A feature extraction method of watershed underlying surface based on computer vision technology
A computer vision and feature extraction technology, applied in computer parts, computing, instruments, etc., can solve problems such as loss of spatial information, and achieve the effect of avoiding the loss of spatial information and fully and quickly characterizing
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[0067] 1) Collection and preprocessing of the underlying surface data of the watershed.
[0068] 1-1 Collect the underlying surface data of the study area, including but not limited to digital elevation data, land use data, soil data, and normalized vegetation index data. The data is in the form of raster data. In theory, the higher the spatial resolution of the raster data, the better. The size of the visible watershed area should be adjusted appropriately. If the spatial resolution is too low, the feature extraction effect will be poor.
[0069] 1-2 Preprocess the digital elevation data. The preprocessing of the digital elevation data is mainly the analysis of the flow direction and slope of the watershed. The D8 algorithm is used for the calculation of the flow direction, and the slope value is expressed by the percentage method;
[0070] 1-3 Preprocess the land use data. The preprocessing of the land use data is mainly to map the land use type to the SCS-CN value to expres...
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