AUTOMATING INTERPRETATION OF GEOLOGICAL STRUCTURES FROM LANDSAT TM MULTI-SPECTRAL IMAGES AND DEMs
نویسندگان
چکیده
In this study using the Idrisi software system, a methodology for jointly analyzing and interpreting multi-spectral images and DEMs for extracting structural-geology features is given. In analyzing and interpreting multi-spectral images for geological features, certain criteria are employed to acquire information about the geological structures of the land, such as topographic, geomorphologic, and tectonic structures. The main criteria are color and color tones, topography, stream drainage patterns, and vegetation anomalies. In this study, Landsat TM multi-spectral images and a DEM of the Sierra Nevada region, California, USA, were experimentally used for geological interpretation. The results are presented and discussed in this paper.
منابع مشابه
Broad-Scale Land Condition Monitoring using Landsat TM and DEM-Derived Data
We describe a project that is monitoring land condition in the south west of Western Australia using Landsat Thematric Mapper satellite images and terrain data derived from digital elevation models (DEMs). Land Monitor is a multi-agency project of the Western Australian Salinity Action Plan supported by the Natural Heritage Trust. The focus of the project is on broad-scale monitoring of land co...
متن کاملData Fusion and Integration for Multi-resolution Online 3d Environmental Monitoring
With the advancement of remote sensing sensor technologies, images of the earth’s surface have been collected at different spatial resolutions, in different spectral wavelengths (panchromatic, multispectral, hyperspectral), and with mono or stereoscopic views. The advancement of the technologies for geospatial information acquisition and extraction has allowed the generation of digital elevatio...
متن کاملWavelet-Based Digital Elevation Model Analysis
Estimations of the local roughness of Digital Elevation Models (DEMs) have been used both for a better geological understanding of terrain structures and for a more accurate DEM interpolation leading to higher resolution terrain maps. This work investigates two fractal dimension estimators for the characterization of the roughness of DEMs: the power spectrum estimator and the wavelet-based esti...
متن کاملLULC Classification and Topographic Correction of Landsat-7 ETM+ Imagery in the Yangjia River Watershed: the Influence of DEM Resolution
DEM-based topographic corrections on Landsat-7 ETM+ imagery from rugged terrain, as an effective processing techniques to improve the accuracy of Land Use/Land Cover (LULC) classification as well as land surface parameter retrievals with remotely sensed data, has been frequently reported in the literature. However, few studies have investigated the exact effects of DEM with different resolution...
متن کاملDoes Topographic Normalization of Landsat Images Improve Fractional Tree Cover Mapping in Tropical Mountains?
Fractional tree cover (Fcover) is an important biophysical variable for measuring forest degradation and characterizing land cover. Recently, atmospherically corrected Landsat data have become available, providing opportunities for high-resolution mapping of forest attributes at global-scale. However, topographic correction is a pre-processing step that remains to be addressed. While several me...
متن کامل