Aktuelle Publikationen / Publications

Prof. Dr. Alexander Brenning

Selected recent publications:

ORCiD: 0000-0001-6640-679X
ResearcherID: E-6022-2011
Number of Publications in Web of Science:   88 
h-index:  28
Times Cited:  3070 
Average Citations per Item: 34.89

  • Cortés, J., Mahecha, M.D., Reichstein, M., Myneni, R.B., Chen, C., Brenning, A. (2021). Where are global greening and browning trends significant? Geophysical Research Letters, 48(6): e2020GL091496.
  • Estupinan-Suarez, L.M., Gans, F., Brenning, A., Gutierrez–Velez, V.H., Londono, M.C., Pabon–Moreno, D.E., Poveda, G., Reichstein, M., Reu, B., Sierra, C.A., Weber, U., Mahecha, M.D. (2021). A regional Earth system data lab for understanding ecosystem dynamics: An example from tropical South America. Frontiers in Earth Science, 9: 613395. https://doi.org/10.3389/feart.2021.613395
  • Knevels, R., Brenning, A., Gingrich, S., Heiss, G., Lechner, T., Leopold, P., Plutzar, C., Proske, H., Petschko, H. Towards the use of land use legacies in landslide modeling: Current challenges and future perspectives in an Austrian case study. Land, 10(9), 954. https://doi.org/10.3390/land10090954
  • Knevels, R., Brenning, A., Gingrich, S., Gruber, E., Lechner, T., Leopold, P., Petschko, H., Plutzar, C. (2021). Kulturlandschaft im Wandel: Ein indikatorenbasierter Rückblick bis in das 19. Jahrhundert. Fallstudie anhand der Gemeinden Waidhofen/Ybbs und Paldau. Mitteilungen der Österreichischen Geographischen Gesellschaft, 162: 255-285. https://doi.org/10.1553/moegg162s255
  • Urquiza-Munoz, J.D., Magnabosco-Marra, D., Negrón-Juárez, R.I., Tello-Espinoza, R., Alegria-Muñoz, W., Pacheco-Gómez, T., Rifai, S.W., Chambers, J.Q., Jenkins, H.S., Brenning, A., Trumbore, S. (2021). Recovery of forest structure following large-scale windthrows in the Northwestern Amazon. Forests, 12(6): 667.
  • Wang, Z., Brenning, A. Active-learning approaches for landslide mapping using support vector machines. Remote Sensing, 13(13), 2588.
  • Brock, J., Schratz, P., Petschko, H., Muenchow, J., Micu, M., Brenning, A. (2020). The performance of landslide susceptibility models critically depends on the quality of digital elevations models. Geomatics Natural Hazards & Risk, 11: 1075-1092.
  • Cortés, J., Mahecha, M., Reichstein, M., Brenning, A. (2020). Accounting for multiple testing in the analysis of spatio-temporal environmental data. Environmental and Ecological Statistics, 27: 293-318.
  • Knevels, R., Petschko, H., Proske, H., Leopold, P., Maraun, D., Brenning, A. (2020). Event-based landslide modeling in the Styrian Basin, Austria: accounting for time-varying rainfall and land cover. Geosciences, 10, 217.
  • Linscheid, N., Estupiñán-Suárez, L.M., Brenning, A., and 7 others (2020). Towards a global understanding of vegetation-climate dynamics at multiple timescales. Biogeosciences, 17: 945-962.
  • Goetz, J., Brenning, A. (2019). Quantifying uncertainties in snow depth mapping from structure from motion photogrammetry in an alpine area. Water Resources Research, 55: 7772-7783.
  • Goetz, J., Fieguth, P., Kasiri, K., Bodin, X., Marcer, M., Brenning, A. (2019). Accounting for permafrost creep in high-resolution snow depth mapping by modelling sub-snow ground deformation. Remote Sensing of Environment, 231, 111275.
  • Knevels, R., Petschko, H., Leopold, P., Brenning, A. (2019). Geographic Object-Based Image Analysis for Automated Landslide Detection Using Open Source GIS Software. ISPRS International Journal of Geo-Information, 8, 551.
  • Schratz, P., Muenchow, J., Iturritxa, E., Richter, J., Brenning, A. (2019). Hyperparameter tuning and performance assessment of statistical and machine-learning algorithms using spatial data. Ecological Modelling, 406: 109-120.
  • Flach, M., Sippel, S., Gans, F., Bastos, A., Brenning, A., Reichstein, M., Mahecha, M. D. (2018). Contrasting biosphere responses to hydrometeorological extremes: revisiting the 2010 western Russian heatwave. Biogeosciences, 15: 6067-6085.
  • Goetz, J., Brenning, A., Marcer, M., Bodin, X. (2018). Modeling the precision of structure-from-motion multi-view stereo digital elevation models from repeated close-range aerial surveys. Remote Sensing of Environment, 210(1): 208-216.
  • Shen, Y.-J., Shen, Y., Fink, M., Kralisch, S., Chen, Y., Brenning, A. (2018). Unraveling the hydrology of the glacierized Kaidu basin by integrating multisource data in the Tianshan Mountains, Northwestern China. Water Resources Research, 54: 557-580.
  • Azócar, G.F., Brenning, A., Bodin, X. (2017). Permafrost distribution modelling in the semi-arid Chilean Andes. The Cryosphere, 11: 877-890.
  • Muenchow, J., Schratz, P., Brenning, A. (2017). RQGIS: Integrating R with QGIS for statistical geocomputing. R Journal, 9: 409-428.
  • Steger, S., Brenning, A., Bell, R., Petschko, H., Glade, T. (2016). Exploring discrepancies between quantitative validation results and the geomorphic plausibility of statistical landslide susceptibility maps. Geomorphology, 262: 8-23.
  • Albuquerque, J. P., Herfort, B., Brenning, A., Zipf, A. (2015). Geographic approach for combining social media and authoritative data towards improving information extraction for disaster management. International Journal of Geographic Information Science, 29(4): 667-689.
  • Goetz, J.N., Brenning, A., Petschko, H., Leopold, P. (2015). Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling. Computers & Geosciences, 81: 1-11.
  • Peña, M.A., Brenning, A. (2015). Assessing fruit-tree crop classification from Landsat-8 time series for the Maipo Valley, Chile. Remote Sensing of Environment, 171: 234-244.
  • Petschko, H., Brenning, A., Bell, R., Goetz, J., Glade, T. (2014). Assessing the quality of landslide susceptibility maps – case study Lower Austria. Natural Hazards and Earth System Sci., 14: 95-118.
  • Boeckli, L., Brenning, A., Gruber, S., Noetzli, J. (2012). A statistical approach to modelling permafrost distribution in the European Alps or similar mountain ranges. The Cryosphere, 6, 125-140.
  • Brenning, A. (2012): Spatial cross-validation and bootstrap for the assessment of prediction rules in remote sensing: the R package ‘sperrorest’. Proceedings, 2012 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 23-27 July 2012, 5372-5375.
  • Goetz, J., Guthrie, R., Brenning, A. (2011). Integrating physical and empirical landslide susceptibility models using generalized additive models. Geomorphology, 129: 376-386.