Hannes Taubenböck
Hannes Taubenböck
German Aerospace Center (DLR) and University of Würzburg
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Cited by
Cited by
Monitoring urbanization in mega cities from space
H Taubenböck, T Esch, A Felbier, M Wiesner, A Roth, S Dech
Remote Sensing of Environment 117, 162-176, 2012
Urbanization in India–Spatiotemporal analysis using remote sensing data
H Taubenböck, M Wegmann, A Roth, H Mehl, S Dech
Computers, Environment and Urban Systems 33 (3), 179-188, 2009
Free and open-access satellite data are key to biodiversity conservation
W Turner, C Rondinini, N Pettorelli, B Mora, AK Leidner, Z Szantoi, ...
Biological Conservation 182, 173-176, 2015
Urban footprint processor—Fully automated processing chain generating settlement masks from global data of the TanDEM-X mission
T Esch, M Marconcini, A Felbier, A Roth, W Heldens, M Huber, ...
IEEE Geoscience and Remote Sensing Letters 10 (6), 1617-1621, 2013
Building instance classification using street view images
J Kang, M Körner, Y Wang, H Taubenböck, XX Zhu
ISPRS journal of photogrammetry and remote sensing 145, 44-59, 2018
Semantic segmentation of slums in satellite images using transfer learning on fully convolutional neural networks
M Wurm, T Stark, XX Zhu, M Weigand, H Taubenböck
ISPRS journal of photogrammetry and remote sensing 150, 59-69, 2019
Understanding an urbanizing planet: Strategic directions for remote sensing
Z Zhu, Y Zhou, KC Seto, EC Stokes, C Deng, STA Pickett, H Taubenböck
Remote Sensing of Environment 228, 164-182, 2019
New dimensions of urban landscapes: The spatio-temporal evolution from a polynuclei area to a mega-region based on remote sensing data
H Taubenböck, M Wiesner, A Felbier, M Marconcini, T Esch, S Dech
Applied Geography 47, 137-153, 2014
The physical face of slums: a structural comparison of slums in Mumbai, India, based on remotely sensed data
H Taubenböck, NJ Kraff
Journal of Housing and the Built Environment 29 (1), 15-38, 2014
TanDEM-X mission—new perspectives for the inventory and monitoring of global settlement patterns
T Esch, H Taubenböck, A Roth, W Heldens, A Felbier, M Thiel, M Schmidt, ...
Journal of Applied Remote Sensing 6 (1), 061702-061702, 2012
A conceptual vulnerability and risk framework as outline to identify capabilities of remote sensing
H Taubenböck, J Post, A Roth, K Zosseder, G Strunz, S Dech
Nat. Hazards Earth Syst. Sci. 8, 409–420, 2008
" Last-Mile" preparation for a potential disaster–Interdisciplinary approach towards tsunami early warning and an evacuation information system for the coastal city of Padang …
H Taubenböck, N Goseberg, N Setiadi, G Lämmel, F Moder, M Oczipka, ...
Natural Hazards and Earth System Sciences 9 (4), 1509-1528, 2009
The morphology of the Arrival City-A global categorization based on literature surveys and remotely sensed data
H Taubenböck, NJ Kraff, M Wurm
Applied Geography 92, 150-167, 2018
Unsupervised change detection in VHR remote sensing imagery–an object-based clustering approach in a dynamic urban environment
T Leichtle, C Geiß, M Wurm, T Lakes, H Taubenböck
International Journal of Applied Earth Observation and Geoinformation 54, 15-27, 2017
How good is the map? A multi-scale cross-comparison framework for global settlement layers: Evidence from Central Europe
M Klotz, T Kemper, C Geiß, T Esch, H Taubenböck
Remote Sensing of Environment 178, 191-212, 2016
Object-based feature extraction using high spatial resolution satellite data of urban areas
H Taubenböck, T Esch, M Wurm, A Roth, S Dech
Journal of Spatial Science 55 (1), 117-132, 2010
Remote sensing contributing to assess earthquake risk: from a literature review towards a roadmap
C Geiß, H Taubenböck
Natural Hazards 68, 7-48, 2013
Measuring morphological polycentricity-A comparative analysis of urban mass concentrations using remote sensing data
H Taubenböck, I Standfuß, M Wurm, A Krehl, S Siedentop
Computers, Environment and Urban Systems 64, 42-56, 2017
Detecting social groups from space–Assessment of remote sensing-based mapped morphological slums using income data
M Wurm, H Taubenböck
Remote Sensing Letters 9 (1), 41-50, 2018
Estimation of seismic building structural types using multi-sensor remote sensing and machine learning techniques
C Geiß, PA Pelizari, M Marconcini, W Sengara, M Edwards, T Lakes, ...
ISPRS Journal of Photogrammetry and Remote Sensing 104, 175-188, 2015
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