piwik-script

Deutsch Intern
INSTITUTE OF GEOGRAPHY AND GEOLOGY

Prof. Dr. Hannes Taubenböck

Chair holder of the Department
of Global Urbanization and Remote Sensing
in cooperation with the German Aerospace Center (DLR)

   +49 (0)931 31 86778
   +49 (0)8153 28-2480

 hannes.taubenboeck@uni-wuerzburg.de
 hannes.taubenboeck@dlr.de

Thematic:

  • research on global urbanization:
    • area- and population growth
    • expansion of urban areas in natural landscapes
    • analysis of urban structures
    • categorization of urban types
  • research on informal settlements
    • slum expansion and structures of urban poverty
    • refugee camps
  • research on exposition and vulnerability of natural hazards
    • classification and assessment of exposed assets like buildings
  • research on expostion of environmental change
    • urban heat islands
    • airquality
    • noise
  • research on migration
    • combination of remote sensing and social-media data
  • animal-environmental interaction research

Methods:

  • classification methods (ML/KI) concerning EO data
  • multi-disciplinary data analysis (remote sensing social media, etc.)
  • spatial pattern analysis

upon request

since 2022
full professor at the JMU, chair holder of the department of "global urbanization and remote sensing"

since 2009
lecturer at the Julius-Maximilians Universität Würzburg.

2015 - 2019
Habilitation at the Julius-Maximilians Universität Würzburg; title: Remote Sensing for the Analysis of Global Urbanization.

2005 - 2008
PhD (Dr. rer. nat.) at the Julius-Maximilians Universität Würzburg; title: assessment of the vulnerability of the megacity Istanbul with means of remote sensing

1999 - 2004
studies of Geography with remote sensing, spatial planning and geoinformation at the Ludwig-Maximilians-Universität München.

