Peer-reviewed Journal Articles (selected)

  • Dabiri, Z., Hölbling, D., Abad, L., Helgason, J.K., Sæmundsson, Þ., Tiede, D., 2020. Assessment of Landslide-Induced Geomorphological Changes in Hítardalur Valley, Iceland, Using Sentinel-1 and Sentinel-2 Data. Applied Sciences, 10, 5848.
  • Robson, B.A., Bolch, T., MacDonell, S., Hölbling, D., Rastner, P., Schaffer, N., 2020. Automated detection of rock glaciers using deep learning and object-based image analysis. Remote Sensing of Environment, 250, 112033.
  • Emmer, A., Klimeš, J., Hölbling, D., Abad, L., Draebing, D., Skalák, P., Štěpánek, P., Zahradníček, P., 2020. Distinct types of landslides in moraines associated with the post-LIA glacier thinning: Observations from the Kinzl Glacier, Huascarán, Peru. Science of The Total Environment, 739, 139997.
  • Gudiyangada Nachappa, T., Kienberger, S., Meena, S.R., Hölbling, D., Blaschke, T., 2020. Comparison and validation of per-pixel and object-based approaches for landslide susceptibility mapping. Geomatics, Natural Hazards and Risk, 11(1), 572-600.
  • Hölbling, D., Abad, L., Dabiri, Z., Prasicek, G., Tsai, T.-T., Argentin, A.-L., 2020. Mapping and Analyzing the Evolution of the Butangbunasi Landslide Using Landsat Time Series with Respect to Heavy Rainfall Events during Typhoons. Applied Sciences, 10(2), 630.
  • Kothencz, G., Albrecht, F., Hölbling, D., Pürmayr, K., Osberger, A., 2018. Integrated analysis of urban green spaces and recreation areas: transferability and applicability. Acta Horticulturae, 1215, 319-324.
  • Hölbling, D., Eisank, C., Albrecht, F., Vecchiotti, F., Friedl, B., Weinke, E., Kociu, A., 2017. Comparing Manual and Semi-Automated Landslide Mapping Based on Optical Satellite Images from Different Sensors. Geosciences, 7(2), 37.
  • Hölbling, D., Betts, H., Spiekermann, R., Phillips, C., 2016. Identifying Spatio-Temporal Landslide Hotspots on North Island, New Zealand, by Analyzing Historical and Recent Aerial Photography. Geosciences, 6, 48.
  • Casagli, N., Cigna, F., Bianchini, S., Hölbling, D., Füreder, P., Righini, G., Del Conte, S., Friedl, B., Schneiderbauer, S., Iasio, C., Vlcko, J., Greif, V., Proske, H., Granica, K., Falco, S., Lozzi, S., Mora, O., Arnaud, A., Novali, F., Bianchi, M., 2016. Landslide mapping and monitoring by using radar and optical remote sensing: Examples from the EC-FP7 project SAFER. Remote Sensing Applications: Society and Environment, 4, 92-108.
  • Hagenlocher, M., Hölbling, D., Kienberger, S., Vanhuysse, S., Zeil, P., 2016. Spatial assessment of social vulnerability in the context of landmines and explosive remnants of war in Battambang province, Cambodia. International Journal of Disaster Risk Reduction, 15, 148-161.
  • Robson, B.A., Hölbling, D., Nuth, C., Strozzi, T., Dahl, S.O., 2016. Decadal Scale Changes in Glacier Area in the Hohe Tauern National Park (Austria) Determined by Object-Based Image Analysis. Remote Sensing, 8(1), 67.  
  • Robson, B.A., Nuth, C., Dahl, S.O., Hölbling, D., Strozzi, T., Nielsen, P.R., 2015. Automated classification of debris-covered glaciers combining optical, SAR and topographic data in an object-based environment. Remote Sensing of Environment, 170, 372-387.
  • Hölbling, D., Friedl, B., Eisank, C., 2015. An object-based approach for semi-automated landslide change detection and attribution of changes to landslide classes in northern Taiwan. Earth Science Informatics, 8 (2), 327-335.
  • Blaschke, T., Feizizadeh, B., Hölbling, D., 2014. Object-Based Image Analysis and Digital Terrain Analysis for Locating Landslides in the Urmia Lake Basin, Iran. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), 7 (12), 4806-4817.
  • Hagenlocher, Lang, S., Hölbling, D., Tiede, D., Kienberger, S., 2014. Modeling hotspots of climate change in the Sahel using object-based regionalization of multi-dimensional gridded datasets. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), 7 (1), 229-234.
  • Tiede, D., Füreder, P., Lang, S., Hölbling, D., Zeil, P., 2013. Automated Analysis of Satellite Imagery to provide Information Products for Humanitarian Relief Operations in Refugee Camps - from Scientific Development towards Operational Services. PFG Photogrammetrie, Fernerkundung, Geoinformation, 3/2013, 185-195.
  • Hölbling, D., Füreder, P., Antolini, F., Cigna, F., Casagli, N., Lang, S., 2012. A Semi-Automated Object-Based Approach for Landslide Detection Validated by Persistent Scatterer Interferometry Measures and Landslide Inventories. Remote Sensing, 4 (5), 1310-1336.
  • Tiede, D., Lang, S., Füreder, P., Hölbling, D., Hoffmann, C., Zeil, P., 2011. Automated damage indication for rapid geospatial reporting. Photogrammetric Engineering & Remote Sensing, Special Issue: Haiti Earthquake, Part 1, 77 (2), 933-942.
  • Lang, S., Tiede, D., Hölbling, D., Füreder, P., Zeil, P., 2010. Earth observation (EO)-based ex post assessment of internally displaced person (IDP) camp evolution and population dynamics in Zam Zam, Darfur. International Journal of Remote Sensing, 31 (21), 5709-5731.
  • Tiede, D., Lang, S., Albrecht, F., Hölbling, D., 2010. Object-based class modeling for cadastre-constrained delineation of geo-objects. Photogrammetric Engineering and Remote Sensing (PE&RS), 76 (2), 193-202.

A complete list of publications can found here:

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    Researchers in the Department of Geoinformatics at the PLUS have been working for several years on national and international research projects on topics sich as humanitarian management, refugee management, natural disasters as well as COVID-19. They have analysed and evaluated billions of geo-referenced social media data. The results serve stakeholders as an important basis for decision making.
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