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
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.
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Harmonized NDVI time-series from Landsat and Sentinel-2 reveal phenological patterns of diverse, small-scale cropping systems in East Africa. . In Remote Sensing Applications: Society and Environment, 35, p. 101230. Elsevier BV, 2024.
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Planned, unplanned, or in-between? A concept of the intensity of plannedness and its empirical relation to the built urban landscape across the globe. . In Landscape and Urban Planning, 233, p. 104711. 2023.
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The UnseentextemdashAn Investigative Analysis of Thematic and Spatial Coverage of News on the Ongoing Refugee Crisis in West Africa. . In ISPRS International Journal of Geo-Information, 12(4), p. 175. MDPI AG, 2023.
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EU Cohesion Policy on the Ground: Analyzing Small-Scale Effects Using Satellite Data. . In Regional Science and Urban Economics. 2023.
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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. . In Computers, Environment and Urban Systems, 102, p. 101953. 2023.
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Spatial delineation of urban corridors in North America: An approach incorporating fuzziness based on multi-source geospatial data. . In Cities, 133, p. 104129. 2023.
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Border regions across the globe: Analyzing border typologies, economic and political disparities, and development dynamics. . In Applied Geography, 151, p. 102866. 2023.
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Does urban growth mean the loss of greenness? A multi-temporal analysis for Chinese cities. . In Science of The Total Environment, 898, p. 166373. 2023.
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Quantifying urban heat exposure at fine scale - modeling outdoor and indoor temperatures using citizen science and VHR remote sensing. . In Urban Climate, 49, p. 101522. 2023.
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Learning income levels and inequality from spatial and sociodemographic data in Germany. . In Applied Geography, 159, p. 103058. 2023.
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YOLO object detection models can locate and classify broad groups of flower-visiting arthropods in images. . In Nature Sci Rep, 13(16364). 2023.
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A structural catalog of the settlement morphology in refugee and IDP camps. . In International Journal of Geographical Sciences., 37(6), pp. 1338–1364. 2023.
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The Individual Walkable Neighborhood - Evaluating people-centered spatial units focusing on urban density. . In Computers, Environment and Urban Systems, 99, p. 101893. 2023.
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The Unseen—An Investigative Analysis of Thematic and Spatial Coverage of News on the Ongoing Refugee Crisis in West Africa. . In ISPRS Int. J. Geo-Inf., 12. 2023.
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Deep multitask learning with label interdependency distillation for multicriteria street-level image classification. . In ISPRS Journal of Photogrammetry and Remote Sensing. 2023.
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Litter on the streets - solid waste detection using VHR images. . In European Journal of Remote Sensing, 56(1). 2023.
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Greener cities cost more green: Examining the impacts of different urban expansion patterns on NPP. . In Building and Environment, 228, p. 109876. 2023.
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Deep Neural Network Regression for Digital Surface Model Generation with Sentinel-2 Imagery. . In IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2023.
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Quantitative assessment and comparison of urban patterns in Germany and the United States. . In Computers, Environment and Urban Systems, 100, p. 101920. 2023.
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Spatially-optimized urban greening for reduction of population exposure to land surface temperature extremes. . In Nature communications, 14(2903). 2023.
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Selection of unlabeled source domains for domain adaptation in remote sensing. . In Array, 15, p. 100233. 2022.
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Time series enable the characterization of small-scale vegetation dynamics that influence fine-scale animal behavior – an example from white storks’ foraging behavior. . In Remote Sensing in Ecology and Conservation. 2022.
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Intra-metropolitan Employment Concentration in the 21st Century: A comparative study of U.S. and German Metropolitan Areas. . In Journal of Urban Affairs. 2022.
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2So2Sat POP – A Curated Benchmark Data Set for Population Estimation from Space on a Continental Scale. . In Nature Scientific Data., 9(715). 2022.
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Mapping of small water bodies with integrated spatial information for time series images of optical remote sensing. . In Journal of Hydrology, 614, p. 128580. 2022.
