Prof. Dr. Hannes Taubenböck

• The Individual Walkable Neighborhood - Evaluating people-centered spatial units focusing on urban density Droin, Ariane; Wurm, Michael; Taubenböck, Hannes in Computers, Environment and Urban Systems (2023). 99 101893.
• The Unseen—An Investigative Analysis of Thematic and Spatial Coverage of News on the Ongoing Refugee Crisis in West Africa. Senaratne, H.; Mühlbauer, M.; Kiefl, R.; Cárdenas, A.; Prathapan, L.; Riedlinger, T.; Biewer, C.; Taubenböck, H. in ISPRS Int. J. Geo-Inf. (2023). 12
• Border regions across the globe: Analyzing border typologies, economic and political disparities, and development dynamics Taubenböck, H.; Otto, C.; Gülzau, F.; Mau, S. in Applied Geography (2023). 151 102866.
• Greener cities cost more green: Examining the impacts of different urban expansion patterns on NPP Zhong, Jing; Jiao, Limin; Droin, Ariane; Liu, Jiafeng; Lian, Xihong; Taubenböck, Hannes in Building and Environment (2023). 228 109876.

• Mapping of small water bodies with integrated spatial information for time series images of optical remote sensing Dong, Yuting; Fan, Libei; Zhao, Ji; Huang, Shusong; Geiß, Christian; Wang, Lizhe; Taubenböck, Hannes in Journal of Hydrology (2022). 614 128580.
• Dynamics of intra-urban employment geographies: A comparative study of U.S. and German metropolitan areas Heider, Bastian; Mast, Johannes; Roth, Duncan; Standfuß, Ines; Siedentop, Stefan; Taubenböck, Hannes in Journal of Urban Affairs (2022).
• Estimating housing vacancy rates at block level: The example of Guiyang, China Shi, Lifeng; Wurm, Michael; Huang, Xianjin; Zhong, Taiyang; Leichtle, Tobias; Taubenböck, Hannes in Landscape and Urban Planning (2022). 224 104431.
• New paper published on Data-driven prediction of COVID-19 cases in Germany in the journal BMC Medical Research Methodology L, Refisch; F, Lorenz; T, Riedlinger; H, Taubenböck; M, Fischer; L, Grabenhenrich; M, Wolkewitz; H, Binder; C, Kreutz in BMC Medical Research Methodology. (2022). 22(116)
• Empiric recommendations for population disaggregation under different data scenarios Sapena, Marta; Kühnl, Marlene; Wurm, Michael; Patino, Jorge E.; Duque, Juan C.; Taubenböck, Hannes in PLOS ONE (2022). 17(9) 1–29.
• Time series enable the characterization of small-scale vegetation dynamics that influence fine-scale animal behavior – an example from white storks’ foraging behavior. Standfuß, Ines; Geiß, Christian; Nathan, Ran; Rotics, Shay; Scacco, Martina; Kerr, Grégoire; Taubenböck, Hannes in Remote Sensing in Ecology and Conservation (2022).
• Housing forms of poverty in Europe - A categorization based on literature research and satellite imagery Kraff, Nicolas J.; Wurm, Michael; Taubenböck, Hannes in Applied Geography (2022). 149 102820.

• Automated building characterization for seismic risk assessment using street-level imagery and deep learning Aravena Pelizari, Patrick; Geiß, Christian; Aguirre, Paula; Santa María, Hernán; Merino Peña, Yvonne; Taubenböck, Hannes in ISPRS Journal of Photogrammetry and Remote Sensing (2021). 180 370–386.
• Which city is the greenest? A multi-dimensional deconstruction of city rankings Taubenböck, H.; Reiter, M.; Dosch, F.; Leichtle, T.; Weigand, M.; Wurm, M. in Computers, Environment and Urban Systems (2021). 89 101687.
• Defining pathways to healthy sustainable urban development Tonne, Cathryn; Adair, Linda; Adlakha, Deepti; Anguelovski, Isabelle; Belesova, Kristine; Berger, Maximilian; Brelsford, Christa; Dadvand, Payam; Dimitrova, Asya; Giles-Corti, Billie; Heinz, Andreas; Mehran, Nassim; Nieuwenhuijsen, Mark; Pelletier, François; Ranzani, Otavio; Rodenstein, Marianne; Rybski, Diego; Samavati, Sahar; Satterthwaite, David; Schöndorf, Jonas; Schreckenberg, Dirk; Stollmann, Jörg; Taubenböck, Hannes; Tiwari, Geetam; van Wee, Bert; Adli, Mazda in Environment International (2021). 146 106236.

