Prof. Dr. rer. nat. Carsten Keßler

Prof. Dr. Carsten Keßler hat an der Westfälischen Wilhelms-Universität Münster zur kontextbezogenen Suche von Geoinformationen promoviert. Er hat als Berater für das United Nations Office for the Coordination of Humanitarian Affairs in Genf gearbeitet und an der City University of New York sowie der Universität Aalborg in Kopenhagen gelehrt und geforscht. Seit April 2021 vertritt er am Fachbereich Geodäsie den Bereich Geoinformationssysteme und räumliche Datenanalyse.

• Raum-zeitliche Analysen, u.a. zur Klimafolgenforschung
• Forschungsdateninfrastrukturen
• Datenschutz und Privatsphäre im Kontext von Geodaten 
• Semantische Interoperabilität von Geoinformationen und Linked Open Data

Eine vollständige Übersicht der Publikationen findet sich auf Google Scholar.

• Peter J. Marcotullio, Carsten Keßler, and Balázs M. Fekete (2022) Global urban exposure projections to extreme heatwaves. Frontiers in Built Environment. DOI:10.3389/fbuil.2022.947496.
• Casper Samsø Fibæk, Carsten Keßler, Jamal Jokar Arsanjani, Marcia Luz Trillo (2022) A deep learning method for creating globally applicable population estimates from sentinel data. Transactions in GIS, 26:8, 3147-3175 DOI:10.1111/tgis.12971.
• Ezra Francis Leslie Trotter, Ana Cristina Mosebo Fernandes, Casper Samsø Fibæk, Carsten Keßler (2022) Machine learning for automatic detection of historic stone walls using LiDAR data. International Journal of Remote Sensing, 43:6, 2185-2211, DOI:10.1080/01431161.2022.2057206
• Maria Andrakakou, Carsten Keßler (2022) Investigating configurational and active centralities: The example of metropolitan Copenhagen. Environment and Planning B: Urban Analytics and City Science 47(7):1949–1966. DOI:10.1177/23998083211072861.
• Javier Elío, Marina Georgati, Henning Sten Hansen, Carsten Keßler (2022). Migration Studies with a Compositional Data Approach: A Case Study of Population Structure in the Capital Region of Denmark. In: Gervasi, O., Murgante, B., Misra, S., Rocha, A.M.A.C., Garau, C. (eds) Computational Science and Its Applications – ICCSA 2022 Workshops. ICCSA 2022. Lecture Notes in Computer Science, vol 13379. Springer, Cham. DOI:10.1007/978-3-031-10545-6_39
• Marina Georgati, João Monteiro, Bruno Martins, Carsten Keßler (2022) Spatial Disaggregation of Population Subgroups Leveraging Self-Trained Multi-Output Gradient Boosting Regression Trees. AGILE GIScience Ser., 3, 15, DOI:10.5194/agile-giss-3-5-2022
• Frederika Welle Donker, Bastiaan van Loenen, Carsten Keßler, Natalie Küppers, Mark Panek, Ali Mansourian, Pengxiang Zhou, Glenn Vancauwenberghe, Hrvoje Tomić, Karlo Kević (2022) Showcase of Active Learning and Teaching Practices in Spatial Data Infrastructure (SDI) Education. AGILE GIScience Ser., 3, 18, DOI:10.5194/agile-giss-3-18-2022
• Casper Samsø Fibæk, Carsten Keßler, Jamal Jokar Arsanjani (2021) A multi-sensor approach for characterising human-made structures by estimating area, volume and population based on sentinel data and deep learning. International Journal of Applied Earth Observation and Geoinformation, Volume 105, 102628. DOI:10.1016/j.jag.2021.102628
• Peter J. Marcotullio, Carsten Keßler, Rebeca Quintero Gonzalez, and Michael Schmeltz (2021) Urban Growth and Heat in Tropical Climates. Frontiers in Ecology and Evolution. DOI:10.3389/fevo.2021.616626
• Casper Samsø Fibæk, Hanna Laufer, Carsten Keßler, and Jamal Jokar Arsanjani (2021) Geodata-driven approaches to financial inclusion – Addressing the challenge of proximity. International Journal of Applied Earth Observation and Geoinformation, Volume 99, July 2021, 102325. DOI:10.1016/j.jag.2021.102325
• Peter J. Marcotullio, Carsten Keßler and Balázs M. Fekete (2021) The future urban heat-wave challenge in Africa: Exploratory analysis. Global Environmental Change Vol. 66, January 2021, 102190. https://doi.org/10.1016/j.gloenvcha.2020.102190
• Marina Georgati and Carsten Keßler (2021) Spatially Explicit Population Projections: The case of Copenhagen, Denmark, AGILE GIScience Ser., 2, 28, DOI:10.5194/agile-giss-2-28-2021
• Piotr Michalak, Angelina Patsili, Olga Carmen, and Carsten Keßler (2021) Impact of sea level rise on the land cover structure in Southeast Asia, AGILE GIScience Ser., 2, 36, DOI:10.5194/agile-giss-2-36-2021
• Peter J. Marcotullio, Carsten Keßler and Balázs M. Fekete (2020) Future megacity-regions and heatwave exposure. In: Danielle Labbé and André Sorensen, eds.: Handbook of Megacities and Megacity-Regions, pp.309–326. Edward Elgar Publishing, ISBN: 978-1-78897-269.
• Grant D. McKenzie, Krzysztof Janowicz and Carsten Keßler (2020) Uncovering spatiotemporal biases in place-based social sensing. In: P. Partsinevelos, P. Kyriakidis, and M. Kavouras, Proceedings of the 23rd AGILE Conference. DOI:10.5194/agile-giss-1-14-2020
• Carsten Keßler and Grant D. McKenzie (2019) Consistency Across Geosocial Media Platforms. In: Proceedings of the 15th International Conference on Location Based Services, Vienna, Austria, 11—13 November 2019.
• Marina Georgati and Carsten Keßler (2019) A 3D Routing Service for Indoor Environments. In: Proceedings of the 15th International Conference on Location Based Services, Vienna, Austria, 11—13 November 2019.
• Nikmal Raghestani and Carsten Keßler (2019) Route Optimisation for Winter Maintenance. In: Phaedon Kyriakidis, Diofantos Hadjimitsis, Dimitrios Skarlatos, Ali Mansourian, eds., Geospatial Technologies for Local and Regional Development – Proceedings of the 22nd AGILE Conference on Geographic Information Science. Conference proceedings, AGILE 2019, Limassol, Cyprus, 17-20 June, 2019. Springer Lecture Notes in Geoinformation and Cartography: 125-142. DOI:10.1007/978-3-030-14745-7_8
• Grant McKenzie, Carsten Keßler and Clio Andris (2019) Geospatial Privacy and Security – Special Feature Editorial. Journal of Spatial Information Science 19:53–55.DOI:10.5311/JOSIS.2019.19.608
• Sven Schade, Carlos Granell, Glenn Vancauwenberghe, Carsten Keßler, Danny Vandenbroucke, Ian Masser, Michael Gould (2019) Geospatial Information Infrastructures. In: Huadong Guo, Michael Goodchild, Alessandro Annoni (eds.), Manual of Digital Earth, pp. 161–190. Springer/International Society for Digital Earth. DOI:10.1007/978-981-32-9915-3