17 citations · 17 across the 2 of their papers we have counts for
3 papers
Extending Dynamic World Surface Water Mapping to Sentinel-1 with AlphaEarth Embeddings
Rohit Mukherjee, Frederick Policelli, Beth Tellman +4
Dynamic World (DW) maps land use and land cover globally at 10 m from Sentinel-2 (S2) imagery, but only for cloud-free observations, which limits where and when surface water can b…
Urban Flood Observations: A hand-labeled training and validation dataset of post-flood inundation
Rohit Mukherjee, Hannah K. Friedrich, Beth Tellman +5
Urban flooding affects lives and infrastructure worldwide. Mapping inundation in complex urban environments from satellite imagery remains challenging due to limited spatial resolu…
Inferring the past: a combined CNN-LSTM deep learning framework to fuse satellites for historical inundation mapping
Jonathan Giezendanner, Rohit Mukherjee, Matthew Purri +4
Mapping floods using satellite data is crucial for managing and mitigating flood risks. Satellite imagery enables rapid and accurate analysis of large areas, providing critical inf…