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Accuracy Enhancement of ASTER Global Digital Elevation Models Using ICESat Data

Arefi, Hossein and Reinartz, Peter (2011) Accuracy Enhancement of ASTER Global Digital Elevation Models Using ICESat Data. Remote Sensing, 3 (7), pp. 1323-1343. Multidisciplinary Digital Publishing Institute (MDPI).

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Official URL: http://www.mdpi.com/2072-4292/3/7/1323/


Global Digital Elevation Models (GDEM) are considered very attractive for current research and application areas due to their free and wide range accessibility. The ASTER Global Digital Elevation Model exhibits the highest spatial resolution data of all global DEMs and it is generated for almost the whole globe. Unfortunately, ASTER GDEM data include many artifacts and height errors that decrease the quality and elevation accuracy significantly. This study provides a method for quality improvement of the ASTER GDEM data by correcting systematic height errors using ICESat laser altimetry data and removing artifacts and anomalies based on a segment-based outlier detection and elimination algorithm. Additionally, elevation errors within water bodies are corrected using a water mask produced from a high-resolution shoreline data set. Results indicate that the accuracy of the corrected ASTER GDEM is significantly improved and most artifacts are appropriately eliminated. Nevertheless, artifacts containing lower height values with respect to the neighboring ground pixels are not entirely eliminated due to confusion with some real non-terrain 3D objects. The proposed method is particularly useful for areas where other high quality DEMs such as SRTM are not available.

Item URL in elib:https://elib.dlr.de/81044/
Document Type:Article
Title:Accuracy Enhancement of ASTER Global Digital Elevation Models Using ICESat Data
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Arefi, Hosseinhossein.arefi (at) dlr.deUNSPECIFIED
Date:1 July 2011
Journal or Publication Title:Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In ISI Web of Science:Yes
Page Range:pp. 1323-1343
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
Keywords:Digital Elevation Models (DEM); ASTER; geodesic image reconstruction; outlier removal; water mask; enhancement
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):W - Vorhaben Photogrammetrie und Bildanalyse (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Arefi, Hossein
Deposited On:01 Feb 2013 15:31
Last Modified:14 Dec 2019 04:25

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