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Tobias Sturn received his Master’s degree from the FH Technikum Vienna in Game Engineering and Simulation in 2010. He then worked as project assistant at the Computer Graphics Institute at TU Vienna. In the Landspotting Project he has been collaborating with IIASA to design and develop serious games for improving global land cover. He joined the Ecosystems Services and Management Program (ESM) at IIASA in April 2014, to design and develop serious games like Cropland Capture, Picture Pile or FotoQuest Go.
Mr. Sturn's interests cover human-computer interaction, computer graphics and all aspects of gaming, especially games with a purpose and edutainment. With his game development company Emoak he has published a number of games like 'Let’s Dance” or “Paper Climb'. The latter game has been finalist for the Content Award and Future Zone Award. With the help of his latest serious game development 'Cropland Capture' more than 4 million square kilometers of global land surface have already been validated to date by players to improve global land cover maps. The game has been widely featured in the media such as by NPR and The Guardian.
Last update: 13-FEB-2018
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.
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.
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.
Woodard J, Andriessen M, Cohen C, Cox C, Fritz S, Johnson D, Koo J, McLean M, et al. (2017). Using ICT for Remote Sensing, Crowdsourcing, and Big Data to Unlock the Potential of Agricultural Data. In: ICT in Agriculture (Updated Edition): Connecting Smallholders to Knowledge, Networks, and Institutions. pp. 401-431 USA: The World Bank Publications. ISBN 978-1-4648-1002-210.1596/978-1-4648-1002-2_Module15.
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.
Salk C, Sturn T, See L, & Fritz S (2016). Local knowledge and professional background have a minimal impact on volunteer citizen science performance in a land-cover classification task. Remote Sensing 8 (10): e774. DOI:10.3390/rs8090774.
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.
Salk CF, Sturn T, See L, & Fritz S (2016). Assessing quality of volunteer crowdsourcing contributions: lessons from the Cropland Capture game. International Journal of Digital Earth 9 (4): 310-426. DOI:10.1080/17538947.2015.1039609.
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.
See L, Fritz S, Perger C, Schill C, McCallum I, Schepaschenko D, Dürauer M, Sturn T, et al. (2015). Harnessing the power of volunteers, the internet and Google Earth to collect and validate global spatial information using Geo-Wiki. Technological Forecasting and Social Change 98: 324-335. DOI:10.1016/j.techfore.2015.03.002.
Salk C, Sturn T, Fritz S, See L, Fuss S, Perger C, Dürauer M, McCallum I, et al. (2014). Collecting, analyzing and assessing big land use data: Results from the cropland capture game. Presentation, [[AGU Fall Meeting]], 15-19 December 2014, San Francisco, CA, USA (2014)
Salk Carl, Sturn T, Fritz S, & See L (2014). Assessing metrics of user quality in a simple land cover validation task. In: Eighth International Conference on Geographic Information Science (GIScience 2014), 23-26 September 2014.
Sturn T, Perger C, See L, McCallum I, Salk C, Wimmer M, & Fritz S (2014). Cropland Capture: an effective game for collecting VGI. Position Paper, [[Role of Volunteered Geographic Information in Advancing Science: Effective Utilization
See L, Sturn T, Perger C, Fritz S, McCallum I, & Salk C (2014). Cropland Capture: A gaming approach to improve global land cover. In: Proceedings, AGILE 2014, "Connecting a Digital Europe through Location and Place, 3-6 June 2014.
Fritz S, Purgathofer P, Kayali F, Fellner M, Sturn T, Perger C, Dürauer M, Haberl W, et al. (2012). Landspotting: Social gaming to collect vast amounts of data for satellite validation. In: European Geosciences Union General Assembly 2012, 23 April 2012, Austria Center Vienna, Austria. (Unpublished)
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