• Urbanization that hides in the dark – Spotting China’s “ghost neighborhoods” from space Shi, Lifeng; Wurm, Michael; Huang, Xianjin; Zhong, Taiyang; Leichtle, Tobias; Taubenböck, Hannes in Landscape and Urban Planning (2020). 200 103822.
• The dynamics of poor urban areas - analyzing morphologic transformations across the globe using Earth observation data Kraff, Nicolas J.; Wurm, Michael; Taubenböck, Hannes in Cities (2020). 107 102905.
• Multistrategy ensemble regression for mapping of built-up density and height with Sentinel-2 data Geiß, Christian; Schrade, Henrik; Aravena Pelizari, Patrick; Taubenböck, Hannes in ISPRS Journal of Photogrammetry and Remote Sensing (2020). 170 57–71.
• Seven city types representing morphologic configurations of cities across the globe Taubenböck, H.; Debray, H.; Qiu, C.; Schmitt, M.; Wang, Y.; Zhu, X.X. in Cities (2020). 105 102814.
• Mapping Plastic Greenhouses Using Spectral Metrics Derived From GaoFen-2 Satellite Data Shi, Lifeng; Huang, Xianjin; Zhong, Taiyang; Taubenböck, Hannes in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2020). (49-59)
• Deriving urban mass concentrations using TanDEM-X and Sentinel-2 data for the assessment of morphological polycentricity Standfuß, I.; Geiß, C.; Kühnl, M.; Wurm, M.; Siedentop, S.; Heider, B.; Taubenböck, H. in IEEE International Geoscience and Remote Sensing Sysposium 2020 (2020). 4219–4222.
• Air Quality Monitoring and Data Management in Germany - Status Quo and Suggestions for Improvement Petry, Lisanne; Herold, Hendrik; Meinel, Gotthard; Meiers, Thomas; Müller, Inken; Kalusche, Elena; Erbertseder, Thilo; Taubenböck, Hannes; Zaunseder, Elaine; Srinivasan, Vignesh; Osman, Ahmed Mohamed Magdi Mohamed; Weber, Beatrix; Jäger, Stefan; Mayer, Christian; Gengenbach, Christian (2020).
• Measuring the spatial hierarchical urban system in China in reference to the Central Place Theory Shi, Lifeng; Wurm, Michael; Huang, Xianjin; Zhong, Taiyang; Taubenböck, Hannes in Habitat International (2020). 105 102264.
• Continental-scale mapping and analysis of 3D building structure Li, Mengmeng; Koks, Elco; Taubenböck, Hannes; van Vliet, Jasper in Remote Sensing of Environment (2020). 245 111859.
• Mapping Plastic Greenhouses Using Spectral Metrics Derived From GaoFen-2 Satellite Data Shi, L.; Huang, X.; Zhong, T.; Taubenböck, H. in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2020). 13 49–59.
• Satellite-Based Mapping of Urban Poverty With Transfer-Learned Slum Morphologies Stark, T.; Wurm, M.; Zhu, X. X.; Taubenböck, H. in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2020). 13 5251–5263.
• Uncertainties of Human Perception in Visual Image Interpretation in Complex Urban Environments Kraff, N. J.; Wurm, M.; Taubenböck, H. in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2020). 13 4229–4241.
• Satellitendaten zur Erfassung gesundheitsrelevanter Umweltbedingungen: Beispiele und interdisziplinäre Potenziale Taubenböck, Hannes; Schmich, Patrick; Erbertseder, Thilo; Müller, Inken; Tenikl, Julia; Weigand, Matthias; Staab, Jeroen; Wurm, Michael in Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz (2020). 63(8) 936–944.
• Analyzing Links between Spatio-Temporal Metrics of Built-Up Areas and Socio-Economic Indicators on a Semi-Global Scale Sapena, Marta; Ruiz, Luis A.; Taubenböck, Hannes (2020).
• Inferring floor area ratio thresholds for the delineation of city centers based on cognitive perception Wurm, Michael; Goebel, Jan; Wagner, Gert G.; Weigand, Matthias; Dech, Stefan; Taubenböck, Hannes in Environment and Planning B: Urban Analytics and City Science (2020).
• Spatial and semantic effects of LUCAS samples on fully automated land use/land cover classification in high-resolution Sentinel-2 data Weigand, Matthias; Staab, Jeroen; Wurm, Michael; Taubenböck, Hannes in International Journal of Applied Earth Observation and Geoinformation (2020). 88 102065.
• Spectral-Spatial Classification Integrating Band Selection for Hyperspectral Imagery With Severe Noise Bands Zhao, J.; Tian, S.; Geiß, C.; Wang, L.; Zhong, Y.; Taubenböck, H. in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2020). 13 1597–1609.
• Misperceptions of Predominant Slum Locations? Spatial Analysis of Slum Locations in Terms of Topography Based on Earth Observation Data Müller, Inken; Taubenböck, Hannes; Kuffer, Monika; Wurm, Michael in Remote Sensing (2020). 12(15) 2474.

