Faculty of Mathematics and Natural Sciences - Applied Geoinformation Science

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

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