| Remote sensing in urban planning: Contributions towards ecologically sound policies? T Wellmann, A Lausch, E Andersson, S Knapp, C Cortinovis, J Jache, ... Landscape and urban planning 204, 103921, 2020 | 219 | 2020 |
| National-scale mapping of building height using Sentinel-1 and Sentinel-2 time series D Frantz, F Schug, A Okujeni, C Navacchi, W Wagner, S van der Linden, ... Remote Sensing of Environment 252, 112128, 2021 | 175 | 2021 |
| Rewetting does not return drained fen peatlands to their old selves J Kreyling, F Tanneberger, F Jansen, S Van Der Linden, C Aggenbach, ... Nature communications 12 (1), 5693, 2021 | 140 | 2021 |
| Green growth? On the relation between population density, land use and vegetation cover fractions in a city using a 30-years Landsat time series T Wellmann, F Schug, D Haase, D Pflugmacher, S van der Linden Landscape and Urban Planning 202, 103857, 2020 | 111 | 2020 |
| High-Resolution Maps of Material Stocks in Buildings and Infrastructures in Austria and Germany H Haberl, D Wiedenhofer, F Schug, D Frantz, D Virág, C Plutzar, ... Environmental Science & Technology, 2021 | 110 | 2021 |
| Mapping patterns of urban development in Ouagadougou, Burkina Faso, using machine learning regression modeling with bi-seasonal Landsat time series F Schug, A Okujeni, J Hauer, P Hostert, JØ Nielsen, S van der Linden Remote Sensing of Environment 210, 217-228, 2018 | 97 | 2018 |
| Mapping urban-rural gradients of settlements and vegetation at national scale using Sentinel-2 spectral-temporal metrics and regression-based unmixing with synthetic training data F Schug, D Frantz, A Okujeni, S van Der Linden, P Hostert Remote Sensing of Environment 246, 111810, 2020 | 78 | 2020 |
| The global wildland–urban interface F Schug, A Bar-Massada, AR Carlson, H Cox, TJ Hawbaker, D Helmers, ... Nature 621 (7977), 94-99, 2023 | 68 | 2023 |
| Gridded population mapping for Germany based on building density, height and type from Earth Observation data using census disaggregation and bottom-up estimates F Schug, D Frantz, S van der Linden, P Hostert Plos one 16 (3), e0249044, 2021 | 57 | 2021 |
| Rising wildfire risk to houses in the United States, especially in grasslands and shrublands VC Radeloff, MH Mockrin, D Helmers, A Carlson, TJ Hawbaker, ... Science 382 (6671), 702-707, 2023 | 47 | 2023 |
| The wildland–urban interface in Europe: Spatial patterns and associations with socioeconomic and demographic variables A Bar-Massada, F Alcasena, F Schug, VC Radeloff Landscape and Urban Planning 235, 104759, 2023 | 22 | 2023 |
| Unveiling patterns in human dominated landscapes through mapping the mass of US built structures D Frantz, F Schug, D Wiedenhofer, A Baumgart, D Virág, S Cooper, ... Nature Communications 14 (1), 8014, 2023 | 18 | 2023 |
| Understanding the robustness of spectral-temporal metrics across the global Landsat archive from 1984 to 2019–a quantitative evaluation D Frantz, P Rufin, A Janz, S Ernst, D Pflugmacher, F Schug, P Hostert Remote Sensing of Environment 298, 113823, 2023 | 13 | 2023 |
| High‐resolution mapping of 33 years of material stock and population growth in Germany using Earth Observation data F Schug, D Frantz, D Wiedenhofer, H Haberl, D Virág, S van der Linden, ... Journal of Industrial Ecology 27 (1), 110-124, 2023 | 13 | 2023 |
| What drives densification and sprawl in cities? A spatially explicit assessment for Vienna, between 1984 and 2018 AK Brenner, W Haas, T Krüger, S Matej, H Haberl, F Schug, ... Land Use Policy 138, 107037, 2024 | 12 | 2024 |
| High-resolution data and maps of material stock, population, and employment in Austria from 1985 to 2018 F Schug, D Wiedenhofer, H Haberl, D Frantz, D Virág, S van der Linden, ... Data in Brief 47, 108997, 2023 | 8 | 2023 |
| Learning the variations in annual spectral-temporal metrics to enhance the transferability of regression models for land cover fraction monitoring VD Pham, F Thiel, D Frantz, A Okujeni, F Schug, S van der Linden Remote Sensing of Environment 308, 114206, 2024 | 7 | 2024 |
| Land cover fraction mapping across global biomes with Landsat data, spatially generalized regression models and spectral-temporal metrics F Schug, KA Pfoch, VD Pham, S van der Linden, A Okujeni, D Frantz, ... Remote Sensing of Environment 311, 114260, 2024 | 4 | 2024 |
| Weighing the global built environment: High‐resolution mapping and quantification of material stocks in buildings H Haberl, A Baumgart, J Zeidler, F Schug, D Frantz, D Palacios‐Lopez, ... Journal of Industrial Ecology, 2024 | 3 | 2024 |
| A multi-dimensional characterization of settlements with Earth Observation data F Schug PQDT-Global, 2021 | 3 | 2021 |
Patrick HostertGeography, Humboldt Universität zu BerlinGeverifieerd e-mailadres voor geo.hu-berlin.de
