Hyperspectral Remote Sensing in Monitoring the Vegetation Heavy Metal Pollution
LI Na1, Lü Jian-sheng2*, Altermann W1
1. LMU Dept. Earth & Environmental Science, Munich 80333，Germany 2. State Nuclear Electric Power Planning Design & Research Institute, Beijing 102208, China
Abstract：Mine exploitation aggravates the environment pollution. The large amount of heavy metal element in the drainage of slag from the mine pollutes the soil seriously, doing harm to the vegetation growing and human health. The investigation of mining environment pollution is urgent, in which remote sensing, as a new technique, helps a lot. In the present paper, copper mine in Dexing was selected as the study area and China sumac as the study plant. Samples and spectral data in field were gathered and analyzed in lab. The regression model from spectral characteristics for heavy metal content was built, and the feasibility of hyperspectral remote sensing in environment pollution monitoring was testified.
Key words：Spectral analysis;Hyperspectral remote sensing;Spectral characteristics;Regression model
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