Land-surface parameters derived from digital land surface models (DLSMs)(for example,
slope, surface curvature, topographic position, topographic roughness, aspect, heat load …

The GIS software sector has developed rapidly over the last ten years. Open Source GIS
applications are gaining relevant market shares in academia, business, and public …

The goal of this study was to assess the water status variability of a commercial rain-fed
Tempranillo vineyard (Vitis vinifera L.) by thermal and multispectral imagery using an …

Surface roughness is an important geomorphological variable which has been used in the
Earth and planetary sciences to infer material properties, current/past processes, and the …

Although climates are rapidly changing on a global scale, these changes cannot easily be
extrapolated to the local scales experienced by organisms. In fact, such generalizations …

Rapid assessment of spatial distribution of earthquake-induced landslides could provide
valuable information in the emergency response phase. Previous studies proposed global …

Soil erosion can cause a progressive degradation of hillslopes, especially in steep-slope
agricultural landscapes. In this study, the formation of spatial erosion patterns was evaluated …

Automated classification of satellite images is a challenging task that enables the use of
remote sensing data for environmental modeling of Earth's landscapes. In this document, we …

Abstract Knowledge of soil properties with complete area coverage is needed for policy-
making, land resource management, and monitoring environmental impacts. Remote …

Terrain attributes (eg slope, rugosity) derived from digital terrain models are commonly used
in environmental studies. The increasing availability of GIS tools that generate those …