• Patterns of Eastern European urbanisation in the mirror of Western trends textendash Convergent, unique or hybrid? Taubenböck, H; Gerten, C; Rusche, K; Siedentop, S; Wurm, M in Environment and Planning B: Urban Analytics and City Science (2019). 46(7) 1206–1225.
• Has Dongying developed to a ghost city? - Evidence from multi-temporal population estimation based on VHR remote sensing and census counts Leichtle, Tobias; Lakes, Tobia; Zhu, Xiao Xiang; Taubenböck, Hannes in Computers, Environment and Urban Systems (2019). 78 101372.
• A transferable remote sensing approach to classify building structural types for seismic risk analyses: the case of Val d’Agri area (Italy) Liuzzi, Mariangela; Aravena Pelizari, Patrick; Geiß, Christian; Masi, Angelo; Tramutoli, Valerio; Taubenböck, Hannes in Bulletin of Earthquake Engineering (2019). 17(9) 4825–4853.
• Inferring floor area ratio thresholds for the delineation of city centers based on cognitive perception Wurm, Michael; Goebel, Jan; Wagner, Gert G; Weigand, Matthias; Dech, Stefan; Taubenböck, Hannes in Environment and Planning B: Urban Analytics and City Science (2019). 239980831986934.
• Understanding an urbanizing planet: Strategic directions for remote sensing Zhu, Zhe; Zhou, Yuyu; Seto, Karen C.; Stokes, Eleanor C.; Deng, Chengbin; Pickett, Steward T.A.; Taubenböck, Hannes in Remote Sensing of Environment (2019). 228 164–182.
• Modelling the impact of the urban spatial structure on the choice of residential location using ‘big earth data’ and machine learning Wurm, M.; Weigand, M.; Stark, T.; Goebel, J.; Wagner, G. G.; Taubenböck, H. in 2019 Joint Urban Remote Sensing Event (JURSE) (2019). 1–4.
• Slum Mapping in Imbalanced Remote Sensing Datasets Using Transfer Learned Deep Features Stark, T.; Wurm, M.; Taubenböck, H.; Zhu, X. X. in 2019 Joint Urban Remote Sensing Event (JURSE) (2019). 1–4.
• Sensitivity of slum size distributions as a function of spatial parameters for slum classification Friesen, J.; Knoche, C.; Hartig, J.; Pelz, P. F.; Taubenböck, H.; Wurm, M. in 2019 Joint Urban Remote Sensing Event (JURSE) (2019). 1–4.
• How dynamic are slums? EO-based assessment of Kibera’s morphologic transformation Kraff, N. J.; Taubenböck, H.; Wurm, M. in 2019 Joint Urban Remote Sensing Event (JURSE) (2019). 1–4.
• Size Distributions for Morphological Slums in Asia and South America Friesen, J.; Lestakova, M.; Kaltenmorgen, J.; Nahaganeshan, S.; Pelz, P. F.; Taubenböck, H.; Wurm, M. in 2019 Joint Urban Remote Sensing Event (JURSE) (2019). 1–4.
• A new ranking of the world’s largest cities—Do administrative units obscure morphological realities? Taubenböck, H.; Weigand, M.; Esch, T.; Staab, J.; Wurm, M.; Mast, J.; Dech, S. in Remote Sensing of Environment (2019). 232 111353.

