Inian Moorthy

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

Laso Bayas JC, Moorthy I, Sturn T, Karner M, Perger C, Fraisl D, Domian D, Gardeazabal A, et al. (2018). Citizen Scientists Monitoring the Environment: The Latest Apps from IIASA. In: Citizen Observatories for natual hazards and Water Management, 27-30 November 2018, Venice, Italy.

Moorthy I, See L, Batic M, & Matheus A (2018). The LandSense Engagement Platform: Connecting citizens with earth observation data to promote environmental monitoring. In: The ESA Earth Observation Week, 12-16 November, 2018, Frascati, Italy.

Fraisl D, Fritz S, See L, McCallum I, & Moorthy I (2018). Citizen Science & SDGs: Opportunities, Challenges, Recommendations. In: Eye on Earth Summit, 22-24 October 2018, Mina A'Salam, Madinat Jumeriah, Dubai.

Lesiv M, Bayas JCL, See L, Duerauer M, Dahlia D, Durando N, Hazarika R, Sahariah PK, et al. (2018). Estimating the Global Distribution of Field Size using Crowdsourcing.

Lesiv M, See L, Laso Bayas JC, Sturn T, Schepaschenko D, Karner M, Moorthy I, McCallum I, et al. (2018). Characterizing the Spatial and Temporal Availability of Very High Resolution Satellite Imagery in Google Earth and Microsoft Bing Maps as a Source of Reference Data. Land 7 (4): p. 118. DOI:10.3390/land7040118.

Olteanu-Raimond A-M, Jolivet L, Van Damme M-D, Royer T, Fraval L, See L, Sturn T, Karner M, et al. (2018). An Experimental Framework for Integrating Citizen and Community Science into Land Cover, Land Use, and Land Change Detection Processes in a National Mapping Agency. Land 7 (3): p. 103. DOI:10.3390/land7030103.

Danylo O, Moorthy I, Sturn T, See L, Laso Bayas J-C, Domian D, Fraisl D, Giovando C, et al. (2018). The Picture Pile Tool for Rapid Image Assessment: A Demonstration using Hurricane Matthew. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4: 27-32. DOI:10.5194/isprs-annals-IV-4-27-2018.

Fritz S, See L, Bayas JCB, Waldner F, Jacques D, Becker-Reshef I, Whitcraft A, Baruth B, et al. (2018). A comparison of global agricultural monitoring systems and current gaps. Agricultural Systems DOI:10.1016/j.agsy.2018.05.010. (In Press)

Wannemacher K, Birli B, Sturn T, Stiles R, Moorthy I, See L, & Fritz S (2018). Using Citizen Science to Help Monitor Urban Landscape Changes and Drive Improvements. Journal for Geographic Information Science-GI_Forum 1: 336-343. DOI:10.1553/giscience2018_01_s336.

See L, Fritz S, Moorthy I, Danylo O, van Dijk M, & Ryan B (2018). Using Remote Sensing and Geospatial Information for Sustainable Development. In: From Summits to Solutions: Innovations in Implementing the Sustainable Development Goals. Eds. Desai, R.M., Kato, H., Kharas, H. & McArthur, J.W., pp. 172-198 Brookings Institution Press. ISBN 9780815736639

Lesiv M, Fritz S, Laso Bayas JC, Dürauer M, Domian D, See L, McCallum I, Danylo O, et al. (2018). Global Field Sizes Dataset for Ecosystems Modeling. In: European Geosciences Union General Assembly 2018, 9-13 April 2018, Vienna, Austria.

Moorthy I, Fritz S, See L, Wehn U, Hemment D, Pau JM, Tsertou A, Vohland K, et al. (2018). WeObserve: An Ecosystem of Citizen Observatories for Environmental Monitoring. In: European Geosciences Union General Assembly 2018, 9-13 April 2018, Vienna, Austria.

Moorthy I, Sturn T, Fraisl D, Karner M, Laso Bayas JC, See L, & McCallum I (2018). FotoQuest Go: A citizen science tool for in-situ land use and land cover monitoring. In: European Geosciences Union General Assembly 2018, 9-13 April 2018, Vienna, Austria.

Lesiv M, See L, Laso Bayas JC, Sturn T, Schepaschenko D, Karner M, Moorthy I, McCallum I, et al. (2018). Characterizing the Spatial and Temporal Availability of Very High Resolution Satellite Imagery for Monitoring Applications. Earth System Science Data Discussions: 1-24. DOI:10.5194/essd-2018-13. (In Press)

Foody G, See L, Fritz S, Moorthy I, Perger C, Schill D, & Boyd D (2018). Increasing the Accuracy of Crowdsourced Information on Land Cover via a Voting Procedure Weighted by Information Inferred from the Contributed Data. ISPRS International Journal of Geo-Information 7 (3): p. 80. DOI:10.3390/ijgi7030080 (registering DOI).

McCallum I, See L, Sturn T, Salk C, Perger C, Dürauer M, Karner M, Moorthy I, et al. (2018). Engaging Citizens in Environmental Monitoring via Gaming. International Journal of Spatial Data Infrastructures Research 13: 15-23. DOI:10.2902/1725-0463.2018.13.art3.

Laso Bayas JC, Lesiv M, Waldner F, Schucknecht A, Duerauer M, See L, Fritz S, Fraisl D, et al. (2017). A global reference database of crowdsourced cropland data collected using the Geo-Wiki platform. Scientific Data 4: e170136. DOI:10.1038/sdata.2017.136.

Aleksandrov M, Batic M, Milcinski G, See L, Perger C, Moorthy I, & Fritz S (2017). Crowdsourcing EO datasets to improve cloud detection algorithms and land cover change. In: Earth Observation Open Science 2017 Conference, 25-28 September 2017, Frascati, Italy.

Moorthy I, See L, Fritz S, McCallum I, Perger C, Dürauer M, Dresel C, Sturn T, et al. (2017). Crowd-driven tools for the calibration and validation of Earth Observation products. In: Earth Observation Open Science 2017 Conference, 25-28 September 2017, Frascati, Italy.

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.

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.

Danylo O, Sturn T, Giovando C, Moorthy I, Fritz S, See L, Kapur R, Girardot B, et al. (2017). Picture Pile: A citizen-powered tool for rapid post-disaster damage assessments. 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.