Geomorphometry, a science of quantitative land surface analysis, gathers various mathematical, statistical and image processing techniques to quantify morphological, hydrological, ecological and other aspects of a land surface. The typical input to geomorphometric analysis is a square-grid representation of the land surface: a digital elevation model (DEM) or one of its derivatives. DEMs provide the backbone for many studies in Geo sciences, hydrology, land use planning and management, Earth observation and natural hazards.
One topic of active research concerns compromises between the use of global DEMs at 1-3 arc second, ~30-90 m grid spacing, and local LiDAR/structure from motion (SFM) elevation models at 1 m or finer grid spacing. Point clouds from LiDAR, either ground-based or from airborne vehicles, are a generally accepted reference tool to assess the accuracy of other DEMs. SFM data have a resolution comparable to LiDAR point clouds, but can cost significantly less to acquire for smaller areas. Globally available DEMS include the recently published Copernicus GLO-90 and GLO-30. This session provides an exciting forum to show the potential applications of this new DEM and its improvements over SRTM. We would like to investigate the tradeoff between the employment of the two kinds of data, and applications which can benefit from data at both (local and global) scales.
The improvements in the global DEMs, as well as the increasing availability of much finer resolution LiDAR and SFM DEMs, call for new analytical methods and advanced geo-computation techniques, necessary to cope with diverse application contexts. We aim at investigating new methods of analysis and advanced geo-computation techniques, including high-performance and parallel computing implementations of specific approaches.
Commercial applications of DEM data and of geomorphometric techniques can benefit important business sectors. Besides a proliferation of applications that can tolerate low accuracy geographical data and simple GIS applications, a large base of professionals use high-resolution, high-accuracy elevation data and high-performance GIS processing. We would like to survey and investigate professional, commercial and industrial applications, including software packages, from small enterprises to large companies, to ascertain how academic researchers and industry can work together.