DocumentCode :
2131400
Title :
Rapidly assessing the flood disaster by using remote sensing and GIS
Author :
Yang, Cunjian ; Huang, He ; Wei, Yiming ; Zhu, Hong ; Zhuo, Jieming
Author_Institution :
Resource & Environ. Coll., Sichuan Normal Univ., Chengdu, China
Volume :
5
fYear :
2002
fDate :
2002
Firstpage :
2880
Abstract :
The method of rapidly assessing the flood disaster is discussed here by using the technologies of remote sensing and geographic information system (GIS). The method included four steps. Firstly, satellite SAR image such as Radarsat SAR or ERS SAR is geometrically corrected and matched with the data from the GIS database such as landuse or the geometrical-corrected Landsat TM image. Secondly, the flood extent can be extracted from SAR images by visual interpretation or automatic extraction with support of DEM or Landsat TM. Thirdly, the flood extent can be over-laid with the data such as landuse data from GIS database or Landsat TM. Fourthly, the results such as map and table can be obtained by using GIS. The case of assessing the large flood disaster of P.R. China in 1998 showed that the technologies are very useful tools for assessing the flood disaster, which provides the government with very important information for alleviating the flood damage.
Keywords :
disasters; geophysical signal processing; hydrological techniques; radar imaging; spaceborne radar; synthetic aperture radar; terrain mapping; China; ERS SAR; GIS; Radarsat SAR; SAR image; automatic extraction; flood damage; flood disaster; flood extent; geographic information system; geometrical-corrected Landsat TM image; landuse; remote sensing; visual interpretation; Data mining; Floods; Geographic Information Systems; Government; Image databases; Remote monitoring; Remote sensing; Satellites; Spatial databases; Visual databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
Print_ISBN :
0-7803-7536-X
Type :
conf
DOI :
10.1109/IGARSS.2002.1026809
Filename :
1026809
Link To Document :
بازگشت