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Proceedings Paper

Utilizing remotely sensed TM images and meteorological data to plan flood risk area
Author(s): Jingchang Bai; Chang-yao Wang; Zheng Niu; Shuhua Qi; Guanyi Li
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Paper Abstract

Flood, is a kind of regional easily-occur natural calamity. It is important that people utilize non-structural measures for disaster-prevention and disaster-salvation. The pilot plant lies in Binjiang River Catchments, which is a branch of Zhujiang River (Pearl River) Guangdong Province China. The information will be extracted from remotely sensed TM images to plan flood risk area, and integrate meteorological data to divide the pilot plant into sections, quantify the flood risk degree to lives, belongings and environment in every sub-area. At last we will make a flood risk-planning map.

Paper Details

Date Published: 24 February 2004
PDF: 8 pages
Proc. SPIE 5232, Remote Sensing for Agriculture, Ecosystems, and Hydrology V, (24 February 2004); doi: 10.1117/12.514167
Show Author Affiliations
Jingchang Bai, Institute of Remote Sensing Applications (China)
Chang-yao Wang, Institute of Remote Sensing Applications (China)
Zheng Niu, Institute of Remote Sensing Applications (China)
Shuhua Qi, Institute of Remote Sensing Applications (China)
Guanyi Li, Headquarter Office of Flood, Drought, and Typhoon Control of Guangdong Province (China)


Published in SPIE Proceedings Vol. 5232:
Remote Sensing for Agriculture, Ecosystems, and Hydrology V
Manfred Owe; Guido D'Urso; Jose F. Moreno; Alfonso Calera, Editor(s)

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