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。
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.
出处
《国土资源遥感》
CSCD
2004年第1期6-10,31,C001,共7页
Remote Sensing for Land & Resources
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。
关键词
高光谱
植被污染
光谱特征
红边位置
最大吸收深度
HYPERION
Hyperspecrtal imaging
Contaminated Vegetation
Spectral features
Red edge position
Absorption depth
Hyperion
Dexing Copper Mine
