Articles | Volume 15, issue 11
https://doi.org/10.5194/tc-15-5241-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-15-5241-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
26 Nov 2021
Research article |
| 26 Nov 2021
| 26 Nov 2021
TanDEM-X PolarDEM 90 m of Antarctica: generation and error characterization
German Remote Sensing Data Center, German Aerospace Center (DLR), Oberpfaffenhofen, Germany
Martin Huber
German Remote Sensing Data Center, German Aerospace Center (DLR), Oberpfaffenhofen, Germany
Christian Wohlfart
German Remote Sensing Data Center, German Aerospace Center (DLR), Oberpfaffenhofen, Germany
Data Office, Roche Diagnostics GmbH, Penzberg, Germany
Adina Bertram
German Remote Sensing Data Center, German Aerospace Center (DLR), Oberpfaffenhofen, Germany
Nicole Osterkamp
Company for Remote Sensing and Environmental Research (SLU), Munich, Germany
Ursula Marschalk
German Remote Sensing Data Center, German Aerospace Center (DLR), Oberpfaffenhofen, Germany
Astrid Gruber
German Remote Sensing Data Center, German Aerospace Center (DLR), Oberpfaffenhofen, Germany
Stemmer Imaging, Puchheim, Germany
Felix Reuß
Company for Remote Sensing and Environmental Research (SLU), Munich, Germany
Department of Geodesy and Geoinformation, TU Wien, Vienna, Austria
Sahra Abdullahi
German Remote Sensing Data Center, German Aerospace Center (DLR), Oberpfaffenhofen, Germany
Isabel Georg
Company for Remote Sensing and Environmental Research (SLU), Munich, Germany
Achim Roth
German Remote Sensing Data Center, German Aerospace Center (DLR), Oberpfaffenhofen, Germany
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Cited
23 citations as recorded by crossref.
- Building multi-satellite DEM time series for insight into mélange inside large rifts in Antarctica M. Xia et al.
- A new digital elevation model (DEM) dataset of the entire Antarctic continent derived from ICESat-2 X. Shen et al.
- Quantifying the impact of X-band InSAR penetration bias on elevation change and mass balance estimation S. Abdullahi et al.
- On the Processing of Single-Pass InSAR Data for Accurate Elevation Measurements of Ice Sheets and Glaciers A. Benedikter et al.
- Where the White Continent Is Blue: Deep Learning Locates Bare Ice in Antarctica V. Tollenaar et al.
- IceSegNet: A stage-aware dynamic kernel network for river ice segmentation in remote sensing imagery K. Wu et al.
- ICESat-2 Crossover-Constrained refinement of the Copernicus 30 m DEM in selected Antarctic regions using Machine learning X. Li et al.
- A new Greenland digital elevation model derived from ICESat-2 during 2018–2019 Y. Fan et al.
- Mapping Antarctic Blue Ice Areas With Sentinel-2A/B Images and LightGBM Model X. Teng et al.
- Study on the attitude steering scheme of satellite platform for distributed spaceborne SAR H. Yu
- Automatic delineation of cracks with Sentinel-1 interferometry for monitoring ice shelf damage and calving L. Libert et al.
- Gapless-REMA100: A gapless 100-m reference elevation model of Antarctica with voids filled by multi-source DEMs Y. Dong et al.
- Analysis of continuous calving front retreat and the associated influencing factors of the Thwaites Glacier using high-resolution remote sensing data from 2015 to 2023 Q. Zhu et al.
- A Kriging Method for the Estimation of ALS Point-Cloud Accuracy without Ground Truth Z. Pashaei et al.
- TanDEM-X: 10 Years of Formation Flying Bistatic SAR Interferometry M. Zink et al.
- Automatic calving front extraction from digital elevation model-derived data Y. Dong et al.
- Estimates of Glaciers Mass Balance and Volume in Baspa Basin, Indian Himalaya V. Gaddam et al.
- Ice thickness distribution of Himalayan glaciers inferred from DInSAR-based glacier surface velocity B. Nela et al.