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New paper published on Data-driven prediction of COVID-19 cases in Germany in the journal BMC Medical Research Methodology. . In BMC Medical Research Methodology., 22(116). 2022.
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Dynamics of intra-urban employment geographies: A comparative study of U.S. and German metropolitan areas. . In Journal of Urban Affairs. 2022.
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Housing forms of poverty in Europe - A categorization based on literature research and satellite imagery. . In Applied Geography, 149, p. 102820. 2022.
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Geo-Information Harvesting from Social Media Data. . 2022.
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Estimating housing vacancy rates at block level: The example of Guiyang, China. . In Landscape and Urban Planning, 224, p. 104431. 2022.
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Earth Observation and Artificial Intelligence: Understanding emerging ethical issues and opportunities. . IEEE - Institute of Electrical and Electronics Engineers, 2022.
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Benefits of Global Earth Observation Missions for Exposure Estimation and Earthquake Loss Modelling textendash Evidence from Santiago de Chile, Chile. . Research Square Platform LLC, 2022.
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Empiric recommendations for population disaggregation under different data scenarios. . In PLOS ONE, 17(9), pp. 1–29. Public Library of Science, 2022.
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To be, or not to be ‘urban’? A multi-modal method for the differentiated measurement of the degree of urbanization. . In Computers, Environment and Urban Systems, 95, p. 101830. 2022.
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Defining pathways to healthy sustainable urban development. . In Environment International, 146, p. 106236. 2021.
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Which city is the greenest? A multi-dimensional deconstruction of city rankings. . In Computers, Environment and Urban Systems, 89, p. 101687. 2021.
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Automated building characterization for seismic risk assessment using street-level imagery and deep learning. . In ISPRS Journal of Photogrammetry and Remote Sensing, 180, pp. 370–386. 2021.
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Multistrategy ensemble regression for mapping of built-up density and height with Sentinel-2 data. . In ISPRS Journal of Photogrammetry and Remote Sensing, 170, pp. 57–71. 2020.
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Mapping Plastic Greenhouses Using Spectral Metrics Derived From GaoFen-2 Satellite Data. . In IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, (49-59). 2020.
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Urbanization that hides in the dark -- Spotting China’s ``ghost neighborhoods’’ from space. . In Landscape and Urban Planning, 200, pp. 1–14. Elsevier, 2020.
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Seven city types representing morphologic configurations of cities across the globe. . In Cities, 105, p. 102814. 2020.
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Spectral-Spatial Classification Integrating Band Selection for Hyperspectral Imagery With Severe Noise Bands. . In IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, pp. 1597–1609. IEEE - Institute of Electrical and Electronics Engineers, 2020.
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Spatial and Semantic Effects of LUCAS Samples on Fully Automated Land Use/Land Cover Classification in High-resolution Sentinel-2 Data. . In International Journal of Applied Earth Observation and Geoinformation, pp. 1–9. 2020.
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Satellite-Based Mapping of Urban Poverty With Transfer-Learned Slum Morphologies. . In IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, pp. 5251–5263. 2020.
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Spectral-Spatial Classification Integrating Band Selection for Hyperspectral Imagery With Severe Noise Bands. . In IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, pp. 1597–1609. 2020.
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Spatial and semantic effects of LUCAS samples on fully automated land use/land cover classification in high-resolution Sentinel-2 data. . In International Journal of Applied Earth Observation and Geoinformation, 88, p. 102065. 2020.
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Inferring floor area ratio thresholds for the delineation of city centers based on cognitive perception. . In Environment and Planning B: Urban Analytics and City Science. Sage Publications, 2020.
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Continental-scale mapping and analysis of 3D building structure. . In Remote Sensing of Environment, 245, p. 111859. 2020.
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Mapping Plastic Greenhouses Using Spectral Metrics Derived From GaoFen-2 Satellite Data. . In IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, pp. 49–59. 2020.
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Uncertainties of Human Perception in Visual Image Interpretation in Complex Urban Environments. . In IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, pp. 4229–4241. 2020.
