Abstract:

Environmental pollution is one of the most concerned issues in the 21st century. The effective monitoring to the present situation and change of the vegetation contamination is the predominance of the remote sensing technology. Based on the location and displacement pattern of vegetation on the vegetation plane constituted by red and near-infrared bands during the vegetation growth, this study established a mathematical model for rotating the coordinate system of the vegetation plane, and then introduced a new method for extracting the information of greenness that reflects the growth of the vegetation. Using the newly multispectral remote sensing data(ASTER), an investigation of the contamination of vegetation in Dexing Copper Mine,   Jiangxi Province, was launched to give a new example in distinguishing the environment situation by studying the growth and distribution of the vegetation in a flourish region. At the same time, the result could be also regarded as a valuable reference for other similar applications of the satellite data.

Key words: multispectral, vegetation contamination, information extracting, Dexing Copper Mine