Generation and performance assessment of the global TanDEM-X digital elevation model

Rizzoli, Paola; Martone, Michele; González, Carolina; Wecklich, Christopher; Tridon, D. Borla; Bräutigam, Benjamin; Bachmann, Markus; Schulze, Daniel; Fritz, Thomas; Huber, Martin; Wessel, Birgit; Krieger, Gerhard; Zink, Manfred; Moreira, Alberto

doi:10.1016/j.isprsjprs.2017.08.008

Cited by 384 publications

(366 citation statements)

References 35 publications

Supporting

Mentioning

316

Contrasting

Unclassified

Order By: Relevance

“…Recent publications are mentioning a higher accuracy. Wecklich et al 2015 determined the absolute accuracy of validation points with 1.07m LE90, corresponding to SZ=0.65m due to improved calibration of TanDEM-X. Of course validation points do not fully present the DSM accuracy, but the vast majority of over 3000 geo-cells are reported to have an absolute height accuracy of less than 2 m LE90, 247 geo-cells are between 2 and 5 m LE90 and only 22 are between 5 and 8 m LE90 -the variation of the accuracy depends upon the terrain inclination, highly vegetated area and snow and ice regions.…”

Section: Introductionmentioning

confidence: 99%

“…Of course validation points do not fully present the DSM accuracy, but the vast majority of over 3000 geo-cells are reported to have an absolute height accuracy of less than 2 m LE90, 247 geo-cells are between 2 and 5 m LE90 and only 22 are between 5 and 8 m LE90 -the variation of the accuracy depends upon the terrain inclination, highly vegetated area and snow and ice regions. Rizzoli et al 2017 compared the Global TanDEM-X DSM with ICESat profile points. This resulted in an absolute accuracy LE90 of 0.88m corresponding to SZ=0.53m, excluding highly vegetated and snow-/ice-covered regions.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Geometric Accuracy Analysis of Worlddem in Relation to Aw3d30, SRTM and Aster Gdem2

Bayburt¹,

Kurtak²,

Büyüksali̇h³

et al. 2017

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

ABSTRACT:In a project area close to Istanbul the quality of WorldDEM, AW3D30, SRTM DSM and ASTER GDEM2 have been analyzed in relation to a reference aerial LiDAR DEM and to each other. The random and the systematic height errors have been separated. The absolute offset for all height models in X, Y and Z is within the expectation. The shifts have been respected in advance for a satisfying estimation of the random error component. All height models are influenced by some tilts, different in size. In addition systematic deformations can be seen not influencing the standard deviation too much. The delivery of WorldDEM includes information about the height error map which is based on the interferometric phase errors, and the number and location of coverage's from different orbits. A dependency of the height accuracy from the height error map information and the number of coverage's can be seen, but it is smaller as expected. WorldDEM is more accurate as the other investigated height models and with 10m point spacing it includes more morphologic details, visible at contour lines. The morphologic details are close to the details based on the LiDAR digital surface model (DSM). As usual a dependency of the accuracy from the terrain slope can be seen. In forest areas the canopy definition of InSAR X-and C-band height models as well as for the height models based on optical satellite images is not the same as the height definition by LiDAR. In addition the interferometric phase uncertainty over forest areas is larger. Both effects lead to lower height accuracy in forest areas, also visible in the height error map.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Geometric Accuracy Analysis of Worlddem in Relation to Aw3d30, SRTM and Aster Gdem2

Bayburt¹,

Kurtak²,

Büyüksali̇h³

et al. 2017

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

show abstract

“…This may be improved in the newly released data (Crippen 20 et al, 2016), but this remains to be tested. Multi-looking of 4×5 pixels of raw radar returns (resolution~3.3 m) was used in the case of TanDEM-X to generate a final 0.4 arcsec (~12 m) product, thus significantly smoothing and reducing speckle (Rizzoli et al, 2017).…”

Section: Spaceborne Dem Errorsmentioning

confidence: 99%

“…The TanDEM-X 0.4 arcsec (~12 m) DEM released in 2016-here received through scientific DLR proposals, though now available strictly commercially-is the next generation of radar-derived global topography following the SRTM. This DEM covering 97% of earth's landmasses was generated by semi-automated processing and stacking of > 470,000 ascending and descending X-band (3.1 cm wavelength) TerraSAR-X / TanDEM-X satellite bistatic scenes collected 25 from December 2010 to January 2015 (Krieger et al, 2013;Rizzoli et al, 2017). As elevations are averaged between scenes, we take the date of the TanDEM-X as January 2015, thus providing a 15 year time step of dh between SRTM-C and TanDEM-X.…”

