Forecasting Flood Inundation in U.S. Flood-Prone Regions Through a Data-Driven Approach (FIER): Using VIIRS Water Fractions and the National Water Model

Forecasting Flood Inundation in U.S. Flood-Prone Regions Through a Data-Driven Approach (FIER): Using VIIRS Water Fractions and the National Water Model

Floods, one of the costliest, and most frequent hazards, are expected to worsen in the U.S. due to climate change. The real-time forecasting of flood inundations is extremely important for proactive decision-making to reduce damage. However, traditional forecasting methods face challenges in terms o...

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Bibliographic Details
Main Authors: Amirhossein Rostami, Chi-Hung Chang, Hyongki Lee, Hung-Hsien Wan, Tien Le Thuy Du, Kel N. Markert, Gustavious P. Williams, E. James Nelson, Sanmei Li, William Straka III, Sean Helfrich, Angelica L. Gutierrez
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Remote Sensing
Subjects:
VIIRS water fractions
national water model
flood forecasting
EOF analysis
Online Access:https://www.mdpi.com/2072-4292/16/23/4357
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