Items where IIASA Author is "Sturn, Tobias"

Kłopotek, G., Pan, Y., Sturn, T., Weinacker, R., See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Crocetti, L., Awadaljeed, M., Rothacher, M., McCallum, I. ORCID: https://orcid.org/0000-0002-5812-9988, Fritz, S. ORCID: https://orcid.org/0000-0003-0420-8549 et al. (2024). A Cloud-native Approach for Processing of Crowdsourced GNSS Observations and Machine Learning at Scale: A Case Study from the CAMALIOT Project. Advances in Space Research 10.1016/j.asr.2024.02.055. (In Press)

Orduña-Cabrera, F. ORCID: https://orcid.org/0000-0002-8558-0053, Sandoval-Gastelum, M., McCallum, I. ORCID: https://orcid.org/0000-0002-5812-9988, See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Fritz, S. ORCID: https://orcid.org/0000-0003-0420-8549, Karanam, S., Sturn, T., Javalera Rincón, V. ORCID: https://orcid.org/0000-0001-8743-9777 & Gonzalez-Navarro, F.F. (2023). Investigating the Use of Street-Level Imagery and Deep Learning to Produce In-Situ Crop Type Information. Geographies 3 (3), 563-573. 10.3390/geographies3030029.

See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Soja, B., Kłopotek, G., Sturn, T., Weinacker, R., Karanam, S., Georgieva, I. ORCID: https://orcid.org/0000-0002-5556-794X, Pan, Y., Crocetti, L., Rothacher, M. et al. (2023). Collecting volunteered geographic information from the Global Navigation Satellite System (GNSS): experiences from the CAMALIOT project. International Journal of Digital Earth 16 (1), 2818-2841. 10.1080/17538947.2023.2239761.

Soja, B., Kłopotek, G., Pan, Y., Crocetti, L., Mao, S., Awadaljeed, M., Rothacher, M., See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Sturn, T., Weinacker, R. et al. (2023). Machine Learning-Based Exploitation of Crowdsourced GNSS Data for Atmospheric Studies. In: IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium. pp. 1170-1173 Pasadena: IEEE. 10.1109/IGARSS52108.2023.10283441.

See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Sturn, T., Karanam, S., Subash, A., Fraisl, D. ORCID: https://orcid.org/0000-0001-7523-7967, McCallum, I. ORCID: https://orcid.org/0000-0002-5812-9988 & Fritz, S. ORCID: https://orcid.org/0000-0003-0420-8549 (2023). The Picture Pile Platform for Rapid Image Classification: Demonstrating the Potential for Citizen Science and SDG Monitoring. In: ISRSE39, 24-28 April 2023, Antalya, Turkey.

See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Sturn, T., Karanam, S., Subash, A., McCallum, I. ORCID: https://orcid.org/0000-0002-5812-9988 & Fritz, S. ORCID: https://orcid.org/0000-0003-0420-8549 (2022). Combining a rapid image classification app with artificial intelligence through the Picture Pile Platform for citizen science. In: ECSA Conference, 5-8 October 2022, Berlin.

Hadi, H., Yowargana, P., Zulkarnain, M.T., Mohamad, F., Goib, B.K., Hultera, P., Sturn, T., Karner, M., Dürauer, M., See, L. ORCID: https://orcid.org/0000-0002-2665-7065 et al. (2022). A national-scale land cover reference dataset from local crowdsourcing initiatives in Indonesia. Scientific Data 9 (1) 10.1038/s41597-022-01689-5.

Hadi, H., Yowargana, P., Zulkarnain, M.T., Mohamad, F., Goib, B.K., Hultera, Sturn, T., Karner, M., Dürauer, M., See, L. ORCID: https://orcid.org/0000-0002-2665-7065 et al. (2022). A national-scale land cover reference dataset from local crowdsourcing initiatives in Indonesia. 10.6084/m9.figshare.20278341.v1.

