Jul 2026· The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences· Vol XLIX-B2-2026, pp. 207-214· 0 citations· 11 references
Abstract
Abstract. With TDX-EDEM (EDEM), AW3D30, SRTM and ASTER GDEM-3 (GDEM) global or nearly global free elevation models are available, which are in several countries more accurate than the Digital Elevation Models (DEMs) of the national survey administrations. All these DEMs have a point spacing of 1 arcsecond, which corresponds to ~31 m at the equator. EDEM, based on the TanDEM-X satellite combination, is the latest one, available since 2024. All named DEMs were analysed against reference aerial LiDAR DEMs in four test areas – Mountain, Rolling, Flat and City to gain an overview of their characteristics and accuracy. All these DEMs exhibit systematic errors that depend on the type of data acquisition and the terrain slope. Using ICESat-2 elevation profiles, these systematic errors can be reduced, thus improving the DEMsTo exclude areas with high vegetation, built-up areas, and water surfaces, an exclusion layer is required. The major improvement by ICESat-2 can be reached through a Z-shift of the DEMs determined by comparing the DEMs with ICESat-2 data. Only in few cases a correction by tilt or higher order systematic errors was justified. The best results were achieved with EDEM; only in steep mountainous and in built-up areas, AW3D30, corrected by ICESat-2, has advantages. SRTM and GDEM DEMs are not as good and should no longer be used.
This study evaluates one national Digital Elevation Model (DEM) (CARTOSAT) and eight global DEMs (ALOS12.5, AW3D30, ASTER, COPDEM, FABDEM, GEDTM, NASADEM and SRTM) to represent the topography of 10 chronic landslides in the Garhwal Indian Himalayas, using high‐resolution Uncrewed Aerial Vehicle (UAV)‐derived DEMs as...
The East Kazakhstan Region is characterized by heterogeneous mountain, steppe, agricultural, and urban–industrial landscapes. However, spatially integrated assessments of land-cover conditions, agricultural dynamics, settlement expansion, and atmospheric trace-gas patterns remain limited. This study combines open multi...
I. Klein, Emma Garcia Boadas, Coen Rouppe van der Voort et al.· Land· 0 citations
Unmanned aerial vehicles are a modern technology for collecting data for aerial surveying to produce high-resolution digital elevation models (DEMs). This accuracy is achieved using ground control points (GCPs), which are specific locations on the ground with known coordinates that help improve the precision of aerial...
Kamal M. Gamal, A. Elshrkawy, Osama M. Moussa et al.· IOP Conference Series: Earth...· 0 citations
Long-term lake storage monitoring remains challenging in data-scarce high-elevation regions because continuous water-level records and bathymetric data are often unavailable. Annual Landsat-derived areas of Xiao Qaidam Lake from 1996 to 2025 were combined with DEM-based height–area–volume (H–A–V) relationships to recon...
Digital elevation models (DEMs) are essential for terrain-related remote sensing applications, but their accuracy often decreases in complex mountainous terrain. This study investigates the use of the original Mamba model for DEM elevation error correction in a selected mountainous region of the Alps. The Copernicus Di...
Cui-Lin Yu, Jia-Jin Cheng, Xin-Yu Huang et al.· 2026 2nd International Confe...· 0 citations
This paper presents a methodology for integrating the orographic context of micro-locations into building energy modelling (BEM) for topographically diverse regions. Dynamic energy simulations rely on high-resolution weather data from weather stations that represent specific areas. When the micro-location of the simula...
Alen Hausmeister, Matej Ogrin, Tim Gregorčič et al.· Journal of Building Physics· 0 citations
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