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Shaping the Global High-Resolution TanDEM-X Digital Elevation Model

Huber, Martin and Osterkamp, Nicole and Marschalk, Ursula and Tubbesing, Raphael and Wendleder, Anna and Wessel, Birgit and Roth, Achim (2021) Shaping the Global High-Resolution TanDEM-X Digital Elevation Model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, pp. 7198-7212. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/JSTARS.2021.3095178. ISSN 1939-1404.

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Official URL: http://dx.doi.org/10.1109/JSTARS.2021.3095178

Abstract

The global digital elevation model (DEM) produced by the TanDEM-X (TerraSAR-X add-on for digital elevation measurements) mission is an interferometric elevation model with unprecedented quality, accuracy, and coverage. It represents an unedited surface model as artifacts inherent to the interferometric synthetic aperture radar acquisition and processing technique are still present. The most prominent artifacts in the DEM are water bodies appearing with a rough surface due to low coherence. Additionally, outliers, voids, and larger data gaps may be present in this dataset. Therefore,DEM editing is crucial for many applicationsincluding hydrology or orthorectification of remote sensing data. Depending on the field of application, different techniques of quality enhancement are required. This article provides a comprehensive description of a semi-automatic framework specially developed for generating an edited version of the TanDEM-X dataset by shaping the high-resolution 12 m DEM with focus on water areas, outlier handling, and void filling. The default configuration parameters of the workflow can thereby be adapted interactively for challenging areas where appropriate. A quality assessment of the resulting edited DEM was done by statistical measures, visual methods, as well as by an artifact evaluation.

Item URL in elib:https://elib.dlr.de/143368/
Document Type:Article
Title:Shaping the Global High-Resolution TanDEM-X Digital Elevation Model
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Huber, MartinUNSPECIFIEDhttps://orcid.org/0000-0003-2665-2149UNSPECIFIED
Osterkamp, NicoleUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Marschalk, UrsulaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Tubbesing, RaphaelUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Wendleder, AnnaUNSPECIFIEDhttps://orcid.org/0009-0005-1534-4732UNSPECIFIED
Wessel, BirgitUNSPECIFIEDhttps://orcid.org/0000-0002-8673-2485134160600
Roth, AchimUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:7 July 2021
Journal or Publication Title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:14
DOI:10.1109/JSTARS.2021.3095178
Page Range:pp. 7198-7212
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:1939-1404
Status:Published
Keywords:Digital elevation model (DEM), editing, filtering, flood modeling, hydrology, interferometry, quality assessment, remote sensing, synthetic aperture radar (SAR).
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Remote Sensing and Geo Research, R - Geoproducts and systems, services
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface Dynamics
Deposited By: Huber, Martin
Deposited On:02 Aug 2021 13:20
Last Modified:02 May 2023 12:12

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