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.