a linear programming condition is set; and according to the actual situation, relevant constraint conditions are set; step three: the result is solved. The application considers the differences in drainage capacity among different hydrological units, realizes the spatial balance of surface water retention, and has the advantages that on one hand, the surface runoff in the high water retention area can be reduced, and on the other hand, the drainage capacity of the area with remaining capacity can be fully utilized.

The application discloses a city impervious surface all-weather extraction method and system based on a stacked generative adversarial network, a storage medium and an electronic device, and comprises the following steps: respectively pre-processing optical remote sensing images and SAR remote sensing images into a training set and a test set; constructing an impervious surface dataset: constructing a generative adversarial network for SAR image domain to optical image domain transformation, and constructing an urban impervious surface extraction model based on optical and SAR image feature fusion; training the model and testing the model to obtain a trained training model. The application generates simulated optical images from SAR images by using a generative adversarial network, then fuses the generated simulated optical images and SAR images and inputs them into an impervious surface extraction model based on the generative adversarial network for impervious surface extraction, improves the impervious surface extraction precision based on SAR images, realizes all-weather extraction of urban impervious surfaces in a tropical / subtropical region with much cloud and rain, and fills the application gap of optical remote sensing.

The embodiment of the invention provides a marking method and device for an impervious surface area, electronic equipment and a storage medium, and belongs to the technical field of image processing. The method comprises the following steps: inputting a high-resolution remote sensing image corresponding to a surface area to be processed into a pre-trained semantic segmentation model to obtain a surface coverage category corresponding to each pixel in the high-resolution remote sensing image; determining an impervious degree score corresponding to each pixel according to the land cover category; obtaining the pixel weight of each pixel, updating the impervious degree score of the corresponding pixel according to the pixel weight, and obtaining an updated impervious degree score corresponding to each pixel; determining a target area impervious degree score of the earth surface area to be processed according to the updated impervious degree score corresponding to each pixel; and when the impervious degree score of the target area exceeds a preset score threshold, determining that the earth surface area to be processed is an impervious surface area. According to the method and the device, the accuracy and the labeling efficiency of the impervious surface sample region labeling can be improved.

Systems and methods are provided for impervious surface mapping of a target geographic area. The impervious surface mapping utilizes four-band imagery data and light detection and ranging (LIDAR) data collected from the target geographic area. The identified impervious surfaces can include surfaces that are obscured by vegetation, trees, or other objects. The derived area of target geographic area includes surfaces that are obscured in the aerially collected geographic surface data based on the contextual quantification of the surfaces.

This invention discloses a quantitative measurement method and system for the three-dimensional pattern of impervious surfaces, comprising the following steps: reconstructing spatially continuous Landsat imagery; extracting the feature set with the highest accuracy in measuring impervious surfaces as the optimal feature set; estimating the abundance information of impervious surfaces using fully constrained least squares; gridding the city using a three-dimensional spatial grid; constructing quantitative indicators using building vector data and DEM data, and determining the weight of each indicator in the measurement of the three-dimensional pattern of impervious surfaces using the entropy method, calculating the development score of the three-dimensional pattern of impervious surfaces, and describing the three-dimensional pattern of impervious surfaces. This invention quantitatively describes the three-dimensional pattern of impervious surfaces, which helps to understand the three-dimensional spatial distribution of cities and provides a reference for urbanization patterns.

The application discloses a kind of pitaya planting area identification method and system of application multi-source night light remote sensing data, belong to night light remote sensing technical field and agricultural monitoring technical field.The present application is based on multi-source remote sensing data, according to the screening rule based on spectrum, space and vegetation characteristics, extracts pitaya potential planting area from night light image, and further constructs and trains pitaya planting area identification model through pitaya potential planting area, avoid the shortcoming that it is difficult to capture the spatial characteristics of strip, dot matrix of pitaya planting area under low spatial resolution night light image, and improve the accuracy of pitaya planting area identification;Since multi-source data at least includes night light image, vegetation image and impervious surface data, from night light, vegetation, thermal environment, topography and city proximity etc. Multi-dimensional information is jointly included in model training, and time sequence consistency constraint is introduced, with high stability and adaptability.