The inundation maps in GeoTiff format are generated from 10 m resolution Sentinel-1 images using the automatic RAdar Produced Inundation Diary (RAPID) algorithm. Inundation (pixels with label 1) refers to non-obstructed flooding only. The maps can only be used for non-commercial research, educational, and humanity purposes only. Please cite our publications when using/redistributing the maps. We acknowledge Amazon Web Service (AWS) for providing us the storage to share of all flood events in the CONUS area detected by the RAPID system from 2016-present (https://rapid–nrt–flood–maps.s3.amazonaws.com/index.html)
 Qing Yang, Xinyi Shen*, Emmaouil Anagnostou, Jack Eggleston, and Albert Kettner “A High-Resolution Flood Inundation Archive (2016–the Present) from Sentinel-1 SAR Imagery over CONUS”, Bulletin of the American Meteorological Society, DOI:10.1175/BAMS-D-19-0319.1.
 Xinyi Shen*, Emmanouil N. Anagnostou, George H. Allen, Robert G. Brakenridge and Albert J. Kettner (2019). “Near-Real Time Non-obstructed Inundation Mapping by Synthetic Aperture Radar” Remote Sensing of Environment, 221, 302-315. DOI: 10.1016/j.rse.2018.11.008.
 Xinyi Shen*, Dacheng Wang, Kebiao Mao, Emmanouil Anagnostou, and Yang Hong. (2019) “Inundation Extent Mapping by Synthetic Aperture Radar: A Review”, Remote Sensing, 11, 879, DOI: 3390/rs11070879.
Conference and Meetings
 X. Shen, Q. Yang, E. Anagnostou, A. Kettner, J. Jones, G. Schumann, “A partial polarimetric decomposition-based method for delineating wetlands/inundation under vegetation”, AGU Fall Meeting 2019, San Francisco“, AGU Fall Meeting 2019, San Francisco.