Paper
24 February 2004 Utilizing remotely sensed TM images and meteorological data to plan flood risk area
Jingchang Bai, Chang-yao Wang, Zheng Niu, Shuhua Qi, Guanyi Li
Author Affiliations +
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.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jingchang Bai, Chang-yao Wang, Zheng Niu, Shuhua Qi, and Guanyi Li "Utilizing remotely sensed TM images and meteorological data to plan flood risk area", Proc. SPIE 5232, Remote Sensing for Agriculture, Ecosystems, and Hydrology V, (24 February 2004); https://doi.org/10.1117/12.514167
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Cited by 1 scholarly publication.
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KEYWORDS
Floods

Environmental sensing

Meteorology

Geographic information systems

Remote sensing

Telecommunications

Vegetation

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