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Scheuer, Sebastian; Haase, Dagmar; Haase, Annegret; Wolff, Manuel; Wellmann, Thilo

A glimpse into the future of exposure and vulnerabilities in cities? Modelling of residential location choice of urban population with random forest Journal Article

In: Natural Hazards and Earth System Sciences, vol. 21, no. 1, pp. 203–217, 2021.

Abstract | Links | BibTeX | Tags: Climate Change, Climate Change Adaptation, Leipzig, Machine learning, Natural hazards, Random forest, Risk assessment


Wellmann, Thilo; Lausch, Angela; Scheuer, Sebastian; Haase, Dagmar

Earth observation based indication for avian species distribution models using the spectral trait concept and machine learning in an urban setting Journal Article

In: Ecological Indicators, vol. 111, pp. 106029, 2020.

Abstract | Links | BibTeX | Tags: Leipzig, Machine learning, Random forest, RapidEye, Remote Sensing, Species Distribution Models, Spectral trait variations, Spectral traits, Urban birds

Wellmann, Thilo; Schug, Franz; Haase, Dagmar; Pflugmacher, Dirk; van der Linden, Sebastian

Green growth? On the relation between population density, land use and vegetation cover fractions in a city using a 30-years Landsat time series Journal Article

In: Landscape and Urban Planning, 2020, ISSN: 0169-2046.

Abstract | Links | BibTeX | Tags: Berlin, Compact vs. Dispersed developments, Earth observation, Greening City, Landsat, Machine learning, Unmixing, Urban planning