DocumentCode :
1888645
Title :
Methods for extraction of contaminated area using multispectral remote sensing data in Baiyin city, northwestern China
Author :
Wang, Yao ; Zhao, Chuanyan ; Nan, Zhongren
Author_Institution :
Key Lab. of Arid & Grassland Agroecology with the Minist. of Educ., Lanzhou Univ., Lanzhou, China
fYear :
2011
fDate :
24-29 July 2011
Firstpage :
2181
Lastpage :
2184
Abstract :
Effective monitoring of the current situation and change of vegetation contamination has become an application of the space remote sensing technology. The long-term exploitation of mines at Baiyin city, which is located in the typical vegetation-cover area, has led to the natural ecological environment of Baiyin very fragile. The object of present study is to investigate the vegetation contamination caused by exploit mineral resources using remote sensing technique, and confirmed that the feasibility of using remote sensing technology to monitor the vegetation contamination surrounding the mineral resources. The extraction of vegetation growth status in minerals areas is carried out by using multispectral remote sensing data (or images), we use the methods of density slice based on vegetation-greenness of rotating planar scanner plots in this study. In the end of the study, we provides some countermeasures and advises in the face of existing environment problems, in the hope of offer the available technology procedure and work ideas to other areas which are fit for remote sensing.
Keywords :
ecology; environmental degradation; geophysical techniques; minerals; mining; remote sensing; vegetation; Baiyin city; Northwestern China; contaminated area; density slice; information extracting; mineral areas; mineral resources; multispectral remote sensing data; natural ecological environment; rotating planar scanner plots; space remote sensing technology; vegetation contamination; vegetation growth status; vegetation-cover area; vegetation-greenness; Cities and towns; Contamination; Data mining; Metals; Remote sensing; Soil; Vegetation mapping; Baiyin; information extracting; multispectral; vegetation contamination;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
Conference_Location :
Vancouver, BC
ISSN :
2153-6996
Print_ISBN :
978-1-4577-1003-2
Type :
conf
DOI :
10.1109/IGARSS.2011.6049599
Filename :
6049599
Link To Document :
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