Inferring the Past: a Combined CNN-LSTM Deep Learning Framework to Fuse Satellites for Historical Inundation Mapping
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)（2023）
Key words
CNN-only approach,combined CNN-LSTM,critical information,deep learning models,disaster management,emergency response,flood detection,flood events,fractional inundated area,historical flood data,historical floods,historical inundation mapping,historical MODIS data,insurance-related decisions,long-term planning,longer time series,mapping floods,mitigating flood risks,peak inundation extents,risk management strategies,satellite data,satellite imagery,satellites,Sentinel-1 derived fractional flooded area,Sentinel-1 satellite
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