Development of a method for flood detection based on Sentinel‐1 images and classifier algorithms

• Published in: Water and environment journal : WEJ Vol. 35; no. 3; pp. 924 - 929
• Main Author: Sharifi, Alireza
• Format: Journal Article
• Language: English
• Published: London Wiley Subscription Services, Inc 01.08.2021
• Subjects: Algorithms; Baseline studies; classifiers; Damage; Disaster management; Disasters; Economic activities; Ecosystem services; ecosystems; environment; Environmental risk; flood detection; Flooded areas; Floods; human health; Hydrologic data; Hydrology; ICA algorithm; infrastructure; Learning algorithms; Machine learning; Monitoring systems; Natural disasters; Risk management; Risk reduction; Sentinel‐1; water; Water management

Floods are one of the most devastating natural disasters in the world, displacing millions of people each year and causing severe damage to people's lives and infrastructure. It is the most widespread hydrological hazard worldwide that affects water management, nature protection, economic activ...