DocumentCode
2882786
Title
Vegetational Spectral Characteristics in Hongtoushan Mining Area, Liaoning Province: Potential of Hyperspectral Remote Sensing in Environment Monitoring
Author
Yao, Yuzeng ; Li, Weiqun ; Wen, Shouqin ; Zhao, Yushan
Author_Institution
Dept. of Geol., Northeastern Univ., Shenyang, China
fYear
2012
fDate
1-3 June 2012
Firstpage
1
Lastpage
4
Abstract
Healthy conditions of different Vegetation are excellent synthetic index for environmental monitoring. Leaves of larch (Larix olgensis Henry) in Hongtoushan Mining Area are collected for chemical analysis and spectral measurement. The results indicate that the spectra on the tailing dam manifests obvious "blue shift", and correspondingly, the contents of Cu, Hg, Mo, Pb and Zn in leaves are higher than those in background area, while the contents of chlorophyll a and b are obviously lower. It seems that the content of biochemical components and heavy metals greatly affect the reflective spectra of various vegetation. The research shows that hyperspectral remote sensing technique is suitable for environment monitoring.
Keywords
geochemistry; soil pollution; vegetation; vegetation mapping; Cu content; Hg content; Hongtoushan mining area; Larix olgensis Henry; Liaoning province; Mo content; Pb content; Zn content; biochemical components; blue shift; chemical analysis; chlorophyll a; chlorophyll b; environment monitoring; environmental monitoring; heavy metals; hyperspectral remote sensing technique; larch Leaves; spectral measurement; synthetic index; vegetation healthy conditions; vegetational spectral characteristics; Hyperspectral imaging; Iron; Monitoring; Pollution measurement; Zinc;
fLanguage
English
Publisher
ieee
Conference_Titel
Remote Sensing, Environment and Transportation Engineering (RSETE), 2012 2nd International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4673-0872-4
Type
conf
DOI
10.1109/RSETE.2012.6260805
Filename
6260805
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