Topographic parameters in glacier inventories are a requirement to analyze glacier characteristics and are of vital importance for several subsequent applications. To obtain the topographic information a digital elevation model (DEM) is required; however, in many regions of the world no national or local DEM of sufficient quality is available. With the SRTM DEM and the ASTER Global Digital Elev...

Interferometric Synthetic Aperture Radar (InSAR) is one of the most promising remote sensing technologies and has been widely applied in constructing topographic information and estimating the deformation of the Earth’s surface. Ice velocity is an important parameter for calculating the mass balance and modelling ice shelve dynamics. Ice velocity is also an important indicator for climate chang...

Forest biomass is an important parameter for quantifying and understanding biological and physical processes on the Earth’s surface. Rapid, reliable, and objective estimations of forest biomass are essential to terrestrial ecosystem research. The Geoscience Laser Altimeter System (GLAS) produced substantial scientific data for detecting the vegetation structure at the footprint level. This stud...

Surface water storage is a key component of the terrestrial hydrological and biogeochemical cycles that also plays a major role in water resources management. In this study, surface water storage (SWS) variations are estimated at monthly time-scale over 15 years (1993–2007) using a hypsographic approach based on the combination of topographic information from Advance Spaceborne Thermal Emission...

A glacierized terrain comprises different land covers, and their mapping using satellite data is challenged by their spectral similarity. We propose a hierarchical knowledge-based classification (HKBC) approach for differentiation of glacier terrain classes and mapping of glacier boundaries, using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) imagery and Global Digital ...

Groundwater storage is influenced by many geo-environmental factors. Most of these factors are prepared in the form categorical data. The present study utilized raster satellite data instead and a Random Forest machine learning model to identify groundwater potential zones at downstream parts Wadi Yalamlam, western Saudi Arabia. Eighteen groundwater-influenced variables continuous format from A...

The eastern region of Morocco is characterized by an arid to semi-arid climate. It often confronted with heavy rainfall episodes that can generate floods cause adverse human and property damage. This work studies hydrological risk in the SidiBoulenouar area (Oujda province) model map areas. method used determine watersheds their watercourses, then calculate flows mathematical formulas. Topograp...