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Wellmann, T., Lausch, A., Andersson, E., Knapp, S., Cortinovis, C., Jache, J., Scheuer, S., Kremer, P., Mascarenhas, A., Kraemer, R., Haase, A., Schug, F., & Haase, D. (2020). Remote sensing in urban planning: Contributions towards ecologically sound policies? Landscape and Urban Planning, 204(June), 103921. https://doi.org/10.1016/j.landurbplan.2020.103921
Wellmann, T., Schug, F., Haase, D., Pflugmacher, D., & van der Linden, S. (2020). Green growth? On the relation between population density, land use and vegetation cover fractions in a city using a 30-years Landsat time series. Landscape and Urban Planning, 202(October), 103857. https://doi.org/10.1016/j.landurbplan.2020.103857
Andersson, E., Haase, D., Scheuer, S., & Wellmann, T. (2020). Neighbourhood character affects the spatial extent and magnitude of the functional footprint of urban green infrastructure. Landscape Ecology. https://doi.org/10.1007/s10980-020-01039-z
Wellmann, T., Lausch, A., Scheuer, S., & Haase, D. (2020). Earth observation based indication for avian species distribution models using the spectral trait concept and machine learning in an urban setting. Ecological Indicators, 111(April 2020), 106029. https://doi.org/10.1016/j.ecolind.2019.106029 Haase, D., Jänicke, C., & Wellmann, T. (2019). Front and back yard green analysis with subpixel vegetation fractions from earth observation data in a city. Landscape and Urban Planning, 182(March 2018), 44–54. |
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Wellmann, T., Haase, D., Knapp, S., Salbach, C., Selsam, P., & Lausch, A. (2018). Urban land use intensity assessment: The potential of spatio-temporal spectral traits with remote sensing. Ecological Indicators, 85, 190–203. |
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