The ARSIS concept is meant to increase the spatial resolution of an image without modification of its spectral contents by merging structures extracted from a higher resolution image of the same scene but in a different spectral band. It makes use of wavelet transforms and multiresolution analysis. It is currently applied in an operational way with dyadic wavelet transforms that limit the mergi...

structural analysis of remotely sensed data provides a method of assessing the structural significance of large-magnitude regional metallogenesis in the kerman porphyry cu belt in the southern part of the central iranian volcanic belt. the role of large-magnitude ring structures in the distribution of hydrothermal alteration zones and porphyry copper deposits in the southern part of the kerman ...

Remote sensing image data from sources such as Landsat or airborne multispectral digital cameras are typically in the form of digital count (DC) values. To compare images acquired by the same sensor system on different dates, or images acquired by different sensor systems, it is necessary to correct for differences in the DC values due to sensor characteristics (gain and offset), illumination o...

The 2012 Ahar-Varzegan earthquake and its aftershocks have not only caused huge damage with a severe loss of life and property but also induced many geo-hazards with the major type of collapse, creep, slip, debris flow, and fallings that are generally considered as landslide in this study which can cause continuous threats to the affected region. in this study, a semi-automated geo-hazard detec...

Anthropogenic land use activities are significantly contributing to the ecological degradation of the Earth system. Therefore, having actual and reliable land cover information is fundamental to study the impact of such an ecological degradation on our future welfare. High spatial resolution sensors, such as Landsat TM, are typically used to derive land cover information from local to regional ...

This contribution provides a strategy for studying and modelling the deforestation and soil deterioration in the natural forest reserve of Peten, Guatemala, using a poor spatial database. A Multispectral Image Processing of Spot and TM Landsat data permits to understand the behaviour of the past land cover dynamics; a multi-temporal analysis of Normalized Difference Vegetation and Hydric Stress...

Land cover classification has been widely investigated in remote sensing for agricultural, ecological and hydrological applications. Landsat images with multispectral bands are commonly used to study the numerous classification methods in order to improve the classification accuracy. Thermal remote sensing provides valuable information to investigate the effectiveness of the thermal bands in ex...