Remote Sensing, Third Edition: Models and Methods for Image Processing
Remote Sensing, Third Edition: Models and Methods for Image Processing
Remote Sensing Digital Image Analysis: An Introduction
Remote Sensing Digital Image Analysis: An Introduction
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The inaccessibility of active orogens such as the Himalayas renders detailed field studies on a large scale impossible. The integrative application of several remote sensing techniques in combination with ground truth information provides an alternative to assess the acting processes during erosion in tectonically active orogens. This study was carried out in the catchment area of the Bhotekoshi River, which drains both the Tibetan Plateau and the Himalayan Range. On the basis of stereogrammetric digital elevation models (DEMs) extracted from ASTER data and from aerial photographs, in combination with multispectral analysis, it is possible to appraise the nature of erosive processes. River networks are extracted from DEMs and their gradient, channel densities and flow path geometries are calculated and integrated in the erosion estimation model. In this study a modified Revised Universal Soil Loss Equation (RUSLE) and the Vegetation cover-Surface material and Drainage density (VSD) index have been tested for their suitability in the Himalayas. Using classifications methods-Maximum Likelihood (MLC), Support Vector Machines (SVM) and Object Based (OBC)-precise land use mapping can be carried out and affiliated with typical erosion rates. Long-term total erosion has been estimated using power law stream analysis. We show that the erosion models tested here underestimate erosion in tectonically active regions.