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Mathias Karner joined the Ecosystems Services and Management Program (ESM) at IIASA in May 2012, as a Research Assistant. He is involved in the Geo-Wiki project with a focus on mobile devices and smartphones as well as exploring other software technologies for working with spatial data. Following his education in electrical engineering and technical informatics, Mr. Karner received his MSc degree in Information Technology/Geomatics from the University of Applied Sciences in Wiener Neustadt, Austria, in 2016.
Mr. Karner started his working career at Austrian Lotteries where he started to focus on software development for mobile devices. At IIASA he has worked on the design of crowdsourcing applications and accompanying tools in web- and mobile applications in both native and cross-platform approaches. Furthermore, he has developed smartphone applications for guiding decisions in farming, by collecting information from farmers and providing information derived from output data generated by agricultural models developed at IIASA.
Last update: 13-FEB-2018
Lesiv M, Laso Bayas JC, See L, Dürauer M, Dahlia D, Durando N, Hazarika R, Sahariah PK, et al. (2019). Estimating the Global Distribution of Field Size using Crowdsourcing. Global Change Biology 25 (1): 174-186. DOI:10.1111/gcb.14492.
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.
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.
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, 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)
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.
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.
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.
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.
Enenkel M, See L, Karner M, Alvarez M, Rogenhofer E, Baraldes-Vallverdu C, Lanusse C, & Slase N (2015). Food security monitoring via mobile data collection and remote sensing: results from the Central African Republic. PLoS ONE 10 (11): e0142030. DOI:10.1371/journal.pone.0142030.
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.
Fritz S, Sturm T, See L, Perger C, Schill C, McCallum I, Schepaschenko D, Karner M, et al. (2014). Cropland Capture: A game to improve global cropland through crowdsourcing. [[Geophysical Research Abstracts]], 16:EGU2014-2004
Fritz S, Perger C, McCallum I, Schepaschenko D, See L, van der Velde M, Karner M, Albrecht F, et al. (2012). Geo-Wiki.org: Harnessing the power of volunteers, the internet and Google Earth to collect and validate global spatial information. In: Worlds Within Reach: From Science To Policy - IIASA 40th Anniversary Conference, 24-26 October 2012, Hofburg Congress Center, Vienna and IIASA, Laxenburg, Austria.
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