利用多光谱遥感数据提取植被污染信息的新方法

New Method for Extraction of Contaminating Vegetation Using Multispectral Remote Sensing Data

有效监测植被污染的现状和变化是空间遥感技术的优势。根据植被在生长过程中在由红光和近红外波段组成的“植被视面”上的位置和迁移规律,提出了通过建立数学模型进行坐标旋转进而提取反映植被生长状况的绿度信息的方法,并且采用多光谱ASTER卫星遥感数据对江西德兴铜矿区的植被污染进行了应用研究。结果表明此方法可以消除土壤背景的影响,有效地判别植被长势的强弱,为在植被茂密覆盖区根据植被的长势和分布状况来判别生态环境状况提供了新思路,为其他相似的卫星数据的应用提供了科学的参考依据。

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 muhispectral 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.