Bumsuk Seo I received the B.E. and the M.C.P. degrees from the Seoul National University, Republic of Korea and the Ph.D. degree in Biogeographical modelling from the University of Bayreuth, Germany, in 2015. During the PhD study, I participated an international research project TERRECO between Germany and South Korea. Since 2015, I have been a post-doctoral researcher at Kangwon National University, South Korea (2015-2017) and IMK-IFU, KIT, Germany (2017-present). My primary research is about land use and land cover (LULC) modelling at regional to global scales. Research interests include crop modelling, terrestrial ecosystem fluxes, as well as general topics in ecology. I am fascinated by state-of-the-art remote sensing and machine learning techniques and trying to tackle the research questions with them.
- Understanding land use dynamics under ongoing global socio-ecological changes
- Developing global agent-based and process-based land use models to project future land use
- Mapping land use, ecosystem functions, and ecosystem services using cutting-edge remote sensing and machine learning techniques
- Diagnosis and forecast of crop growth condition and crop yield at large scales
Telephone: +49 8821 183 260
Publications Bumsuk Seo
Mapping cultural ecosystem services 2.0 – Potential and shortcomings from unlabeled crowd sourced images.
2019. Ecological indicators, 96 Part 1, 505–515. doi:10.1016/j.ecolind.2018.08.035
Impacts of Land Use Change and Summer Monsoon on Nutrients and Sediment Exports from an Agricultural Catchment.
2018. Water, 10 (5), 544. doi:10.3390/w10050544
Classification of rare land cover types : Distinguishing annual and perennial crops in an agricultural catchment in South Korea.
2018. PLoS one, 13 (1), Art.Nr. e0190476. doi:10.1371/journal.pone.0190476
Scale-dependent effects of landscape composition and configuration on natural enemy diversity, crop herbivory, and yields.
2016. Ecological applications, 26 (2), 448–462. doi:10.1890/15-0856
Mapping Fractional Land Use and Land Cover in a Monsoon Region: The Effects of Data Processing Options.
2016. IEEE journal of selected topics in applied earth observations and remote sensing, 9 (9), 3941–3956. doi:10.1109/JSTARS.2016.2544802
Pest control of aphids depends on landscape complexity and natural enemy interactions.
2015. PeerJ, 3, e1095. doi:10.7717/peerj.1095
Impacts of global climate change on the floras of oceanic islands – Projections, implications and current knowledge.
2015. Perspectives in plant ecology, evolution and systematics, 17 (2), 160–183. doi:10.1016/j.ppees.2015.01.003
Using the SWAT model to improve process descriptions and define hydrologic partitioning in South Korea.
2014. Hydrology and earth system sciences, 18 (2), 539–557. doi:10.5194/hess-18-539-2014
Deriving a per-field land use and land cover map in an agricultural mosaic catchment.
2014. Earth system science data, 6 (2), 339–352. doi:10.5194/essd-6-339-2014
Carbon dioxide exchange and biomass productivity of the herbaceous layer of a managed tropical humid savanna ecosystem in western Kenya.
2013. Journal of plant ecology, 6 (4), 286–297. doi:10.1093/jpe/rts038
Natural enemy interactions constrain pest control in complex agricultural landscapes.
2013. Proceedings of the National Academy of Sciences of the United States of America, 110 (14), 5534–5539. doi:10.1073/pnas.1215725110