2023[ to top ]
  • YOLO object detection models can locate and classify broad groups of flower-visiting arthropods in images Stark, T.; Ştefan, V.; Wurm, M.; Spanier, R.; Taubenboeck, H.; Knight, T. M. in Nature Sci Rep (2023). 13(16364)
  • A structural catalog of the settlement morphology in refugee and IDP camps. Weigand, M; Worbis, S; Sapena, M; Taubenböck, H in International Journal of Geographical Sciences. (2023). 37(6) 1338–1364.
  • 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.
  • 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.
  • 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.
  • 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
  • Quantitative assessment and comparison of urban patterns in Germany and the United States Schmitt, Andreas; Uth, Philipp; Standfuß, Ines; Heider, Bastian; Siedentop, Stefan; Taubenböck, Hannes in Computers, Environment and Urban Systems (2023). 100 101920.
  • Spatially-optimized urban greening for reduction of population exposure to land surface temperature extremes. Massaro, E; Schifanella, R; Piccardo, M; Caporaso, L; Taubenböck, H; Cescatti, A; G, Duveiller in Nature communications (2023). 14(2903)
  • Litter on the streets - solid waste detection using VHR images. Ulloa-Torrealba, Y; Schmitt, A; Wurm, M; Taubenböck, H in European Journal of Remote Sensing (2023). 56(1)
  • Deep Neural Network Regression for Digital Surface Model Generation with Sentinel-2 Imagery. Müller, K; Leppich, R; Geiß, C; Borst, V; Aravena-Pelizari, P; Kounev, S; Taubenböck, H in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. (2023).
  • Quantifying urban heat exposure at fine scale - modeling outdoor and indoor temperatures using citizen science and VHR remote sensing Leichtle, Tobias; Kühnl, Marlene; Droin, Ariane; Beck, Christoph; Hiete, Michael; Taubenböck, Hannes in Urban Climate (2023). 49 101522.
  • EU Cohesion Policy on the Ground: Analyzing Small-Scale Effects Using Satellite Data. Bachtrögler-Unger, J; Dolls, M; Schuele, P; Taubenböck, H; Weigand, M in Regional Science and Urban Economics (2023).
  • Deep multitask learning with label interdependency distillation for multicriteria street-level image classification. Aravena Pelizari, P; Geiß, C; Groth, S; Taubenböck, H in ISPRS Journal of Photogrammetry and Remote Sensing. (2023).
  • Does urban growth mean the loss of greenness? A multi-temporal analysis for Chinese cities Yu, Sisi; Leichtle, Tobias; Zhang, Zengxiang; Liu, Fang; Wang, Xiao; Yan, Xue; Taubenböck, Hannes in Science of The Total Environment (2023). 898 166373.
  • Planned, unplanned, or in-between? A concept of the intensity of plannedness and its empirical relation to the built urban landscape across the globe Debray, Henri; Kraff, Nicolas J.; Zhu, Xiao Xiang; Taubenböck, Hannes in Landscape and Urban Planning (2023). 233 104711.
  • Learning income levels and inequality from spatial and sociodemographic data in Germany Garbasevschi, Oana M.; Taubenböck, Hannes; Schüle, Paul; Baarck, Julia; Hufe, Paul; Wurm, Michael; Peichl, Andreas in Applied Geography (2023). 159 103058.
  • In the tension between large-scale analysis and accuracy - Identifying and analysing intra-urban (sub-)centre structures comparing official 3D-building models and TanDEM-X nDSMs Standfuß, Ines; Geiß, Christian; Kühnl, Marlene; Droin, Ariane; Mast, Johannes; Wurm, Michael; Siedentop, Stefan; Heider, Bastian; Taubenböck, Hannes in Computers, Environment and Urban Systems (2023). 102 101953.
  • The UnseentextemdashAn Investigative Analysis of Thematic and Spatial Coverage of News on the Ongoing Refugee Crisis in West Africa Senaratne, Hansi; Mühlbauer, Martin; Kiefl, Ralph; Cárdenas, Andrea; Prathapan, Lallu; Riedlinger, Torsten; Biewer, Carolin; Taubenböck, Hannes in ISPRS International Journal of Geo-Information (2023). 12(4) 175.
  • Spatial delineation of urban corridors in North America: An approach incorporating fuzziness based on multi-source geospatial data Georg, Isabel; Blaschke, Thomas; Taubenböck, Hannes in Cities (2023). 133 104129.
2022[ to top ]
  • 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).
  • 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.
  • 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.
  • 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)
  • 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.
  • 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).
  • 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.
  • To be, or not to be ‘urban’? A multi-modal method for the differentiated measurement of the degree of urbanization Taubenböck, H.; Droin, A.; Standfuß, I.; Dosch, F.; Sander, N.; Milbert, A.; Eichfuss, S.; Wurm, M. in Computers, Environment and Urban Systems (2022). 95 101830.
  • Benefits of Global Earth Observation Missions for Exposure Estimation and Earthquake Loss Modelling textendash Evidence from Santiago de Chile, Chile Geiß, Christian; Priesmeier, Peter; Pelizari, Patrick Aravena; Calderon, Angélica Rocio Soto; Schoepfer, Elisabeth; Riedlinger, Torsten; Vega, Mabé Villar; Mar’i}}a, Hernán Santa; Zapata, Juan Camilo Gómez; Pittore, Massimiliano; So, Emily; Fekete, Alexander; Taubenböck, Hannes (2022).
