Articles | Volume 6, issue 4
Research article
30 Oct 2018
Research article |  | 30 Oct 2018

Measuring decadal vertical land-level changes from SRTM-C (2000) and TanDEM-X ( ∼ 2015) in the south-central Andes

Benjamin Purinton and Bodo Bookhagen

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Cited articles

Arrell, K., Wise, S., Wood, J., and Donoghue, D.: Spectral filtering as a method of visualising and removing striped artefacts in digital elevation data, Earth Surf. Proc. Land., 33, 943–961, 2008. a
Baade, J. and Schmullius, C.: TanDEM-X IDEM precision and accuracy assessment based on a large assembly of differential GNSS measurements in Kruger National Park, South Africa, ISPRS J. Photogram. Remote Sens., 119, 496–508, 2016. a
Bagnardi, M., González, P. J., and Hooper, A.: High-resolution digital elevation model from tri-stereo Pleiades-1 satellite imagery for lava flow volume estimates at Fogo Volcano, Geophys. Res. Lett., 43, 6267–6275,, 2016. a, b
Berthier, E., Arnaud, Y., Vincent, C., and Rémy, F.: Biases of SRTM in high-mountain areas: Implications for the monitoring of glacier volume changes, Geophys. Res. Lett., 33, L08502,, 2006. a, b
Berthier, E., Arnaud, Y., Kumar, R., Ahmad, S., Wagnon, P., and Chevallier, P.: Remote sensing estimates of glacier mass balances in the Himachal Pradesh (Western Himalaya, India), Remote Sens. Environ., 108, 327–338,, 2007. a, b
Short summary
We show a new use for the SRTM-C digital elevation model from February 2000 and the newer TanDEM-X dataset from ~ 2015. We difference the datasets over hillslopes and gravel-bed channels to extract vertical land-level changes. These signals are associated with incision, aggradation, and landsliding. This requires careful correction of the SRTM-C biases using the TanDEM-X and propagation of significant uncertainties. The method can be applied to moderate relief areas with SRTM-C coverage.