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Urbanization that hides in the dark – Spotting China’s “ghost neighborhoods” from space. . In Landscape and Urban Planning, 200, p. 103822. 2020.
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Analyzing Links between Spatio-Temporal Metrics of Built-Up Areas and Socio-Economic Indicators on a Semi-Global Scale. . Multidisciplinary Digital Publishing Institute, 2020.
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Air Quality Monitoring and Data Management in Germany - Status Quo and Suggestions for Improvement. . 2020.
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Seven city types representing morphologic configurations of cities across the globe. . In Cities, 105, pp. 1–15. Elsevier, 2020.
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Satellitendaten zur Erfassung gesundheitsrelevanter Umweltbedingungen: Beispiele und interdisziplinäre Potenziale. . In Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz, 63(8), pp. 936–944. 2020.
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Satellitendaten zur Erfassung gesundheitsrelevanter Umweltbedingungen: Beispiele und interdisziplinäre Potenziale. . Springer, 2020.
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Misperceptions of Predominant Slum Locations? Spatial Analysis of Slum Locations in Terms of Topography Based on Earth Observation Data. . In Remote Sensing, 12(15), p. 2474. MDPI AG, 2020.
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Continental-scale mapping and analysis of building footprint, height and volume. . In Remote Sensing of Environment, 245, pp. 1–16. Elsevier, 2020.
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Europäische Lärmkarten - Methodik und Bewertung im Kontext überregionaler Umweltgerechtigkeitsstudien. . N. Riedel; H. Köckler; G. Bolte (eds.), pp. 10–16. Institut für Public Health und Pflegeforschung (IPP), Universität Bremen, 2020.
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The dynamics of poor urban areas - analyzing morphologic transformations across the globe using Earth observation data. . In Cities, 107, p. 102905. 2020.
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Measuring the spatial hierarchical urban system in China in reference to the Central Place Theory. . In Habitat International, 105, p. 102264. 2020.
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Deriving urban mass concentrations using TanDEM-X and Sentinel-2 data for the assessment of morphological polycentricity. . In IEEE International Geoscience and Remote Sensing Sysposium 2020, pp. 4219–4222. 2020.
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Semantic segmentation of slums in satellite images using transfer learning on fully convolutional neural networks. . In ISPRS Journal of Photogrammetry and Remote Sensing, 150, pp. 59–69. Elsevier, 2019.
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Urbanization in China from the end of 1980s until 2010 - spatial dynamics and patterns of growth using EO-data. . In International Journal of Digital Earth, 12(1), pp. 78–94. Taylor & Francis, 2019.
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Flächendeckende Lärmkartierung aus dem All. . In Workshop Lärmaktionsplanung- Mehr Chancen auf Gesundheit durch Lärmaktionsplanung?!. 2019.
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Remote Sensing in Environmental Justice Research - A Review. . In ISPRS International Journal of Geo-Information, 8(20), pp. 1–28. Multidisciplinary Digital Publishing Institute (MDPI), 2019.
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Urbanization between compactness and dispersion – Designing a spatial model for measuring 2D binary settlement landscape configurations. . In International Journal of Digital Earth, 12(6), pp. 679–698. 2019.
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How dynamic are slums? EO-based assessment of Kibera’s morphologic transformation. . In 2019 Joint Urban Remote Sensing Event (JURSE), pp. 1–4. 2019.
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Virtual support vector machines with self-learning strategy for classification of multispectral remote sensing imagery. . In ISPRS Journal of Photogrammetry and Remote Sensing, 151, pp. 42–58. Elsevier, 2019.
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Slum Mapping in Imbalanced Remote Sensing Datasets Using Transfer Learned Deep Features. . In 2019 Joint Urban Remote Sensing Event (JURSE), pp. 1–4. 2019.
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Satellitengestützte Vermessung von städtischem Grün in deutschen Städten. . In 11. Dresdner Flächennutzungssymposium. 2019.
