2018 | 2017 | 2016 | 2015 |2014 | 2013 – 2012


R. Fischer, E. Rödig, A. Huth: Consequences of a Reduced Number of Plant Functional Types for the Simulation of Forest Productivity. Forests, 9, 460, 2018, doi:10.3390/f9080460.

U. Hiltner, A. Huth, A. Bräuning, B. Hérault, R. Fischer: Simulation of succession in a neotropical forest: High selective logging intensities prolong the recovery times of ecosystem functions. Forest Ecology and Management, Vol. 430, pp. 517-525, 2018, doi:10.1016/j.foreco.2018.08.042.

H. Joerg, M. Pardini, I. Hajnsek, K. Papathanassiou: 3-D Scattering Characterization of Agricultural Crops at C-band using SAR Tomography. IEEE Transactions on Geoscience and Remote Sensing, 56(7), 2018, doi:10.1109/TGRS.2018.2818440.

H. Joerg, M. Pardini, I. Hajnsek, K. P. Papathanassiou: Sensitivity of SAR Tomography to the Phenological Cycle of Agricultural Crops at X-, C- and L-band. IEEE J. Sel. Top. Appl. Earth Obs., 11(9), 2018, doi:10.1109/JSTARS.2018.2845127.

H. Joerg: Multi-Frequency Polarimetric SAR Tomography for the 3-D Characterization and Monitoring of Agricultural Crops. PhD thesis, ETH Zurich, 2018 doi:10.3929/ethz-b-000259515.

N. Knapp, A. Huth, F. Kugler, K. Papathanassiou, R. Condit, S. P. Hubbell and R. Fischer: Model-Assisted Estimation of Tropical Forest Biomass Change: A Comparison of Approaches. Remote Sens. 2018, 10(5), 731; doi:10.3390/rs10050731.

N. Knapp, R. Fischer, A. Huth: Linking lidar and forest modeling to assess biomass estimation across scales and disturbance states. Remote Sensing of Environment, 205, p. 199–209, 2018, doi:10.1016/j.rse.2017.11.018.

M. Pardini, M. Tello Alonso, V. Cazcarra Bes, K. Papathanassiou, I. Hajnsek: L- and P-Band 3-D SAR Reflectivity Profiles vs. Lidar Waveforms: The AfriSAR Case. IEEE JSTARS, 2018, doi: 10.1109/JSTARS.2018.2847033

M. Pardini, K.P. Papathanassiou, F. Lombardini: Impact of Dielectric Changes on L-Band 3-D SAR Reflectivity Profiles of Forest Volumes. IEEE Transactions on Geoscience and Remote Sensing, 2018, doi:10.1109/TGRS.2018.2850357.

M. Pichierri, I. Hajnsek, S. Zwieback, and B. Rabus: On the potential of Polarimetric SAR Interferometry to characterize the biomass, moisture and structure of agricultural crops at L-, C- and X-Bands. Remote Sensing of Env., 204, pp. 596-616, 2018, doi:10.1016/j.rse.2017.09.039.

A. Rammig, J. Heinke, F. Hofhansl, H. Verbeeck, T. R. Baker, B. Christoffersen, P. Ciais, H. De Deurwaerder, K. Fleischer, D. Galbraith, M. Guimberteau, A. Huth, M. Johnson, B. Krujit, F. Langerwisch, P. Meir, P. Papastefanou, G. Sampaio, K. Thonicke, C. von Randow, C. Zang, E. Rödig: A generic pixel-to-point comparison for simulated large-scale ecosystem properties and ground-based observations: an example from the Amazon region. Geosci. Model Dev. Discuss., 2018, doi:10.5194/gmd-2018-182.

E. Rödig, M. Cuntz, A. Rammig, R. Fischer, F. Taubert, A. Huth: The importance of forest structure for carbon fluxes of the Amazon rainforest. Environ. Res. Lett., 13(5), 2018, doi:10.1088/1748-9326/aabc61.

E. Rödig: Simulating carbon stocks and fluxes of the Amazon rainforest: a journey across temporal and spatial scales. PhD-Thesis, Uni Osnabrück, 2018.

R. Taubert, R. Fischer, J. Groeneveld, S. Lehmann, S.M. Michael, E. Rödig, T. Wiegand, A. Huth: Global patterns of tropical forest fragmentation. Nature, 554, pp. 519–522, 2018, doi:10.1038/nature25508.

M. Tello, V. Cazcarra-Bes, M. Pardini, K. Papathanassiou: Forest Structure Characterization From SAR Tomography at L-Band. IEEE J. Sel. Top. Appl. Earth Obs., 2018, doi:10.1109/JSTARS.2018.2859050.