- TanDEM-X: The 4D Mission Phase for Earth Surface Dynamics: Science activities highlights and new data products after 15 years of bistatic operations I. Hajnsek et al.
- Automatic grounding line delineation of DInSAR interferograms using deep learning S. Ramanath et al.
- IceLines – A new data set of Antarctic ice shelf front positions C. Baumhoer et al.
- Sea Ice Extraction via Remote Sensing Imagery: Algorithms, Datasets, Applications and Challenges W. Huang et al.
- Investigating the dynamics and interactions of surface features on Pine Island Glacier using remote sensing and deep learning Q. Zhu et al.
23 citations as recorded by crossref.
- Building multi-satellite DEM time series for insight into mélange inside large rifts in Antarctica M. Xia et al.
- A new digital elevation model (DEM) dataset of the entire Antarctic continent derived from ICESat-2 X. Shen et al.
- Quantifying the impact of X-band InSAR penetration bias on elevation change and mass balance estimation S. Abdullahi et al.
- On the Processing of Single-Pass InSAR Data for Accurate Elevation Measurements of Ice Sheets and Glaciers A. Benedikter et al.
- Where the White Continent Is Blue: Deep Learning Locates Bare Ice in Antarctica V. Tollenaar et al.
- IceSegNet: A stage-aware dynamic kernel network for river ice segmentation in remote sensing imagery K. Wu et al.
- ICESat-2 Crossover-Constrained refinement of the Copernicus 30 m DEM in selected Antarctic regions using Machine learning X. Li et al.
- A new Greenland digital elevation model derived from ICESat-2 during 2018–2019 Y. Fan et al.
- Mapping Antarctic Blue Ice Areas With Sentinel-2A/B Images and LightGBM Model X. Teng et al.
- Study on the attitude steering scheme of satellite platform for distributed spaceborne SAR H. Yu
- Automatic delineation of cracks with Sentinel-1 interferometry for monitoring ice shelf damage and calving L. Libert et al.
- Gapless-REMA100: A gapless 100-m reference elevation model of Antarctica with voids filled by multi-source DEMs Y. Dong et al.
- Analysis of continuous calving front retreat and the associated influencing factors of the Thwaites Glacier using high-resolution remote sensing data from 2015 to 2023 Q. Zhu et al.
- A Kriging Method for the Estimation of ALS Point-Cloud Accuracy without Ground Truth Z. Pashaei et al.
- TanDEM-X: 10 Years of Formation Flying Bistatic SAR Interferometry M. Zink et al.
- Automatic calving front extraction from digital elevation model-derived data Y. Dong et al.
- Estimates of Glaciers Mass Balance and Volume in Baspa Basin, Indian Himalaya V. Gaddam et al.
- Ice thickness distribution of Himalayan glaciers inferred from DInSAR-based glacier surface velocity B. Nela et al.
- TanDEM-X: The 4D Mission Phase for Earth Surface Dynamics: Science activities highlights and new data products after 15 years of bistatic operations I. Hajnsek et al.
- Automatic grounding line delineation of DInSAR interferograms using deep learning S. Ramanath et al.
- IceLines – A new data set of Antarctic ice shelf front positions C. Baumhoer et al.
- Sea Ice Extraction via Remote Sensing Imagery: Algorithms, Datasets, Applications and Challenges W. Huang et al.
- Investigating the dynamics and interactions of surface features on Pine Island Glacier using remote sensing and deep learning Q. Zhu et al.
Saved (final revised paper)
Latest update: 11 May 2026
Short summary
We present a new digital elevation model (DEM) of Antarctica derived from the TanDEM-X DEM, with new interferometric radar acquisitions incorporated and edited elevations, especially at the coast. A strength of this DEM is its homogeneity and completeness. Extensive validation work shows a vertical accuracy of just -0.3 m ± 2.5 m standard deviation on blue ice surfaces compared to ICESat laser altimeter heights. The new TanDEM-X PolarDEM 90 m of Antarctica is freely available.
We present a new digital elevation model (DEM) of Antarctica derived from the TanDEM-X DEM, with...
