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Generation and performance assessment of the global TanDEM-X digital elevation model
Open accessAbstract
The primary objective of the TanDEM-X mission is the generation of a global, consistent, and high-resolution digital elevation model (DEM) with unprecedented global accuracy. The goal is achieved by exploiting the interferometric capabilities of the two twin SAR satellites TerraSAR-X and TanDEM-X, which fly in a close orbit formation, acting as an X-band single-pass interferometer. Between December 2010 and early 2015 all land surfaces have been acquired at least twice, difficult terrain up to seven or eight times. The acquisition strategy, data processing, and DEM calibration and mosaicking have been systematically monitored and optimized throughout the entire mission duration, in order to fulfill the specification. The processing of all data has finally been completed in September 2016 and this paper reports on the final performance of the TanDEM-X global DEM and presents the acquisition and processing strategy which allowed to obtain the final DEM quality. The results confirm the outstanding global accuracy of the delivered product, which can be now utilized for both scientific and commercial applications.
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Cites
Handbook of Mathematical Functions
McQuarrie, D. A. (1966) · American Journal of Physics · doi:10.1119/1.1972842 · Cited by 40,433
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Four decades of Antarctic Ice Sheet mass balance from 1979–2017
Rignot, E., Mouginot, J., Scheuchl, B., van den Broeke, M., van Wessem, M. J., & Morlighem, M. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1812883116 · Cited by 1,649
A 30 m global map of elevation with forests and buildings removed
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Accuracy Assessment of the Global TanDEM-X Digital Elevation Model with GPS Data
Wessel, B., Huber, M., Wohlfart, C., Marschalk, U., Kosmann, D., & Roth, A. (2018) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2018.02.017 · Cited by 361
Self-citationUuemaa, E., Ahi, S., Montibeller, B., Muru, M., & Kmoch, A. (2020) · Remote Sensing · doi:10.3390/rs12213482 · Cited by 289
Metadata
- Authors
- Rizzoli, P., Martone, M., Gonzalez, C., Wecklich, C., Borla Tridon, D., Bräutigam, B., Bachmann, M., Schulze, D., Fritz, T., Huber, M., Wessel, B., Krieger, G., Zink, M., & Moreira, A.
- Venue
- ISPRS Journal of Photogrammetry and Remote Sensing
- Publisher
- Elsevier BV
- Published
- 2017-10
- Volume
- 132
- Pages
- 119-139
- ISSN
- 0924-2716 (ISSN-L)
- OpenAlex
- W2755431016
- Cited by
- 562
- References
- 1
- FWCI
- 35.74
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Rizzoli, P., Martone, M., Gonzalez, C., Wecklich, C., Borla Tridon, D., Bräutigam, B., Bachmann, M., Schulze, D., Fritz, T., Huber, M., Wessel, B., Krieger, G., Zink, M., & Moreira, A. (2017). Generation and performance assessment of the global TanDEM-X digital elevation model. ISPRS Journal of Photogrammetry and Remote Sensing. https://doi.org/10.1016/j.isprsjprs.2017.08.008
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