Remote sensing intelligent extraction method for disturbance range of large-scale artificial water and soil loss

The invention discloses a large-scale artificial water and soil loss disturbance range remote sensing intelligent extraction method, which comprises the following steps of: firstly, acquiring time sequence multi-mode remote sensing image data before and after artificial water and soil loss disturbance in a supervision range, and performing high-precision registration on the time sequence multi-mode remote sensing image data to obtain a time sequence remote sensing image set; then constructing an artificial water and soil loss multi-modal remote sensing optimization feature set fused with a visual attention mechanism according to the time sequence remote sensing image set; and finally, performing remote sensing intelligent extraction on an artificial water and soil loss disturbance range in a supervision range based on an LSP graph convolutional neural network according to the artificial water and soil loss multi-mode remote sensing optimization feature set. The invention provides an artificial water and soil