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Flood risks in urbanized areas--multi-sensoral approaches using remotely sensed data for risk assessment, , , , , , and . Natural Hazards and Earth System Sciences (NHESS), (2011)Modelling the impact of the urban spatial structure on the choice of residential locations using 'big earth data' and machine learning, , , , , and . Joint Urban Remote Sensing Event (JURSE), page 1--4. (2019)Sensitivity of slum size distributions as a function of spatial parameters for slum classification, , , , and . Joint Urban Remote Sesnsing Event 2019, page 1--4. (2019)Large-scale building extraction in very high-resolution aerial imagery using Mask R-CNN, , , , and . 2019 Joint Urban Remote Sensing Event (JURSE), page 1--4. IEEE, (Mai 2019)Size distributions of slums across the globe using different data and classification methods, , , and . European Journal of Remote Sensing, 52 (S2): 99--11 (März 2019)A Comprehensive View on Urban Spatial Structure: Urban Density Patterns of German City Regions., , , and . ISPRS Int. J. Geo Inf., 5 (6): 76 (2016)The dynamics of poor urban areas - analyzing morphologic transformations across the globe using Earth observation data, , and . Cities, (2020)The Individual Walkable Neighborhood - Evaluating people-centered spatial units focusing on urban density, , and . Computers, Environment and Urban Systems, (2023)Large-scale building extraction in very high-resolution aerial imagery using Mask R-CNN., , , , and . JURSE, page 1-4. IEEE, (2019)Europe's socio-economic disparities reflected in settlement patterns derived from satellite data., , , and . JURSE, page 1-4. IEEE, (2019)