Advanced Operational Flood Monitoring in the New Era: Harnessing High-Resolution, Event Based, and Multi-Source Remote Sensing Data for Flood Extent Detection and Depth Estimation

Author:

Yang Qing1,Shen Xinyi1,Zhang Qingyuan2,Helfrich Sean3,Kellndorfer Josef M.4,Straka William5,Hao Wei3,Steiner Nicholas C.6,Villa Marcelo4,Ruff Tyler3,Torres Jessie C. Moore3,Lazzaro Rachel3,Jackson Cora7

Affiliation:

1. University of Wisconsin-Milwaukee,School of Freshwater Sciences,Milwaukee,WI,USA,53211

2. University of Maryland,Earth System Science Interdisciplinary Center,College Park,MD,USA,20742

3. National Oceanic and Atmospheric Administration,Center for Satellite Applications and Research,College Park,MD,USA,20742

4. Earth Big Data LLC,Falmouth,MA,USA,02543

5. University of Wisconsin-Madison,Cooperative Institute for Meteorological Satellite Studies,Madison,WI,USA,53706

6. The City College of New York,Earth and Atmospheric Sciences,New York,NY,USA,10031

7. Vanderbilt University,College of Arts and Sciences,Nashville,TN,USA,37235

Publisher

IEEE

Reference9 articles.

1. Near-real-time non-obstructed flood inundation mapping using synthetic aperture radar

2. A High-Resolution Flood Inundation Archive (2016–the Present) from Sentinel-1 SAR Imagery over CONUS

3. Operational Flood Mapping System Using Multi-SAR Sensors: Adaptive Initialization Enhances Detection in Snow and Arid Terrains;Yang

4. Self-Supervised Waterbody Detection (SWD): A Robust Algorithm for Flood Mapping in Multi-Source Optical Imagery;Yang

5. Advancements in Operational SAR Flood Extent and Depth Mapping: Addressing Challenges in Snow, Arid, and Urban Environments on a Global Scale;Yang;AGU23,2023

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