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Synergetic Use of Satellite Image and DEM for Identification of Landforms in a Ridge-Valley Topography

机译:协同使用卫星图像和DEM识别山脊谷地貌中的地貌

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Multispectral satellite image and digital elevation model (DEM) have emerged as the primary data sources for the mapping of landforms. They offer an opportunity to gain a fresh insight into the geomorphology of an area through landform identification using spatial, temporal, spectral and radiometric resolution of satellite images, and through the synergetic approach using DEM derivatives such as profile, slope, hill shading, contour pattern and 3-D flythrough visuals. This paper demonstrates an integrated study of Resourcesat-1 LISS III (23.5 m) image with ASTER DEM (30 m) for the identification of landforms in a rugged topography where conventional field based methods are difficult to adopt due to terrain inaccessibility. Satellite image aided by 3-D visualisation helped in accurate identification of landforms such as hogback, cuesta, plateau top and intermontane valley. The results showed that although denudational processes are active in this area, structural imprints of the strata that is mostly of proterozoic era, are still preserved.
机译:多光谱卫星图像和数字高程模型(DEM)已经成为地形图绘制的主要数据源。他们提供了一个机会,可以通过使用卫星图像的空间,时间,光谱和辐射度分辨率进行地貌识别,以及通过使用DEM衍生物(例如剖面,坡度,山体阴影,轮廓图样)的协同方法,来获得对该区域地貌的全新认识。和3D飞越视觉效果。本文演示了对Resourceat-1 LISS III(23.5 m)影像与ASTER DEM(30 m)的综合研究,用于识别崎top地形中的地形,这些地形由于无法进入地形而难以采用传统的基于野外的方法。借助3-D可视化技术的卫星图像有助于准确识别地形,例如大背山,丘斯塔,高原顶和山间山谷。结果表明,尽管剥蚀过程活跃于该地区,但仍保留了大部分是元古代的地层的结构印记。

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