Juan Carlos Laso Bayas
Research Scholar
Ecosystems Services and Management
International Institute for Applied Systems Analysis
Austria
Biography
Juan Carlos Laso Bayas (Ecuador) joined IIASA's Ecosystems Services and Management Program (ESM) in September 2015 as a research scholar. He currently works with the Earth Observation Systems group (EOS). Dr. Laso Bayas obtained his BSc in Agricultural Sciences at Zamorano University, Honduras, specializing in Socio-Economic Development and Environment. He continued his studies in Germany where he obtained his MSc in Agricultural Sciences in the Tropics and Subtropics as well as his PhD in Agricultural Sciences at the University of Hohenheim, Stuttgart. For his dissertation, he studied the mega-tsunami event of December 2004 and combined remote sensing, GIS and generalized linear mixed models in order to relate land use, distance to the sea and topography to tsunami casualties and damages in West-Aceh, Indonesia and the Seychelles. His experience includes: Advanced tropical agriculture and forestry field work at Zamorano; field technician at a joint USAID-Zamorano rehabilitation project after hurricane Mitch (1998) in south Honduras; student counselor at Zamorano; research assistant for the Illinois Natural History Survey at the University of Illinois Urbana-Champaign; technical assistant for the Illinois Crop Improvement Association, Champaign, USA and researcher in cooperation with the World Agroforestry Centre (ICRAF-SEA), at Bogor, Indonesia. Before joining IIASA's ESM Program, Dr. Laso Bayas worked as a statistical consultant for the Biostatistics Institute, at the University of Hohenheim, Stuttgart under the supervision of Prof. Dr. Hans-Peter Piepho.
Research Interest
His current scientific interests include the use of GIS and spatial statistics, more specifically mixed models, to analyze remote sensing data, aiming to contribute to agricultural production, food security, disaster management and community resilience.
Publications
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See L, Dunwoody A, Laso Bayas J C, Moorthy I, McCallum I, Fritz S, Jacques D, & Waldner F (2016). Global Agricultural Monitoring Systems: Current Gaps and Possible Solutions. In: Global Land Project 3rd Open Science Meeting (GLPOSM16), 24-27 October 2016, China National Convention Center, Beijing, China.
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See L, Laso Bayas JC, Schepaschenko D, Perger C, Dresel C, Maus V, Salk C, Weichselgartner J, et al. (2017). LACO-Wiki: A New Online Land Cover Validation Tool Demonstrated Using GlobeLand30 for Kenya. Remote Sensing 9 (7): e754. DOI:10.3390/rs9070754.
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Laso Bayas JC, See L, Perger C, Justice C, Nakalembe C, Dempewolf J, & Fritz S (2017). Validation of Automatically Generated Global and Regional Cropland Data Sets: The Case of Tanzania. Remote Sensing 9 (8): e815. DOI:10.3390/rs9080815.
