Accuracy validation and bias assessment for various multi-sensor open-source DEMs in part of the Karakoram region

The present study evaluate horizontal and vertical accuracy of seven open-source digital elevation models (DEMs) having moderate-to-high resolutions viz. 30 m Shuttle Radar Topography Mission (SRTM1), Advanced Spaceborne Thermal Emission and Reflection Radiometer Global DEM (ASTER GDEM), Advanced La...

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Bibliographic Details
Published in:Remote sensing letters 2020-10, Vol.11 (10), p.893-902
Main Authors: Kumar, Anant, Negi, H.S., Kumar, Kamal, Shekhar, Chander
Format: Article
Language:English
Subjects:
Accuracy
Bias
Digital Elevation Models
Elevation
Mass balance
Model accuracy
Mountains
Phased arrays
Radar
Radar arrays
Radiometers
SAR (radar)
Satellite observation
Satellites
Synthetic aperture radar
Terrain
Thermal emission
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Summary:The present study evaluate horizontal and vertical accuracy of seven open-source digital elevation models (DEMs) having moderate-to-high resolutions viz. 30 m Shuttle Radar Topography Mission (SRTM1), Advanced Spaceborne Thermal Emission and Reflection Radiometer Global DEM (ASTER GDEM), Advanced Land Observing Satellite World 3D (AW3D30), and Cartosat DEM (CartoDEM), 90 m TerraSAR-X add-on for Digital Elevation Measurement (TanDEM-X), 12.5 m terrain corrected Phased Array L-band Synthetic Aperture Radar (PALSAR) from Advanced Land Observing Satellite (ALOS) and 8 m High Mountain Asia (HMA) over the rugged mountainous terrain of the Karakoram region. Horizontal accuracy (specified in x and y) assessed by referring photogrammetrically generated master DEM from Cartosat-1 revealed AW3D30 as the most consistent DEM with a slight shift of +2.80 m and −4.89 m in x and y direction, respectively. However, vertical accuracy analysis showed that both HMA and AW3D30 DEMs are quite close to each other with MAE of 3.01 m and 3.46 m, RMSE of 5.6 m and 7.5 m, and NMAD of 4.09 m and 5.5 m, respectively. We also examined the influence of slope on DEM errors and associated elevation-dependent bias over non-glaciated surface which can be valuable input for geodetic mass balance estimations.
ISSN:2150-704X
2150-7058
DOI:10.1080/2150704X.2020.1792001