Research
Jans research interests lie mainly in method development within GIS and remote sensing frameworks from a sustainability and climate adaptation/mitigation perspective, with the overarching goal of improving the well-being of humans and other living organisms on our Earth through development of technical solutions and contributions to the scientific knowledge base.
Teaching
Jan teaches several undergraduate courses in the two programmes:
Engineering: Surveying Technology and Geographical IT (180 ECTS)
Programme in Surveying and Mapping (180 ECTS)
Jan is currently co-supervisor to 3 PhD-students.
Collaboration
Jan collaborates with different disciplines at Karlstad University such as Biology, Risk and Environmental Studies, Centrum for Societal Risk Research (CSR) and Centrum for Research on Sustainable Societal Transformation (CRS), other Swedish universities and with public authorities, e.g. MSB, the Environmental Protection Agency and the Swedish Transport Administration.
Jan is currently working in the following ongoing projects:
Development of risk assessment methods for cloudburst damages
Swedish churches as emergency meeting points
BRIS - Bränder i skog och mark
Accessibility to healthcare facilities in the Majority World
DEPRIMAP - Unravelling the dynamics of deprived urban areas in the Majority World using AI and Earth Observation to foster evidence-based sustainable planning
Related info
Jan Haas holds a PhD in remote sensing and geographic information technology (GIT). He is a senior lecturer in Geomatics and active in research projects at Geomatics and amongst others at the Centrum for Societal Risk Research (CSR).
Selected publications
Knös, D., Karagiorgos, K., Haas, J., Blumenthal, B., Nyberg, L., and Halldin, S., 2022. Cloudburst-disaster modelling. A new open-source catastrophe model. International Journal of Disaster Risk Reduction, 67, 102679.
Mugiraneza, T., Hafner, S., Haas, J., and Ban, Y., 2022. Monitoring urbanization and environmental impact in Kigali, Rwanda using Sentinel-2 MSI data and ecosystem service bundles. International Journal of Applied Earth Observation and Geoinformation, 109, 102775.
Haas, J., Karagiorgos, K., Nyberg, L., and Pettersson, A.: A vulnerability index for climate related risks in Sweden, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-5711, https://doi.org/10.5194/egusphere-egu21-5711, 2021.
Karagiorgos, K., Halldin, S., Haas, J., Knös, D., Blumenthal, B., and Nyberg, L.: Cloudburst catastrophe modelling: Case study – Jönköping municipality, Sweden, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-12684, https://doi.org/10.5194/egusphere-egu21-12684, 2021.
Svensson, E., Haas, J. and Eckstein, R. L., 2021. Integrating Nature and Heritage in the Boreal Forests of Scandinavia? Exploration of a Low-Budget Method. Landscapes. doi: 10.1080/14662035.2020.1905202.
Örtqvist, A. K., Haas, J., Ahlberg, M., Norman, M., and Stephansson, O., 2021. Association between travel time to delivery unit and unplanned out‐of‐hospital birth, infant morbidity and mortality: a population‐based cohort study. Acta Obstetricia et Gynecologica Scandinavica.
Haas, J. and Jahren, T., 2020. Tillgänglighet och kartläggning av skogsrelevanta geodata i Inre Skandinavien. In: Skogen som resurs i en gränsregion. Karlstads universitet, Karstad, Sweden, ISBN: 978-91-7867-122-9.
Mugiraneza, T., Ban, Y. and Haas, J., 2019. Urban land cover dynamics and their impact on ecosystem services in Kigali, Rwanda using multi-temporal Landsat data. Remote Sensing Applications: Society and Environment, 13, 234-246.
Blumenthal, B., Haas, J., and Andersson, J. O., 2018. A GIS-based multivariate approach to identify flood damage affecting factors. Natural Hazards and Earth System Sciences Discussions, 1-27.
Haas, J. and Ban, Y., 2018. Urban land cover and ecosystem service changes based on Sentinel-2A MSI and Landsat TM Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11(2), 485-497.
Liebiedieva, S., Haas, J. and Andersson, J.-O., 2017. Chapter 15: Geospatial support. In: Khorram-Manesh, A. (Ed.) Handbook of disaster and emergency management. Institute of Clinical Sciences, Sahlgrehnska Academy, Gothenburg University, Gothenburg, Sweden, pp. 92-96.
Haas, J. and Ban, Y., 2017. Mapping and monitoring urban ecosystem services using multitemporal high-resolution satellite data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(2), 669-680.
Haas, J. and Ban, Y., 2017. Sentinel-1A SAR and sentinel-2A MSI data fusion for urban ecosystem service mapping. Remote Sensing Applications: Society and Environment, 8, 41-53.
Fredman D., Haas J., Ban Y., Jonsson, M., Svensson, L., Djärv, T., Hollenberg, J., Nordberg, P., Ringh, M. and Claesson, A., 2017. Use of a geographic information system to identify differences in automated external defibrillator installation in urban areas with similar incidence of public out-of-hospital cardiac arrest: a retrospective registry-based study. BMJ Open 2017; 7:e014801. doi:10.1136/bmjopen-2016-014801.
Haas, J., Furberg, D. and Ban, Y., 2015. Satellite monitoring of urbanization and environmental impacts—A comparison of Stockholm and Shanghai. International Journal of Applied Earth Observation and Geoinformation, 38, 138-149.
Haas, J. and Ban, Y., 2014. Urban growth and environmental impacts in Jing-Jin-Ji, the Yangtze, River Delta and the Pearl River Delta. International Journal of Applied Earth Observation and Geoinformation, 30, 42-55.
Mörtberg, U., Haas, J., Zetterberg, A., Franklin, J. P., Jonsson, D. and Deal, B., 2013. Urban ecosystems and sustainable urban development—analysing and assessing interacting systems in the Stockholm region. Urban Ecosystems, 16(4), 763-782.
Rui, Y., Ban, Y., Wang, J. and Haas, J, 2013. Exploring the patterns and evolution of self-organized urban street networks through modeling. The European Physical Journal B, 86(3), 74.