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用卫星高光谱数据提取德兴铜矿区植被污染信息

THE APPLICATION OF HYPERION DATA TO EXTRACTING CONTAMINATION INFORMATION OF VEGETATION IN THE DEXING COPPER MINE, JIANGXI PROVINCE, CHINA

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【作者】 刘圣伟甘甫平王润生

【Author】 LIU Sheng-wei~1, GAN Fu-ping~2, WANG Run-sheng~(1,2) (1.China University of Geosciences, Beijing 100083, China; 2.China Aero Geophysical Survey and Remote Sensing Center for Land and Resources, Beijing 100083, China)

【机构】 中国地质大学地球科学与资源学院中国国土资源航空物探遥感中心中国地质大学地球科学与资源学院 北京 100083北京 100083北京 100083

【摘要】 在深入分析研究德兴铜矿矿区植被光谱特征的基础上,利用美国EO-1卫星Hyperion高光谱数据,通过反演表征植物生理状态的光谱特征参数(红边位置和最大吸收深度)变异,提取与污染相关的信息,获取了矿山植被污染生态效应概况,为矿山污染的诊断和监测提供新技术和知识支撑。

【Abstract】 This paper has dealt with such spectral features of vegetation in the mining area as the intensities and locations of green peak, red valley and infrared reflectance plateau and the slopes and locations of red edge and blue edge altered under the stress resulting from characteristic contamination of acid, alkali, heavy metals etc. The advances in the extraction of contamination information of vegetation in the Dexing copper mine based on spectral features of all kinds of plants are discussed on the basis of hyperspectral imaging data. The spectra of various plants were analyzed, and then spectral parameters (red edge position and absorption depth) were used to study the information extraction and reveal the general contamination situation of vegetation in the Dexing copper mine. The project is helpful to the whole process of diagnosing and monitoring mine pollution.

【基金】 国家自然科学基金项目(40201034);国土资源部"十五"重点科研项目(2002206)共同资助。
  • 【文献出处】 国土资源遥感 ,Remote Sensing For Land & Resources , 编辑部邮箱 ,2004年01期
  • 【分类号】X830
  • 【被引频次】86
  • 【下载频次】947
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