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The Physical Density of the City—Deconstruction of the Delusive Density Measure with Evidence from Two European Megacities

, , , and . ISPRS International Journal of Geo-Information, 5 (11): 206 (November 2016)
DOI: 10.3390/ijgi5110206

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The Physical Density of the City - Deconstruction of the Delusive Density Measure with Evidence from Two European Megacities., , , and . ISPRS Int. J. Geo Inf., 5 (11): 206 (2016)Quantitative assessment and comparison of urban patterns in Germany and the United States, , , , , and . Computers, Environment and Urban Systems, (2023)Stability Characterization of the Response of White Storks' Foraging Behavior to Vegetation Dynamics Retrieved from Landsat Time Series., , , , , and . IGARSS, page 4799-4802. IEEE, (2020)Measuring morphological polycentricity - A comparative analysis of urban mass concentrations using remote sensing data, , , , and . Computers, Environment and Urban Systems, (2017)The Physical Density of the City—Deconstruction of the Delusive Density Measure with Evidence from Two European Megacities, , , and . ISPRS International Journal of Geo-Information, 5 (11): 206 (November 2016)Deriving Urban Mass Concentrations Using TanDEM-X and Sentinel-2 Data for the Assessment of Morphological Polycentricity., , , , , , and . IGARSS, page 4219-4222. IEEE, (2020)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., , , , , , , , and . Comput. Environ. Urban Syst., (June 2023)Categorizing urban areas into "core", "fringe", and "periphery" based on the built-up morphology., , , , , , , , and . JURSE, page 1-4. IEEE, (2023)Time series enable the characterization of small-scale vegetation dynamics that influence fine-scale animal behavior – an example from white storks' foraging behavior., , , , , , and . Remote Sensing in Ecology and Conservation, (2022)Large-Area Characterization of Urban Morphology - Mapping of Built-Up Height and Density Using TanDEM-X and Sentinel-2 Data., , , , , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 12 (8): 2912-2927 (2019)