Assessing the Relative Performance of GNSS-R Flood Extent Observations: Case Study in South Sudan
Author:
Affiliation:
1. ElectroScience Laboratory, The Ohio State University, Columbus, OH, USA
2. DFO Flood Observatory, INSTAAR, University of Colorado Boulder, Boulder, CO, USA
3. Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
Funder
Jet Propulsion Laboratory, California Institute of Technology
National Aeronautics and Space Administration
University of Colorado
NASA ROSES 2017
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/10006360/10018248.pdf?arnumber=10018248
Reference36 articles.
1. Bistatic Scattering Modeling for Dynamic Mapping of Tropical Wetlands with Cygnss
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3. CYGNSS data map flood inundation during the 2017 Atlantic hurricane season
4. The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation
5. Flood Inundation Mapping by Combining GNSS-R Signals with Topographical Information
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