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Mapping Human Settlements with Multi-seasonal Sentinel-2 Imagery and Attention-based ResNeXt. . In JURSE 2019, pp. 1–4. 2019.
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Modelling the impact of the urban spatial structure on the choice of residential locations using ’big earth data’ and machine learning. . In 2019 Joint Urban Remote Sensing Event JURSE, pp. 1–4. 2019.
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Patterns of Eastern European Urbanisation in the Mirror of Western Trends – Convergent, Unique or Hybrid?. . In Environment and Planning B: Urban Analytics and City Science., 46(7), pp. 1206–1225. 2019.
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A new ranking of the world’s largest cities—Do administrative units obscure morphological realities?. . In Remote Sensing of Environment, 232, p. 111353. 2019.
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Sensitivity of slum size distributions as a function of spatial parameters for slum classification. . In 2019 Joint Urban Remote Sensing Event, JURSE 2019, pp. 1–4. 2019.
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Has Dongying developed to a ghost city? - Evidence from multi-temporal population estimation based on VHR remote sensing and census counts. . In Computers, Environment and Urban Systems, 78, p. 101372. 2019.
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Understanding an urbanizing planet: Strategic directions for remote sensing. . In Remote Sensing of Environment, 228, pp. 164–182. 2019.
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Satellitengestützte Vermessung von städtischem Grün in deutschen Städten. . In 11. Dresdner Flächennutzungssymposium. 2019.
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Size Distributions for Morphological Slums in Asia and South America. . In 2019 Joint Urban Remote Sensing Event, JURSE 2019, pp. 1–4. 2019.
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Sensitivity of slum size distributions as a function of spatial parameters for slum classification. . In 2019 Joint Urban Remote Sensing Event (JURSE), pp. 1–4. 2019.
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Modelling the impact of the urban spatial structure on the choice of residential location using ‘big earth data’ and machine learning. . In 2019 Joint Urban Remote Sensing Event (JURSE), pp. 1–4. 2019.
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Patterns of Eastern European urbanisation in the mirror of Western trends textendash Convergent, unique or hybrid?. . In Environment and Planning B: Urban Analytics and City Science, 46(7), pp. 1206–1225. SAGE Publications, 2019.
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How dynamic are slums? EO-based assessment of Kibera’s morphologic transformation. . In 2019 Joint Urban Remote Sensing Event (JURSE), pp. 1–4. 2019.
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Webcams und Maschinelles Sehen in der angewandten Humangeographie. . In Deutscher Kongress für Geographie 2019. 2019.
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Size distributions of slums across the globe using different data and classification methods. . In European Journal of Remote Sensing, 52(S2), pp. 99–11. Taylor & Francis, 2019.
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Large-scale building extraction in very high-resolution aerial imagery using Mask R-CNN. . In 2019 Joint Urban Remote Sensing Event (JURSE), pp. 1–4. IEEE, 2019.
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Europe’s socio-economic disparities reflected in settlement patterns derived from satellite data. . In 2019 Joint Urban Remote Sensing Event (JURSE), pp. 1–4. IEEE, 2019.
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Slum Mapping in Imbalanced Remote Sensing Datasets Using Transfer Learned Deep Features. . In 2019 Joint Urban Remote Sensing Event (JURSE), pp. 1–4. 2019.
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Remote Sensing for the Analysis of Global Urbanization. . In DLR-Forschungsbericht. 2019.
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Mapping human settlements with Sentinel-2 imagery and deep neural networks. . In 2019 Joint Urban Remote Sensing Event (JURSE), pp. 1–4. IEEE, 2019.
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Has Dongying developed to a ghost city? - Evidence from multi-temporal population estimation based on VHR remote sensing and census counts. . In Computers, Environment and Urban Systems, 78, pp. 1–15. Elsevier, 2019.
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A transferable remote sensing approach to classify building structural types for seismic risk analyses: the case of Val d’Agri area (Italy). . In Bulletin of Earthquake Engineering, 17(9), pp. 4825–4853. 2019.