• Are We in Boswash Yet? A Multi-Source Geodata Approach to Spatially Delimit Urban Corridors Georg, Isabel; Blaschke, Thomas; Taubenböck, Hannes in ISPRS International Journal of Geo-Information (2018). 7(1) 15.

• A Global Inventory of Urban Corridors Based on Perceptions and Night-Time Light Imagery Georg, Isabel; Blaschke, Thomas; Taubenböck, Hannes in ISPRS International Journal of Geo-Information (2016). 5(12) 233.
• New spatial dimensions of global cityscapes: From reviewing existing concepts to a conceptual spatial approach Georg, Isabel; Blaschke, Thomas; Taubenböck, Hannes in Journal of Geographical Sciences (2016). 26(3) 355–380.

• The spatial network of megaregions - Types of connectivity between cities based on settlement patterns derived from EO-data Taubenböck, H.; Wiesner, M. in Computers, Environment and Urban Systems (2015). 54 165–180.

• New dimensions of urban landscapes: The spatio-temporal evolution from a polynuclei area to a mega-region based on remote sensing data Taubenböck, H.; Wiesner, M.; Felbier, A.; Marconcini, M.; Esch, T.; Dech, S. in Applied Geography (2014). 47 137–153.

• Satellites: make data freely accessible Turner, W; Buchanan, G; Rondinini, C; Dwyer, J; Herold, M; Koh, L Pin; Leidner, A; Leimgruber, P; Mora, B; Pettorelli, N; Szantoi, Z; Taubenböck, Hannes; Wegmann, Martin; Wikelski, M in Nature (2013). 498(37) 37.

• Object-based feature extraction using high spatial resolution satellite data of urban areas Taubenböck, H.; Esch, T.; Wurm, M.; Roth, A.; Dech, S. in Journal of Spatial Science (2010). 55(1) 111–126.

• Urbanization in India – Spatiotemporal analysis using remote sensing data Taubenböck, H.; Wegmann, M.; Roth, A.; Mehl, H.; Dech, S. in Computers, Environment and Urban Systems (2009). 33(3) 179–188.
• Last-Mile preparation for a potential disaster – Interdisciplinary approach towards tsunami early warning and an evacuation information system for the coastal city of Padang, Indonesia Taubenböck, H.; Goseberg, N.; Setiadi, N.; Lämmel, G.; Moder, F.; Oczipka, M.; Klüpfel, H.; Wahl, R.; Schlurmann, T.; Strunz, G.; Birkmann, J.; Nagel, K.; Siegert, F.; Lehmann, F.; Dech, S.; Gress, A.; Klein, R. in Natural Hazards and Earth System Sciences (2009). 9(4) 1509–1528.

• A conceptual vulnerability and risk framework as outline to identify capabilities of remote sensing Taubenböck, H.; Post, J.; Roth, A.; Zosseder, K.; Strunz, G.; Dech, S. in Natural Hazards and Earth System Sciences (2008). 8(3) 409–420.

• The capabilities of remote sensing to support disaster management: A case study of the district Üsküdar in Istanbul, Turkey Taubenböck, H.; Roth, A.; Dech, S.; Mehl, H. in Turkish Journal of Disaster (2007). 2(1)