Abstract Machine learning algorithms (MLAs) such us artificial neural networks (ANNs),
regression trees (RTs), random forest (RF) and support vector machines (SVMs) are …

Digital elevation models (DEMs) are widely used in geoscience. The quality of a DEM is a
primary requirement for many applications and is affected during the different processing …

An analysis of almost 200 references has been carried out in order to obtain knowledge
about the DEM (Digital Elevation Model) accuracy assessment methods applied in the last …

Open-access global Digital Elevation Models (DEM) have been crucial in enabling flood
studies in data-sparse areas. Poor resolution (> 30 m), significant vertical errors and the fact …

Unmanned Aerial Vehicle (UAV)-based remote sensing techniques have demonstrated
great potential for monitoring rapid shoreline changes. With image-based approaches …

Topography plays a major role in determining the accuracy of flood inundation areas.
However, many areas in the United States and around the world do not have access to high …

Laser altimetry (lidar) is a remote-sensing technology that holds tremendous promise for
map** snow depth in snow hydrology and avalanche applications. Recently lidar has …

The use of topographic airborne LiDAR data has become an essential part of archaeological
prospection, and the need for an archaeology-specific data processing workflow is well …

Accurate habitat map** in salt marshes is critical for both management and conservation
goals. Information on marsh elevation is important to coastal managers, particularly for flood …

This book provides a thorough introduction to the use of remotely sensed data for wetland
classification and map**, as well as information on the latest technological advancements …