Water and soil loss quantitative monitoring method based on multi-source data and multi-temporal data
A multi-source data and multi-temporal technology, applied in data processing applications, resources, character and pattern recognition, etc., can solve problems such as the inability to obtain large-scale soil erosion information, the difficulty of obtaining data, and the unobjective amount of soil erosion
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[0064] As shown in the accompanying drawings, the implementation steps of the soil erosion quantitative monitoring method based on multi-source data and multi-temporal data in this embodiment are as follows:
[0065] 1) Obtain the original remote sensing image of the area to be monitored, and perform atmospheric correction on the original remote sensing image. According to the theory and method of the COST model, obtain the parameter values required in the COST model from different ways, and perform band calculation on the original image according to the calculation process of the COST model. Calculate the surface reflectance value of the image;
[0066] 2) Perform qualitative evaluation of soil erosion intensity, which includes four factors: vegetation coverage, land use type, gully density and optimal terrain factor; extract vegetation coverage from the original remote sensing image obtained in step 1); use maximum likelihood Classification divides the land use types in th...
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