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...

Topographic effect on remote sensed data in hilly and mountainous areas prevents from quantitative analysis, automated classification, scene segmentation and feature extract ion of satellite images. The feature and rules of topographic effect on digital remote sensing image are analyse~ and the models for topographic effect correction are described in this paper. Mainly the existing models for ...

remote sensing can be used as a powerful tool by using data from different sources and combine them for vegetation and land cover classification. pasture type classification provides key information for analysis of agricultural productivity, carbon accounting and biodiversity. the first data set that used in this study landsat tm (thematic mapper) optical image and the second envisat asar radar...

Mapping of vegetation in mountain areas based on remote sensing is obstructed by atmospheric and topographic distortions. A variety of atmospheric and topographic correction methods has been proposed to minimize atmospheric and topographic effects and should in principle lead to a better land cover classification. Only a limited number of atmospheric and topographic combinations has been tested...

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...

The high spatial resolution of QuickBird satellite images makes it possible to show spatial variability at fine details. However, the effect of topography-induced illumination variations become more evident, even in moderately sloped areas. Based on a high resolution (1 m) digital elevation model generated with high-frequency real-time kinematic global position system measurements, this study a...

In remote sensed data, topographic corrections are very important to overcome the topographic effects such as shadow effects. These topographic effects occurs especially in case of rugged terrain because sun facing slope represents maximum reflectance values and opposite side slope represents minimum reflectance values. These topographic effects leads to an inaccurate classification into differ...

The problem due to differential terrain illumination on satellite imagery is experienced by most of areas which are on mountainous terrain. This may cause variations in reflectance of similar ground features which lead to a misclassification of land cover classes due to different topographic positions. This phenomenon most commonly occurred in the areas which are located on southern and norther...

The recent free availability of Landsat historical data provides new potentials for land-cover change studies. Multi-temporal studies require a previous radiometric and geometric homogenization of input images, to better identify true changes. Topographic normalization is one of the key steps to create consistent and radiometricly stable multi-temporal time series, since terrain shadows change ...

Topographic correction is a necessary step of pre-process in the remote sensing application in rugged terrain. Most of traditional topographic correction methods are empirical and statistical based. These methods have the advantage of facility; however they also have some disadvantages, such as lack of comprehensive physical analysis, subjectivity in operation, separation of atmospheric correct...