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In Morocco, the oriental Anti-Atlas encompasses many valuable deposits, including that of copper (Cu) which is located in the Sidi Flah-Bouskour inlier. This deposit is known for its high importance on the national scale. The present work aims to compare the Hyperion raw and fused data for mapping Cu mineralization. After applying the pre-processing steps on the images used, the fusion (hyperspectral/multispectral) process was done using the colour normalized spectral sharpening method. Subsequently, the mineralogical mapping task was performed using the mixture tuned matched filtering and the independent component analysis methods. In the last step, a geophysical data, a field survey and spectroradiometric measurements were done for checking and validating the results obtained. The analysis showed a high performance of the fused images for mineralogical mapping. Consequently, the methodology proposed can be exploited in mineralogical mapping, and also in other remote sensing works. [ABSTRACT FROM AUTHOR]

The massif of Saghro in Moroccan Anti-Atlas is known for several important economic deposits. Thanks to its high potential in terms of production, the deposit of Bouskour is considered among the most important and promising ones on the national scale. The objective of this work is to evaluate the potential of the new Multispectral Landsat-8 OLI and Sentinel-2A sensors in comparison with the Terra ASTER sensor in mineralogical mapping. This task was completed using the band ratio (BR), independent component analysis (ICA) and mixture tuned matched filtering (MTMF) methods. In addition, a field survey was carried out in order to control and validate the obtained mineralogical abundances. The approach followed gave satisfactory results with respect to the field data and the previous studies. Therefore, the sensors used showed great potential for mineralogical mapping and they can be exploited in other regions. [ABSTRACT FROM AUTHOR]

Certainly, lineament mapping occupies an important place in several studies, including geology, hydrogeology and topography etc. With the help of remote sensing techniques, lineaments can be better identified due to strong advances in used data and methods. This allowed exceeding the usual classical procedures and achieving more precise results. The aim of this work is the comparison of ASTER, Landsat-8 and Sentinel 1 data sensors in automatic lineament extraction. In addition to image data, the followed approach includes the use of the pre-existing geological map, the Digital Elevation Model (DEM) as well as the ground truth. Through a fully automatic approach consisting of a combination of edge detection algorithm and line-linking algorithm, we have found the optimal parameters for automatic lineament extraction in the study area. Thereafter, the comparison and the validation of the obtained results showed that the Sentinel 1 data are more efficient in restitution of lineaments. This indicates the performance of the radar data compared to those optical in this kind of study. [ABSTRACT FROM AUTHOR]