| 德兴铜矿矿山污染高光谱遥感直接识别研究 |
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| 引用本文： | 甘甫平,刘圣伟,周强.德兴铜矿矿山污染高光谱遥感直接识别研究[J].地球科学,2004,29(1):119-126. |
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| 作者姓名： | 甘甫平 刘圣伟 周强 |
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| 作者单位： | [1]北京大学地球与空间科学学院，北京100871 [2]中国地质大学地球科学与资源学院，北京100083 [3]中国国土资源航空物探遥感中心，北京100083 |
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| 基金项目： | 国家自然科学基金项目 (No .40 2 0 10 3 4)，国土资源部“十五”重点科研项目 (No .2 0 0 2 2 0 6) . |
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| 摘 要： | 利用高光谱图谱结合特征开展矿山污染直接识别研究．首先详细分析了德兴铜矿矿山污染(废矿、废水以及植被)地物的光谱特征，总结出可利用于直接识别和提取这些污染物的特征光谱，从而利用矿区航天Hyperion高光谱数据并以矿物识别谱系技术为主有效地识别出矿区的污染类型及其分布．对于以黄铁矿等含铁矿物为主的围岩或贫矿矿石的氧化污染利用700nm、1000nm以及2200nm附近的特征吸收分别识别出含Fe^3 矿物及其Fe^3 和Fe^3 混合矿物，并进一步根据光谱特征识别出赤铁矿和针铁矿；根据矿区水体在600nm附近吸收特征的差异相对区分出酸性水、碱性水和中性水；根据植被在685nm附近的最大吸收深度相对地划分植被污染程度．最后建议建立矿山污染地物光谱数据库．该研究为利用高光谱的技术优势快速且有效地直接识别与提取出污染源的种类、类型并分析其潜在的污染趋势提供了新的思路，为矿山污染监测、治理规划和复垦提供了新技术和知识支撑．
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| 关 键 词： | 高光谱遥感 直接识别 矿山污染 Hyperion 含铁矿物 水污染 植被污染 德兴铜矿 |
| 文章编号： | 1000-2383(2004)01-0119-08 |
Identification of Mining Pollution Using Hyperion Data at Dexing Copper Mine in Jiangxi Province, China |
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| GAN Fu-ping.Identification of Mining Pollution Using Hyperion Data at Dexing Copper Mine in Jiangxi Province, China[J].Earth Science-Journal of China University of Geosciences,2004,29(1):119-126. |
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| Authors: | GAN Fu-ping |
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| Institution: | GAN Fu-ping~ |
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| Abstract: | The process of contamination identification at Dexing copper mine based on the spectral feature of pollutions such as mine offal, waste water and vegetation and so on are investigated using spectral identification tree technique for Hyperion data. The spectra of various surface materials at mine are analyzed at first. And then the different contaminations, the Fe-bearing minerals including Fe~(3+) and mixture of Fe~(2+) and Fe~(3+) based on the spectral absorption feature of 700 nm, 1 000 nm and 2 200 nm, the pollution water and their relative pH based on the spectral feature of 600 nm, the vegetation contamination caused by mine offal and pollution water based on the maximum absorption of spectral depth between 580 nm-750 nm, are identified and extracted using Hyperion data. The spectral database of mining pollution is proposed. A good idea of identifying mining pollution quickly and directly is put forward using hyperspectral imaging technique. The project can be very practical in terms of technical support for inspecting and surveying, managing and planning, remedial action of mine environment. |
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| Keywords: | hyperspecrtal imaging mine contamination Hyperion Fe-bearing mineral pollution water contamination vegetation Dexing copper mine |
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