Doctoral Theses
2023
Schreyer, J. (2023). Assessing, evaluating, and applying canopy models of urban vegetation from satellite-based height data. Humboldt-Universität zu Berlin, Berlin, Germany.
Wolff, S. (2023). Analyzing spatial patterns and dynamics of landscapes and ecosystem services – Exploring fine-scale data and indicators. Humboldt-Universität zu Berlin, Berlin, Germany. doi:10.18452/25399
2022
Haacke, H. C. (2022). Modelling urban dynamics of a diverse elderly population with an empirically grounded agent-based model. Humboldt-Universität zu Berlin, Berlin, Germany. doi:10.18452/24986
Ji, C. (2022). Mapping urban surface materials using imaging spectroscopy data. Humboldt-Universität zu Berlin, Berlin, Germany. doi:10.18452/24713
2021
de Barros Viana Hissa, L. (2021). From deforestation to forest recovery: perspectives for the Amazon under the rule of the Brazilian Forest Code. Humboldt-Universität zu Berlin, Berlin, Germany. doi:10.18452/22843
Enoguanbhor, E. C. (2021). Urban land dynamics in the Abuja city-region, Nigeria: integrating
GIS, remotely sensed, and survey-based data to support land use planning. Humboldt-Universität zu Berlin, Berlin, Germany. doi:10.18452/23620
2020
Batunacun (2020). Modelling land use and land cover change on the Mongolian Plateau. Humboldt-Universität zu Berlin, Berlin, Germany. doi:10.18452/21796
Leichtle, T. (2020). Change Detection for Application in Urban Geography based on Very High Resolution Remote Sensing. Humboldt-Universität zu Berlin, Berlin, Germany. doi:10.18452/21032
Pech, L. (2020). Armed Conflict and Urban Growth Patterns. Humboldt-Universität zu Berlin, Berlin, Germany. doi:10.18452/21130
2019
Weng, W. (2019). Aerial river management for future water in the context of land use change in Amazonia. Humboldt-Universität zu Berlin, Berlin, Germany. doi:10.18452/21097
2018
Gollnow, F. (2018). Land use change and land use displacement dynamics in Mato Grosso and Pará, Brazilian Amazon. Humboldt-Universität zu Berlin, Berlin, Germany. doi:10.18452/18732
2017
Tigges, J. (2017). Assessing carbon in urban trees: benefits of using high-resolution remote sensing. Humboldt-Universität zu Berlin, Berlin, Germany. doi:10.18452/18597
2016
Krüger, C. (2016). Uncertainties in land change modeling. Humboldt-Universität zu Berlin, Berlin, Germany. doi:10.18452/17505
Müller, H. (2016). Monitoring land use change in the Brazilian rainforest and savanna with Landsat time series. Humboldt-Universität zu Berlin, Berlin, Germany. doi:10.18452/17504
2015
Cheong, Y. L. (2015). Dengue disease in Malaysia. Humboldt-Universität zu Berlin, Berlin, Germany. doi:10.18452/17195
Geiß, C. (2015). Seismic vulnerability assessment of built environments with remote sensing. Humboldt-Universität zu Berlin, Berlin, Germany. doi:10.18452/17104
2014
Lissner, T. (2014). Limitations to human livelihoods and well-being in the context of climate change. Humboldt-Universität zu Berlin, Berlin, Germany. doi:10.18452/17048
2006
Lakes, T. (2006). Beitrag des Informationsmanagements für den Einsatz neuer Fernerkundungsdaten in der städtischen Planung am Beispiel der Stadtbiotoptypenkartierung mit Flugzeugscannerdaten in Berlin. Technische Universität Berlin, Berlin, Germany. doi:10.14279/depositonce-1449