首页> 外文会议>Conference on Remote Sensing for Environmental Monitoring, GIS Applications, and Geology III; Sep 9-11, 2003; Barcelona, Spain >Potentials and Limitations of coupling ASTER and Airborne Geophysical data for improvement of geological mapping in arid region (Namibia, Rehoboth region)
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Potentials and Limitations of coupling ASTER and Airborne Geophysical data for improvement of geological mapping in arid region (Namibia, Rehoboth region)

机译:改善干旱地区(纳米比亚,里霍博斯地区)地质图的ASTER和航空地球物理数据耦合的潜力和局限性

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The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) launched on NASA's Terra satellite ranks lately among potential tools for Earth Observation. ASTER measures reflected radiations in 3 bands between 0.52 to 0.86 μm (VNIR) and in 6 bands between 1.6 to 2.43μm (SWIR). An ASTER image has been acquired on the Southern margin of the Damara orogen (Namibia, northern margin of the Nama marine sedimentary sequence) essentially composed by limestone, sandstone and shale. Furthermore, a program initiated by the Geological Survey of Namibia has permitted to obtain a radiometric data set (Thorium, Uranium and Potassium) of Rehoboth region in Namibia. The combined ASTER and airborne geophysical data have been processed and interpreted for improving the existing geological map. First, a Principal Component Analysis (PCA) on the 9 ASTER bands is realised and only the first five components are kept. Then, the Maximum Likelihood approach is used to identify lithological formations from radiometric data and PCA components. Importance of random training data has been pointed out. Finally the coupling of ASTER and radiometric data is the best approach for the improvement of geological map with a proportion of correctly mapped surface of 63.4% from initial geological map.
机译:在NASA的Terra卫星上发射的先进星载热发射和反射辐射仪(ASTER)最近成为了地球观测的潜在工具之一。 ASTER可测量介于0.52至0.86μm(VNIR)之间的3个波段和介于1.6至2.43μm(SWIR)之间的6个波段的反射辐射。在达玛拉造山带的南缘(纳米比亚,纳马海洋沉积序列的北缘)上获得了一个ASTER图像,该图像主要由石灰石,砂岩和页岩组成。此外,由纳米比亚地质调查局发起的一项计划已允许获得纳米比亚里霍博斯地区的辐射数据集(hor,铀和钾)。已对ASTER和航空地球物理数据的组合进行了处理和解释,以改善现有的地质图。首先,实现了对9个ASTER波段的主成分分析(PCA),并且仅保留了前五个成分。然后,使用最大似然法从辐射数据和PCA组分中识别岩性。指出了随机训练数据的重要性。最后,ASTER和辐射数据的耦合是改进地质图的最佳方法,正确绘制的地表比例要比初始地质图高63.4%。

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