Intercomparison of Automated Near-Real-Time Flood Mapping Algorithms Using Satellite Data and DEM-Based Methods: A Case Study of 2022 Madagascar Flood

Numerous algorithms have been developed to automate the process of delineating water surface maps for flood monitoring and mitigation purposes by using multiple sources such as satellite sensors and digital elevation model (DEM) data. To better understand the causes of inaccurate mapping information...

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Bibliographic Details
Published in:	Hydrology Vol. 10; no. 1; p. 17
Main Authors:	Li, Wenzhao, Li, Dongfeng, Fang, Zheng N.
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.01.2023
Subjects:	Algorithms Automation Calibration Case studies Cloud computing Developing countries Digital Elevation Models Elevation Emergency management Emergency preparedness European Union Flood damage Flood management Flood mapping floodplains Floods Floodwater HYDRAFloods Hydrology Intercomparison Internet Landsat Landsat satellites Landsat-9 LDCs Machine learning Madagascar Mapping Mitigation mNDWI near-real-time flood mapping Otsu thresholding algorithms Precipitation radar Remote sensing SAR (radar) Satellite imagery Satellites Seasons Sentinel Storm damage Surface water Synthetic aperture radar Water depth Weather Antananarivo Madagascar Madagascar
ISSN:	2306-5338, 2306-5338
Online Access:	Get full text
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