The management of waste rocks, generated by the mining industry, has become a global
concern due to its high quantity, environmental impact, human health risks and high …

Grayscale and color textures can have spectral informative content. This spectral information
coexists with the grayscale or chromatic spatial pattern that characterizes the texture. This …

In this paper, a comprehensive set of texture features extracted from the experimental
semivariogram of specific image objects is proposed and described, and their usefulness for …

In this era of free and open-access satellite and spatial data, modern innovations in cloud
computing and machine-learning algorithms (MLAs) are transforming how Earth-observation …

The authors develop a land use map discriminating urban surfaces from other cover types
over a semiarid region in North Africa and use it in a land surface model to assess the …

This study aims to present a technique that combines multi-sensor spatial data to monitor
wetland areas after a flash-flood event in a Saharan arid region. To extract the most efficient …

Remote sensing techniques are particularly suitable for geological studies in arid regions
such as the Arab world. Here, we present an overview of the main applications of satellite …

” Sustainable development at local, regional and global scales represents perhaps the most
daunting challenge that humanity has ever faced.” Global Change Newsletter, 2002 One of …

The use of texture in the identification and extraction of information contained in remote
sensing images is very important for thematic mapping. Several methods exist to solve the …

The image texture was extracted from Landsat TM data using rodogram, a geostatistical
function, and then added to multispectral classification for lithological discrimination of an …