Deep Learning (DL) has a wide variety of applications in various thematic domains,
including spatial information. Although with limitations, it is also starting to be considered in …

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

Landform detection and analysis from Digital Elevation Models (DEM) of the Earth has been
boosted by the availability of high-quality public data sets. Current landform identification …

Digital elevation models (DEMs) have been an important topic in geography and surveying
sciences for decades due to their geomorphological importance as the reference surface for …

Generating Digital Elevation Models (DEM) from satellite imagery or other data sources
constitutes an essential tool for a plethora of applications and disciplines, ranging from 3D …

Identification and removal of surface depressions is a critical step for automated modelling of
surface rainfall runoff based on Digital Elevation Models (DEMs). At present, nearly all GIS …

The LiDAR point clouds captured with airborne laser scanning provide considerably more
information about the terrain surface than most data sources in the past. This rich information …

Deep learning-based super-resolution is an essential technique for acquiring high-
resolution digital elevation models (DEMs) by enhancing the spatial resolution of low …

Deep Learning techniques have lately received increased attention for achieving state-of-
the-art results in many classification problems, including various vision tasks. In this work …

The digital elevation model (DEM) is crucial for various applications, such as land
management and flood planning, as it reflects the actual topographic characteristic on the …