 The study proposes a landslide extraction model using deep learning and remote sensing images that incorporates the squeeze and excitation network, SE net, to improve accuracy and reduce false detection. The proposed model outperforms two other models in extracting landslides from sentinel, to a remote sensing images with an F1 value of 87.94%. This article was authored by Hsing Chen, Yi He, Lefeng Zhang, and others.