Thilo Wellmann
Thilo Wellmann
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Zitiert von
Zitiert von
Urban land use intensity assessment: The potential of spatio-temporal spectral traits with remote sensing
T Wellmann, D Haase, S Knapp, C Salbach, P Selsam, A Lausch
Ecological Indicators 85, 190-203, 2018
Front and back yard green analysis with subpixel vegetation fractions from earth observation data in a city
D Haase, C Jänicke, T Wellmann
Landscape and urban planning 182, 44-54, 2019
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
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
Earth observation based indication for avian species distribution models using the spectral trait concept and machine learning in an urban setting
T Wellmann, A Lausch, S Scheuer, D Haase
Ecological Indicators 111, 106029, 2020
Neighbourhood character affects the spatial extent and magnitude of the functional footprint of urban green infrastructure
E Andersson, D Haase, S Scheuer, T Wellmann
Landscape Ecology, 2020
Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity—Part II: Geomorphology, Terrain and Surfaces
A Lausch, ME Schaepman, AK Skidmore, SC Truckenbrodt, JM Hacker, ...
Remote sensing 12 (22), 3690, 2020
What are the traits of a social-ecological system: towards a framework in support of urban sustainability
E Andersson, D Haase, P Anderson, C Cortinovis, J Goodness, D Kendal, ...
npj Urban Sustainability 1 (1), 1-8, 2021
Urban Green Fabric Analysis Promoting Sustainable Planning in Guatemala City
F Castillo-Cabrera, T Wellmann, D Haase
Land 10 (1), 18, 2021
A glimpse into the future of exposure and vulnerabilities in cities? Modelling of residential location choice of urban population with random forest
S Scheuer, D Haase, A Haase, M Wolff, T Wellmann
Natural Hazards and Earth System Sciences Discussions 2020, 1-27, 2020
Modelling the distribution of 44 urban bird species using Earth observation based plant trait indicators and machine learning.
T Wellmann, S Scheuer, A Lausch, D Haase
Geophysical Research Abstracts 21, 2019
Assessing trends in future exposure and vulnerability of population to natural hazards based on tacit knowledge and data mining techniques.
S Scheuer, T Wellmann, D Haase, M Wolff, A Haase
Geophysical Research Abstracts 21, 2019
Modelling urban bird breeding ranges with remotely sensed heterogeneity in plant traits using a random forest
T Wellmann, A Lausch, S Scheuerl, D Haase
ICEI 2018: 10th International Conference on Ecological Informatics …, 2018
Modelling the distribution of 44 urban bird species using Earth observation based plant traits and machine learning
T Wellmann, S Scheuer, A Lausch, D Haase
Modelling urban bird breeding ranges
T Wellmann
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