In recent years, the wealth of technological development revolutionised our ability to collect
data in geosciences. Due to the unprecedented level of detail of these datasets …

This review focuses on digital soil organic carbon (SOC) map** at regional or national
scales in spatial resolutions up to 1 km using open data remote sensing sources …

Streamflow in high-mountain Asia is influenced by meltwater from snow and glaciers, and
determining impacts of climate change on the region's cryosphere is essential to understand …

The success rate in landslide susceptibility map** efforts increased with the
advancements in machine learning algorithms and the availability of geospatial data with …

ABSTRACT A good understanding of the quality of digital elevation model (DEM) is a
perquisite for various applications. This study investigates the accuracy of three most …

Digital elevation models (DEMs) contain some of the most important data for providing
terrain information and supporting environmental analyses. However, the applications of …

An accurate spatially continuous air temperature data set is crucial for multiple applications
in the environmental and ecological sciences. Existing spatial interpolation methods have …

Slope instability due to tectonic, hydrological and anthropogenic activities cause severe
landslides in Himalaya. Joshimath, a densely populated Himalayan town witnessed a …

This work assesses the vertical accuracy of eight Digital Surface Models (DSMs) currently
available for Mexico (LiDAR, ALOS AW3D30 V2 and V3, ASTER GDEM V2 and V3, SRTM …

Mountainous regions are changing rapidly across the world due to both land-use change
and climate change. Given the importance of mountainous regions for ecosystem services …