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Inian Moorthy joined IIASA's Ecosystems Services and Management (ESM) Program as a Research Scholar in April 2015. He currently works with the Earth Observation Systems (EOS) group and his research interests include quantitative remote sensing, citizen science, and crowdsourcing mechanisms to complement Earth Observation datasets and processing chains.
Dr. Moorthy received his PhD in the field of Earth & Space Science from York University in Toronto, Canada. His studies focused on the application of 3D ground-based Light Detection And Ranging (LiDAR) platforms for vegetation condition monitoring and mapping. He completed a Marie Curie Postdoctoral Fellowship at the Institute of Sustainable Agriculture in Córdoba, Spain, working with a highly specialized team on the precision mapping and management of olive orchards using LiDAR systems and Unmanned Aerial Vehicles (UAV). Prior to joining IIASA, he worked as a Research Manager in the private sector collaborating with software engineers and researchers across Europe, to develop modern Information and Communications Technology (ICT) solutions in the field of open data. In addition, he brings to the EOS group proficiencies in project management as well as proposal building for numerous EU funding schemes including Horizon 2020.
Last update: 26-APR-2016
Fritz S, See L, Perger C, McCallum I, Schill C, Schepaschenko D, Duerauer M, Karner M, et al. (2017). A global dataset of crowdsourced land cover and land use reference data. Scientific Data 4: p. 170075. DOI:10.1038/sdata.2017.75.
Moorthy I, Fritz S, See L, & McCallum I (2017). LandSense: A Citizen Observatory and Innovation Marketplace for Land Use and Land Cover Monitoring. In: European Geosciences Union (EGU) General Assembly 2017, 23–28 April 2017, Vienna, Austria.
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.
McCallum I, Liu W, See L, Mechler R, Keating A, Hochrainer-Stigler S, Mochizuki J, Fritz S, et al. (2016). Technologies to Support Community Flood Disaster Risk Reduction. International Journal of Disaster Risk Science 7 (2): 198-204. DOI:10.1007/s13753-016-0086-5.
Hemment D, Amditis A, Fritz S, Wehn U, Moorthy I, & Tsertou A (2016). The Next Generation Citizen Observatories. In: The First International ECSA Citizen Science Conference 2016, May 19 – 21, 2016, Berlin, Germany.
Moorthy I, Fritz S, See L, McCallum I, & Laso Bayas J C (2016). LandSense: A Citizen Observatory and Innovation Marketplace for Land Use and Land Cover Monitoring. In: The First International ECSA Citizen Science Conference 2016, May 19 – 21, 2016, Berlin, Germany.
Laso Bayas JC, See L, Fritz S, Sturn T, Perger C, Dürauer M, Karner M, Moorthy I, et al. (2016). Crowdsourcing In-Situ Data on Land Cover and Land Use Using Gamification and Mobile Technology. Remote Sensing 8 (11): e905. DOI:10.3390/rs8110905.
Laso-Bayas JC, See L, Fritz S, Sturn T, Karner M, Perger C, Dürauer M, Mondel T, et al. (2016). Assessing the quality of crowdsourced in-situ land-use and land cover data from FotoQuest Austria application. In: European Geosciences Union (EGU) General Assembly 2016, 17–22 April 2016, Vienna, Austria.
See L, McCallum I, Liu W, Keating A, Hochrainer-Stigler S, Mochizuki J, Fritz S, Dugar S, et al. (2016). The potential of crowdsourcing and mobile technology to support flood disaster risk reduction. In: European Geosciences Union (EGU) General Assembly 2016, 17–22 April 2016, Vienna, Austria.
Fritz S, See L, Moorthy I, McCallum I, Perger C, Shchepashchenko D, Lesiv M, Shvidenko A, et al. (2015). The Role of Citizen Science and Crowdsourcing Tools in Supporting Systems Analysis at IIASA. In: Systems Analysis 2015 - A Conference in Celebration of Howard Raiffa, 11 -13 November, 2015, Laxenburg, Austria.
International Institute for Applied Systems Analysis (IIASA)
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Phone: (+43 2236) 807 0 Fax:(+43 2236) 71 313
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