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Franz Schug
Franz Schug
University of Wisconsin - Madison, Dept. of Forest and Wildlife Ecology
Verified email at wisc.edu
Title
Cited by
Cited by
Year
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
1742020
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
1432021
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
1082021
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
912021
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
842018
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
812020
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
702020
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
452021
The global wildland–urban interface
F Schug, A Bar-Massada, AR Carlson, H Cox, TJ Hawbaker, D Helmers, ...
Nature 621 (7977), 94-99, 2023
312023
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
182023
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
132023
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
122023
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
92023
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
72023
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
72023
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
32024
A multi-dimensional characterization of settlements with Earth Observation data
F Schug
PQDT-Global, 2021
32021
Sub-pixel building area mapping based on synthetic training data and regression-based unmixing using Sentinel-1 and-2 data
F Schug, D Frantz, A Okujeni, P Hostert
Remote Sensing Letters 13 (8), 822-832, 2022
22022
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
12024
Mapping material stocks of buildings and mobility infrastructure in the United Kingdom and the Republic of Ireland
D Wiedenhofer, F Schug, H Gauch, M Lanau, MP Drewniok, A Baumgart, ...
Resources, Conservation and Recycling 206, 107630, 2024
12024
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