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