Jun.-Prof. Dr. Andreas Rienow
Ruhr-Universität Bochum
Fakultät für Geowissenschaften
Geographisches Institut
Interdisziplinäre Geoinformationswissenschaften
Beteiligung in den Forschungsfeldern
Forschungsthemen
- Urban Land Use Change Modeling
- Impervious Surface Detection with AI-based Algorithm
- Volunteered Geographic Information for Urban System Analyses
- Land Surface Temperature Measurements with Satellites
- Citizen Science and Climate Adaptation in Metropolitan Regions
Ausgewählte Publikationen
Badmos, O.S., Callo-Concha, D., Rienow, A., Agbola, B., Greve, K., Badmos, B., Jürgens, C. (2020): Determinants of Residential Location Choices by Slum Dwellers in Lagos Megacity. In: Cities 98.
Badmos, O.S., Rienow, A., Callo-Concha, D., Greve, K., Jürgens, C. (2019): Simulating Slum growth in Lagos: An integration of rule based and empirical based model. In: Computers, Environment and Urban Systems 77.
Mustafa, A., Rienow, A., Saadi, I., Cools, M. & Teller, J. (2018): Comparing support vector machines with logistic regression for calibrating cellular automata land use change models. In: European Journal of Remote Sensing 51(1), 391-401.
Rienow, A., Schneevoigt, N.S., Thonfeld, F. (2018): Quantification and prediction of land consumption and its climate effects in the Metropolitan Area Rhineland based on multispectral satellite data and land-use modelling 1975-2030. In Rocha, J. (Ed.): Spatial Analysis, Modelling and Planning, 151-168.
Rienow, A., & R. Goetzke (2015): Supporting SLEUTH - Enhancing a Cellular Automaton with Support Vector Machines for Urban Growth Modeling. In: Computers, Environment and Urban Systems, 49, 66-81.