mentioning

confidence: 99%

“…TanDEM-X satellite biases can be found in slight tilting of individual TerraSAR-X / TanDEM-X scenes (e.g., Neelmeijer et al, 2017), though these tilts were removed during stacking in the end product (Rizzoli et al, 2017). The careful monitoring 30 and control maintained over flight geometry, in addition to post-processing to remove tilts using ICESat (Ice, Cloud and land Elevation Satellite; Schutz et al (2005)), restricts most of the TanDEM-X uncertainty to the second category of terrain specific error (Rizzoli et al, 2017).…”

mentioning

confidence: 99%

See 1 more Smart Citation

Measuring Decadal Vertical Land-level Changes from SRTM-C (2000) and TanDEM-X (~ 2015) in the South-Central Andes

Purinton¹,

Bookhagen²

2018

Preprint

View full text Add to dashboard Cite

Abstract.Vertical change is often measured in the cryosphere via digital elevation model (DEM) differencing to assess glacier and icesheet mass balances. This requires the signal of change to outweigh the noise associated with the datasets. On the ice-free earth, land-level change is much smaller in magnitude and thus requires more accurate DEMs for differencing and identification of change. Previously, this has required high-resolution data at small scales. For the first time we measure land-level changes at the 5 scale of entire mountain belts in the south-central Andes using the SRTM-C (collected in 2000) and the TanDEM-X (collected from 2010-2015), both spaceborne radar DEMs. Long-standing errors in the SRTM-C are corrected using the TanDEM-X as a control surface and applying cosine-fit co-registration to remove~1/10 pixel (~3 m) shifts, Fast Fourier Transform and filtering to remove SRTM-C short-and long-wavelength stripes, and blocked shifting to remove remaining complex biases.The datasets are then differenced and outlier pixels are identified as potential signal for the case of gravel-bed channels and 10 hillslopes. We are able to identify signals of incision and aggradation (with magnitudes down to~3 m in best case) in two > 100 km river reaches, with increased geomorphic activity downstream of knickpoints. Anthropogenic gravel excavation and piling is prominently measured, with magnitudes exceeding ±5 m (up to > 10 m for large piles). These values correspond to conservative rates of 0.2 to > 0.5 m/yr for vertical changes in gravel-bed rivers. For hillslopes, since we require stricter cutoffs for noise, we are only able to identify one major landslide with a deposit volume of 16±0.15×10 change can be garnered from TanDEM-X auxiliary layers, however, these are more difficult to quantify. The methods presented can be extended to any region of the world with SRTM-C and TanDEM-X coverage where vertical land-level changes are of interest, with the caveat that remaining vertical uncertainties in primarily the SRTM-C limit detection in steep and complex topography.

show abstract

Hekla Volcano, Iceland, in the 20th Century: Lava Volumes, Production Rates, and Effusion Rates

Pedersen

Belart

Magnússon

et al. 2018

Geophysical Research Letters

View full text Add to dashboard Cite

Lava flow thicknesses, volumes, and effusion rates provide essential information for understanding the behavior of eruptions and their associated deformation signals. Preeruption and posteruption elevation models were generated from historical stereo photographs to produce the lava flow thickness maps for the last five eruptions at Hekla volcano, Iceland. These results provide precise estimation of lava bulk volumes: V1947–1948 = 0.742 ± 0.138 km3, V1970 = 0.205 ± 0.012 km3, V1980–1981 = 0.169 ± 0.016 km3, V1991 = 0.241 ± 0.019 km3, and V2000 = 0.095 ± 0.005 km3 and reveal variable production rate through the 20th century. These new volumes improve the linear correlation between erupted volume and coeruption tilt change, indicating that tilt may be used to determine eruption volume. During eruptions the active vents migrate 325–480 m downhill, suggesting rough excess pressures of 8–12 MPa and that the gradient of this excess pressure increases from 0.4 to 11 Pa s−1 during the 20th century. We suggest that this is related to increased resistance along the eruptive conduit.

show abstract

Generation and performance assessment of the global TanDEM-X digital elevation model

Cited by 384 publications

References 35 publications

Geometric Accuracy Analysis of Worlddem in Relation to Aw3d30, SRTM and Aster Gdem2

Geometric Accuracy Analysis of Worlddem in Relation to Aw3d30, SRTM and Aster Gdem2

Measuring Decadal Vertical Land-level Changes from SRTM-C (2000) and TanDEM-X (~ 2015) in the South-Central Andes

Hekla Volcano, Iceland, in the 20th Century: Lava Volumes, Production Rates, and Effusion Rates

Contact Info

Product

Resources

About