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Understanding an urbanizing planet: Strategic directions for remote sensing. . In Remote Sensing of Environment, 228, pp. 164–182. Elsevier, 2019.
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Towards Global Slum Mapping From Space: Detecting Urban Poverty Using a Transfer Learned Fully Convolutional Network. . In Phi-week 2019. 2019.
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A new ranking of the world’s largest cities---Do administrative units obscure morphological realities?. . In Remote Sensing of Environment, 232, pp. 1–14. Elsevier, 2019.
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Patterns of Eastern European Urbanisation in the Mirror of Western Trends -- Convergent, Unique or Hybrid?. . In Environment and Planning B: Urban Analytics and City Science, 46(7), pp. 1206–1225. Sage Publications, 2019.
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Inferring floor area ratio thresholds for the delineation of city centers based on cognitive perception. . In Environment and Planning B: Urban Analytics and City Science, p. 239980831986934. SAGE Publications, 2019.
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Large-Area Characterization of Urban Morphology: Mapping Built-Up Height and Density with the TanDEM-X Mission and Sentinel-2. . In IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12(8), pp. 2912–2927. IEEE - Institute of Electrical and Electronics Engineers, 2019.
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Comparing Urban Green Spaces in German Cities Using Remote Sensing Data. Technical Report (Master thesis), . . Master thesis, p. 116. Julius-Maximilians-Universität Würzburg, 2019, July 4.
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Automatic Training Set Compilation with Multisource Geodata for DTM Generation from the TanDEM-X DSM. . In IEEE Geoscience and Remote Sensing Letters, 17(3), pp. 456–460. IEEE - Institute of Electrical and Electronics Engineers, 2019.
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Was passiert, wenn... Exposition und Vulnerabilität urbaner Räume gegenüber Naturgefahren. . In Transforming Cities, 2, pp. 38–42. Trialog Publishers, 2019.
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A transferable remote sensing approach to classify building structural types for seismic risk analyses: the case of Val d’Agri area (Italy). . In Bulletin of Earthquake Engineering, pp. 1–29. Springer, 2019.
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Size Distributions for Morphological Slums in Asia and South America. . In 2019 Joint Urban Remote Sensing Event (JURSE), pp. 1–4. 2019.
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The morphology of the Arrival City - A global categorization based on literature surveys and remotely sensed data. . In Applied Geography, 92, pp. 150–167. 2018.
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Are We in Boswash Yet? A Multi-Source Geodata Approach to Spatially Delimit Urban Corridors. . In ISPRS International Journal of Geo-Information, 7(1), p. 15. MDPI AG, 2018.
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Are the Poor Digitally Left Behind? Indications of Urban Divides Based on Remote Sensing and Twitter Data. . In ISPRS International Journal of Geo-Information, 7(8), p. 304. MDPI AG, 2018.
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Measuring morphological polycentricity - A comparative analysis of urban mass concentrations using remote sensing data. . In Computers, Environment and Urban Systems, 64, pp. 42–56. 2017.
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A Global Inventory of Urban Corridors Based on Perceptions and Night-Time Light Imagery. . In ISPRS International Journal of Geo-Information, 5(12), p. 233. MDPI AG, 2016.
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The Physical Density of the CitytextemdashDeconstruction of the Delusive Density Measure with Evidence from Two European Megacities. . In ISPRS International Journal of Geo-Information, 5(11), p. 206. MDPI AG, 2016.
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New spatial dimensions of global cityscapes: From reviewing existing concepts to a conceptual spatial approach. . In Journal of Geographical Sciences, 26(3), pp. 355–380. 2016.
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The spatial network of megaregions - Types of connectivity between cities based on settlement patterns derived from EO-data. . In Computers, Environment and Urban Systems, 54, pp. 165–180. 2015.
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Chapter 2: Fundamentals of Remote Sensing for Terrestrial Applications: Evolution, Current State of the Art, and Future Possibilities. . In Remotely sensing handbook. Volume I, P. S. Thenkabail (ed.). 2015.
