Deep Learning for Remote Sensing to Improve Flood Inundation Mapping 事件
PRODUCT_LAUNCH2026-06-02影响: MEDIUM
Deep Learning for Remote Sensing to Improve Flood Inundation Mapping arXiv:2606.02310v1 Announce Type: new Abstract: Flooding is the most pervasive natural disaster worldwide. Timely and accurate flood inundation mapping are essential for informing disaster risk management. Optical satellite missions provide high-resolution, multispectral observations critical for flood detection and inundation mapping. However, their operational utility is severely constrained by cloud cover during extreme pre
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Deep Learning for Remote Sensing to Improve Flood Inundation Mapping
ArXiv CS.CV2026-06-02