突尼斯北部基于Landsat ETM+和spot5融合的矿山尾矿制图和监测加强

N. Mezned, Nada Mechrgui, S. Abdeljaoued
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引用次数: 4

摘要

矿山尾矿构成了令人震惊的污染源,威胁着杰贝勒·哈卢夫-布瓦内矿区周围的土壤、植被和人类健康。由于它们广泛的地理分布;它们的位置和范围,仅用传统的现场工作对尾矿进行表征既昂贵又低效。在本研究中,我们探索了基于多光谱和多感官数据融合的遥感技术。我们的贡献包括使用spot5全色和Landsat ETM+多光谱数据增强了尾矿地图的生成。所得混合图像的线性光谱解混结果趋于场真。对比结果表明,该方法可以成功地应用于尾矿多光谱数据的多时相监测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhanced mapping and monitoring of mine tailings based on Landsat ETM+ and SPOT 5 fusion in the North of Tunisia
Mine tailings constitute an alarming source of pollution that threatens soils, vegetation and human health around Jebel Hallouf-Bouaouane mine site. Because of their widespread geographical distribution; their location and extent, the characterization of mine tailings using traditional field work alone is both costly and inefficient. In this study, we explore remote sensing techniques based on multispectral and multisensory data fusion. Our contribution consists in enhanced mine tailing map generation using both SPOT 5 panchromatic and Landsat ETM+ multispectral data. Results of the linear spectral unmixing of the resulting hybrid image tend to field truth. The inter-comparison of unmixing results indicates that this methodology can be applied successfully to multispectral data for multi-temporal monitoring of mine tailings.
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