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Wo beginnt die Stadt? Urbane Fernerkundung für stadtgeographische Forschung. . Netzwerk Stadt und Landschaft, 2015.
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The physical face of slums: a structural comparison of slums in Mumbai, India, based on remotely sensed data. . In Journal of Housing and the Built Environment, 29(1), pp. 15–38. 2014.
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New dimensions of urban landscapes: The spatio-temporal evolution from a polynuclei area to a mega-region based on remote sensing data. . In Applied Geography, 47, pp. 137–153. 2014.
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Satellites: make data freely accessible. . In Nature, 498(37), p. 37. 2013.
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Delineation of Central Business Districts in mega city regions using remotely sensed data. . In Remote Sensing of Environment, 136, pp. 386–401. 2013.
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Monitoring urbanization in mega cities from space. . In Remote Sensing of Environment, 117, pp. 162–176. 2012.
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Spatio-temporal cross-city comparison using multisensoral remote sensing for Mexican cities. . In Proceedings of JURSE2011, U. Stilla, P. Gamba, C. Jürgens, D. Maktav (eds.), pp. 81–84. 2011.
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Urban Remote Sensing - How Can Earth Observation Support the Sustainable Development of Urban Environments?. . In 15th International Conference on Urban Planning, Regional Development and Information Society (REAL CORP), pp. 837–847. Vienna, Austria, 2010.
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Fernerkundung im urbanen Raum. . 1st ed. Wissenschaftliche Buchgesellschaft (WBG), 2010.
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Object-based feature extraction using high spatial resolution satellite data of urban areas. . In Journal of Spatial Science, 55(1), pp. 111–126. 2010.
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The global trend of urbanization - Spatiotemporal analysis of megacities using multitemporal remote sensing, landscape metrics and gradient analysis. . In Proceedings of SPIE Europe Remote Sensing, pp. 1–20. 2010.
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Fernerkundung im urbanen Raum - Erdbeobachtung auf dem Weg zur Planungspraxis. . p. 192. Wissenschaftliche Buchgesellschaft (WBG), 2010.
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Urbanization: A global change issue. . In 33rd International Symposium on Remote Sensing of Environment. Stresa, Italy, 2009.
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Assessing building vulnerability using synergistically remote sensing and civil engineering. . In Urban and Regional Data Management, A. Krek, M. Rumor, S. Zlatanova, E. Fendel (eds.). CRC Press - Taylor & Francis Group, London, United Kingdom, ISBN 978-0-415-55642-2, 2009.
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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. . In Natural Hazards and Earth System Sciences, 9(4), pp. 1509–1528. 2009.
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Monitoring and assessment of urban environments using space-borne earth observation data - selected applications. . In Urban and Regional Data Management, A. Krek, M. Rumor, S. Zlatanova, E. Fendel (eds.), pp. 385–398. Taylor & Francis Group, 2009.
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Urbanization in India – Spatiotemporal analysis using remote sensing data. . In Computers, Environment and Urban Systems, 33(3), pp. 179–188. 2009.
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Mega cities: Hints on risk management using EO data. . In Global Mapping of Human Settlements: Experiences, Data Sets, and Prospects, P. Gamba, M. Herold (eds.). Taylor & Francis Group, London, United Kingdom, ISBN 978-1-4200-8339-2, 2009.
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Urban structuring using multisensoral remote sensing data - by the example of German cities - Cologne and Dresden. . In Joint Urban Remote Sensing Event. Shanghai, China, 2009.
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Integrating Remote Sensing and Social Science – The correlation of urban morphology with socioeconomic parameters. . In Joint Urban Remote Sensing Event. Shanghai, China, 2009.
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Analysis of urban sprawl at mega city Cairo, Egypt using multisensoral remote sensing data, landscape metrics and gradient analysis. . In 33rd International Symposium on Remote Sensing of Environment. Stresa, Italy, 2009.
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Vulnerability assessment towards tsunami threats using multisensoral remote sensing data. . In Proceedings of the SPIE - Remote Sensing for Environmental Monitoring, GIS Applications, and Geology IX. Berlin, Germany, 2009.
