Flood Monitoring from SAR Data

被引：54

作者：

Kussul, Nataliia ^{[1
]}

Shelestov, Andrii ^{[1
]}

Skakun, Sergii ^{[1
]}

机构：

[1] Space Res Inst NASU NSAU, Kiev, Ukraine

来源：

USE OF SATELLITE AND IN-SITU DATA TO IMPROVE SUSTAINABILITY | 2011年

关键词：

Flood; Synthetic Aperture Radar (SAR); Artificial neural networks; Sensor Web paradigm; IMAGES;

D O I：

10.1007/978-90-481-9618-0_3

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

This paper presents the intelligent techniques approach for flood monitoring using Synthetic Aperture Radar (SAR) satellite images. We applied artificial neural networks and Self-Organizing Kohonen Maps (SOMs), to SAR image segmentation and classification. Our approach was used to process data from different SAR satellite instruments (ERS-2/SAR, ENVISAT/ASAR, RADARSAT-1/2) for different flood events: Tisza River, Ukraine and Hungary in 2001; Huaihe River, China in 2007; Mekong River, Thailand and Laos in 2008; Koshi River, India and Nepal in 2008; Norman River, Australia in 2009; Lake Liambezi, Namibia in 2009; Mekong River, Laos in 2009. This approach was implemented using Sensor Web paradigm for integrated system for flood monitoring and management.

引用

页码：19 / 29

页数：11

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