  • Earth Observation and Artificial Intelligence: Understanding emerging ethical issues and opportunities Kochupillai, Mrinalini; Kahl, Matthias; Schmitt, Michael; Taubenböck, Hannes; Zhu, Xiao Xiang (2022).
  • Selection of unlabeled source domains for domain adaptation in remote sensing Geiß, Christian; Rabuske, Alexander; Aravena Pelizari, Patrick; Bauer, Stefan; Taubenböck, Hannes in Array (2022). 15 100233.
  • 2So2Sat POP – A Curated Benchmark Data Set for Population Estimation from Space on a Continental Scale. Doda, S; Wang, Y; Kahl, M; Taubenböck, H; Zhu, XX in Nature Scientific Data. (2022). 9(715)
  • Intra-metropolitan Employment Concentration in the 21st Century: A comparative study of U.S. and German Metropolitan Areas. Heider, B; Roth, D; Standfuß, I; Mast, J; Siedentop, S; Taubenböck, H in Journal of Urban Affairs (2022).
  • Geo-Information Harvesting from Social Media Data Zhu, Xiao Xiang; Wang, Yuanyuan; Kochupillai, Mrinalini; Werner, Martin; Häberle, Matthias; Hoffmann, Eike Jens; Taubenböck, Hannes; Tuia, Devis; Levering, Alex; Jacobs, Nathan; Kruspe, Anna; Abdulahhad, Karam (2022).
2021[ to top ]
  • 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.
  • 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.
  • 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.
2020[ to top ]
  • 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.
  • 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.
  • 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).
  • 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)
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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).
  • 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.
  • 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.
  • 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).
  • 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.
  • 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.
  • 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 (2020).
2019[ to top ]
  • 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 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • Patterns of Eastern European Urbanisation in the Mirror of Western Trends – 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.
  • Urbanization between compactness and dispersion – Designing a spatial model for measuring 2D binary settlement landscape configurations. Taubenböck, H; Wurm, M; Geiß, C; Dech, S; Siedentop, S in International Journal of Digital Earth (2019). 12(6) 679–698.
  • 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.
2018[ to top ]
  • Are the Poor Digitally Left Behind? Indications of Urban Divides Based on Remote Sensing and Twitter Data Taubenböck, Hannes; Staab, Jeroen; Zhu, Xiao; Geiß, Christian; Dech, Stefan; Wurm, Michael in ISPRS International Journal of Geo-Information (2018). 7(8) 304.
  • 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.
  • The morphology of the Arrival City - A global categorization based on literature surveys and remotely sensed data Taubenböck, H.; Kraff, N.J.; Wurm, M. in Applied Geography (2018). 92 150–167.
2017[ to top ]
  • Measuring morphological polycentricity - A comparative analysis of urban mass concentrations using remote sensing data Taubenböck, H.; Standfuß, I.; Wurm, M.; Krehl, A.; Siedentop, S. in Computers, Environment and Urban Systems (2017). 64 42–56.
2016[ to top ]
  • The Physical Density of the CitytextemdashDeconstruction of the Delusive Density Measure with Evidence from Two European Megacities Taubenböck, Hannes; Standfuß, Ines; Klotz, Martin; Wurm, Michael in ISPRS International Journal of Geo-Information (2016). 5(11) 206.
  • 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.
2015[ to top ]
  • Wo beginnt die Stadt? Urbane Fernerkundung für stadtgeographische Forschung Taubenböck, Hannes; Wurm, Michael (2015).
  • 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.
2014[ to top ]
  • 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.
  • The physical face of slums: a structural comparison of slums in Mumbai, India, based on remotely sensed data Taubenböck, H.; Kraff, N. J. in Journal of Housing and the Built Environment (2014). 29(1) 15–38.
2013[ to top ]
  • Delineation of Central Business Districts in mega city regions using remotely sensed data Taubenböck, H.; Klotz, M.; Wurm, M.; Schmieder, J.; Wagner, B.; Wooster, M.; Esch, T.; Dech, S. in Remote Sensing of Environment (2013). 136 386–401.
  • 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.
2012[ to top ]
  • Monitoring urbanization in mega cities from space Taubenböck, H.; Esch, T.; Felbier, A.; Wiesner, M.; Roth, A.; Dech, S. in Remote Sensing of Environment (2012). 117 162–176.
2010[ to top ]
  • 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.
2009[ to top ]
  • 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.
2008[ to top ]
  • 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.
2007[ to top ]
  • 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)