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Derivation of population distribution for vulnerability assessment in flood-prone German cities using multisensoral remote sensing data. . In Proceedings of the SPIE - Remote Sensing for Environmental Monitoring, GIS Applications, and Geology IX. Berlin, Germany, 2009.
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Interdisziplinäre Forschungsansätze zur Abschätzung der städtischen Verwundbarkeit gegenüber Hochwasserereignissen. . In 10. Forum Katastrophenvorsorge - Datenhintergrund und Informationen. Bonn, Germany, 2009.
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Changing urbanity in Istanbul - Analysis of megacity developments using synergistic potentials of multi-temporal SAR and optical data. . In Joint Urban Remote Sensing Event. Shanghai, China, 2009.
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Utilizing spaceborne imagery for vulnerability assessment: potentials and perspectives. . In Proceedings of the 2008 IEEE International Geoscience and Remote Sensing Symposium. Boston, Massachusetts, USA, 2008.
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Vulnerabilitätsabschätzung der erdbebengefährdeten Megacity Istanbul mit Methoden der Fernerkundung. Technical Report (PhD dissertation), . . PhD dissertation. Julius-Maximilians-Universität Würzburg, 2008.
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Vulnerabilitatsabschätzung für die Megacity Istanbul mit Fernerkundung und GIS im Falle eines Erdbebens. Technical Report (PhD dissertation), . . PhD dissertation. Julius-Maximilians-Universität Würzburg, 2008.
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A conceptual vulnerability and risk framework as outline to identify capabilities of remote sensing. . In Natural Hazards and Earth System Sciences, 8(3), pp. 409–420. 2008.
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Emergency Preparedness in the case of a Tsunami - Evacuation Analysis and Traffic Optimization for the Indonesian city of Padang. . In Proceedings of the 4th Conference on Pedestrian and Evacuation Dynamics (PED2008). Wuppertal, Germany, 2008.
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Risk and vulnerability assessment to tsunami hazard using very high resolution satellite data. . In Proceedings of the EARSeL Joint Workshop. Bochum, Germany, 2008.
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Urban structure analysis of mega city Mexico City using multi-sensoral remote sensing data. . In Proceedings of the SPIE Europe: Remote Sensing Conference - Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VIII. Cardiff, Wales, United Kingdom, 2008.
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Spatiotemporal analysis of Indian megacities. . In Proceedings of the International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. 10, pp. 75–82. 2008.
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Risk and Disaster Management in Mega Cities utilizing Earth Observation Data. . In Proceedings of the International Disaster and Risk Conference (IDRC). Davos, Switzerland, 2008.
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Identification of built-up areas using SAR data – A comparison of TerraSAR-X and ALOS PALSAR imagery. . In Proceedings of the SPIE Europe: Remote Sensing Conference - Image and Signal Processing for Remote Sensing XIV. Cardiff, Wales, United Kingdom, 2008.
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Preparation for an expected disaster – The contribution of remote sensing and civil engineering to support risk management at mega city Istanbul, Turkey. . In CEDIM Workshop on Mega City Istanbul. Istanbul, Turkey, 2008.
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Numerical Last-Mile Tsunami Early Warning and Evacuation Information System. . In International Conference on Tsunami Warning (ICTW). Bali, Indonesia, 2008.
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Multi-scale assessment of population distribution utilizing remotely sensed data - The case study Padang, West Sumatra, Indonesia. . In International Conference on Tsunami Warning (ICTW). Bali, Indonesia, 2008.
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Linking structural urban characteristics derived from high resolution satellite data to population distribution. . In Urban and Regional Data Management, Coors, Rumor, Fendel, Zlatanova (eds.). Taylor & Francis Group, London, United Kingdom, ISBN 978-0-41544059-2, 2007.
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The capabilities of remote sensing to support disaster management: A case study of the district Üsküdar in Istanbul, Turkey. . In Turkish Journal of Disaster, 2(1). 2007.