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
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;
Conference_Titel :
Remote Sensing, Environment and Transportation Engineering (RSETE), 2012 2nd International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-0872-4
DOI :
10.1109/RSETE.2012.6260805