A new algorithmic framework that can predict flooding could help save lives and reduce the devastation as climate change drives more intense and unpredictable rainfall. The model described in the ...
Characteristics of the flood dataset.(a) Comparison with traditional CD images (b) The sample number of the flood dataset within the overall xBD dataset. Osaka, Japan - Researchers at The University ...
Landslide susceptibility assessment is essential for risk mitigation in regions affected by complex terrain and variable environmental conditions. This study proposes a hybrid deep learning framework ...
Deep learning methods have transformed the detection and quantification of forest damage by leveraging high-resolution and multispectral imagery, LiDAR and SAR data. Convolutional neural networks ...
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