J. Neelmeijer, T. Schöne, R. Dill, V. Klemann, M. Motagh: Ground Deformations around the Toktogul Reservoir, Kyrgyzstan, from Envisat ASAR and Sentinel-1 Data—A Case Study about the Impact of Atmospheric Corrections on InSAR Time Series. Remote Sensing, 10(3), 2018, doi:10.3390/rs10030462.

N. Richter, J.T. Salzer, E. de Zeeuw-van Dalfsen, D. Perissin, T.R. Walter: Constraints on the geomorphological evolution of the nested summit craters of Láscar volcano from high spatio-temporal resolution TerraSAR-X interferometry. Bulletin of Volcanology, 80(21), 2018, doi:10.1007/s00445-018-1195-3.


V. Brancato, I. Hajnsek: Analyzing the Influence of Wet Biomass Changes in Polarimetric Differ-ential SAR Interferometry at L-Band. IEEE JSTARS, 2018, doi:10.1109/JSTARS.2018.2805775.

V. Brancato: The Influence of Soil Moisture, Agricultural Vegetation and Rain Interception in Differential SAR Interferometry. Dissertation, ETH Zurich, 2018. doi:10.3929/ethz-b-000239184.

S. R. Lutz, R. Krieg, C. Müller, M. Zink, K. Knöller, L. Samaniego, R. Merz: Spatial Patterns of Water Age: Using Young Water Fractions to Improve the Characterization of Transit Times in Contrasting Catchments. Water Resources Research, 54(7), 2018, doi:10.1029/2017WR022216

C. Montzka, K. Rötzer, H. R. Bogena, N. Sanchez, H. Vereecken: A New Soil Moisture Downscaling Approach for SMAP, SMOS, and ASCAT by Predicting Sub-Grid Variability. Remote Sensing, 10(3), 427, 2018, doi:10.3390/rs10030427.

M. Schrön, S. Zacharias, G. Womack, M. Köhli, D. Desilets, S.E. Oswald, J. Bumberger, H. Mollenhauer, S. Kögler, P. Remmler, M. Kasner, A. Denk, P. Dietrich: Intercomparison of cosmic-ray neutron sensors and water balance monitoring in an urban environment . Geosci. Instrum. Method. Data Syst. Discuss, 7, pp. 83-99, 2018, doi:10.5194/gi-7-83-2018.

M. Zink, J. Mai, M. Cuntz, L. Samaniego: Conditioning a Hydrologic Model Using Patterns of Remotely Sensed Land Surface Temperature. Water Resources Research, 54, 2018, doi:10.1002/2017WR021346.


S. Antonova, H. Sudhaus, T. Strozzi, S. Zwieback, A. Kääb, B. Heim, M. Langer, N. Bornemann, J. Boike: Thaw Subsidence of a Yedoma Landscape in Northern Siberia, Measured In Situ and Estimated from TerraSAR-X Interferometry. Remote Sensing, 10(4), 2018, doi:10.3390/rs10040494.

J. Griebel, W. Dierking: Impact of Sea Ice Drift Retrieval Errors, Discretization and Grid Type on Calculations of Ice Deformation. Remote Sens. 2018, 10(3), 393; doi:10.3390/rs10030393.

P. Malz, W. Meier, G. Casassa, R. Jaña, P. Skvarca, M.H. Braun: Elevation and Mass Changes of the Southern Patagonia Icefield Derived from TanDEM-X and SRTM Data. Remote Sens., 10(2), 188, 2018, doi:10.3390/rs10020188.

A. Parizzi, W. A. Jaber: Estimating Strain and Rotation From Wrapped SAR Interferograms. IEEE Geoscience and Remote Sensing Letters, 2018, doi:10.1109/LGRS.2018.2838763

Seehaus, T., Cook, A., Silva, A. B., and Braun, M. H.: Changes in glacier dynamics at the northern Antarctic Peninsula since 1985, The Cryosphere, 12(2), 2018, doi:10.5194/tc-12-577-2018.

S. Stettner, A. L. Beamish, A. Bartsch, B. Heim, G. Grosse, A. Roth, H. Lantuit: Monitoring Inter- and Intra-Seasonal Dynamics of Rapidly Degrading Ice-Rich Permafrost Riverbanks in the Lena Delta with TerraSAR-X Time Series. Remote Sens. 2018, 10(1), 51, 2018, doi:10.3390/rs10010051.

S. Vijay, M. Braun: Early 21st century spatially detailed elevation changes of Jammu and Kashmir glaciers (Karakoram–Himalaya). Global and Planetary Change, 165, pp. 137–146, 2018, doi:10.1016/j.gloplacha.2018.03.014.

S. Zwieback, S. Kokelj, F. Günther, J. Boike, G. Grosse, I. Hajnsek: Sub-seasonal thaw slump mass wasting is not consistently energy limited at the landscape scale The Cryosphere, 12, 549-564, 2018, doi:10.5194/tc-12-549-2018.

2018 | 2017 | 2016 | 2015 |2014 | 2013 – 2012