Crocetti, L., Soja, B., Kłopotek, G., Awadaljeed, M., Rothacher, M., See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Weinacker, R., Sturn, T., McCallum, I. ORCID: https://orcid.org/0000-0002-5812-9988 & Navarro, V. (2022). Machine learning algorithms for global modelling of Zenith Wet Delay based on GNSS measurements and meteorological data. In: 1st Workshop on Data Science for GNSS Remote Sensing, 13-15 June 2022, Potsdam, Germany.

Salk, C., Moltchanova, E., See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Sturn, T., McCallum, I. ORCID: https://orcid.org/0000-0002-5812-9988 & Fritz, S. ORCID: https://orcid.org/0000-0003-0420-8549 (2022). How many people need to classify the same image? A method for optimizing volunteer contributions in binary geographical classifications. PLOS ONE 17 (5), e0267114. 10.1371/journal.pone.0267114.

See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Laso Bayas, J.C. ORCID: https://orcid.org/0000-0003-2844-3842, Lesiv, M. ORCID: https://orcid.org/0000-0001-9846-3342, Shchepashchenko, D. ORCID: https://orcid.org/0000-0002-7814-4990, Danylo, O., McCallum, I. ORCID: https://orcid.org/0000-0002-5812-9988, Dürauer, M., Georgieva, I. ORCID: https://orcid.org/0000-0002-5556-794X, Domian, D., Fraisl, D. ORCID: https://orcid.org/0000-0001-7523-7967 et al. (2022). Lessons learned in developing reference data sets with the contribution of citizens: the Geo-Wiki experience. Environmental Research Letters 17 (6), e065003. 10.1088/1748-9326/ac6ad7.

See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Soja, B., Kłopotek, G., Awadaljeed, M., Crocetti, L., Pan, Y., Rothacher, M., Weinacker, R., Sturn, T., McCallum, I. ORCID: https://orcid.org/0000-0002-5812-9988 et al. (2022). The CAMALIOT project. In: FFG Informationsveranstaltung zu NAVISP, 10 May, 2022, Vienna, Austria.

Sturn, T., See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Karanam, S. & McCallum, I. ORCID: https://orcid.org/0000-0002-5812-9988 (2022). Extending Rapid Image Classification with the Picture Pile Platform for Citizen Science. In: EGU General Assembly 2022, 23-27 May 2022, Vienna.

Crocetti, L., Soja, B., Klopotek, G., Awadaljeed, M., Rothacher, M., See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Weinacker, R., Sturn, T., McCallum, I. ORCID: https://orcid.org/0000-0002-5812-9988 & Navarro, V. (2022). Machine learning and meteorological data for spatio-temporal prediction of tropospheric parameters. In: EGU General Assembly 2022, 23-27 May 2022, Vienna.

Crocetti, L., Soja, B., Klopotek, G., Awadaljeed, M., Rothacher, M., See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Weinacker, R. & Sturn, T. (2022). Machine learning based modelling of tropospheric parameters with GNSS enhanced by meteorological data. In: ESA Living Planet Symposium, 23-27 May 2022, Bonn, Germany.

Klopotek, G., Soja, B., Awadaljeed, M., Crocetti, L., Rothacher, M., See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Weinacker, R., Sturn, T., McCallum, I. ORCID: https://orcid.org/0000-0002-5812-9988 & Navarro, V. (2022). Total Electron Content Monitoring Complemented with Crowdsourced GNSS Observations. In: EGU General Assembly 2022, 23-27 May 2022, Vienna.

Fraisl, D. ORCID: https://orcid.org/0000-0001-7523-7967, See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Sturn, T., MacFeely, S., Bowser, A., Campbell, J., Moorthy, I., Danylo, O., McCallum, I. ORCID: https://orcid.org/0000-0002-5812-9988 & Fritz, S. ORCID: https://orcid.org/0000-0003-0420-8549 (2022). Demonstrating the potential of Picture Pile as a citizen science tool for SDG monitoring. Environmental Science & Policy 128, 81-93. 10.1016/j.envsci.2021.10.034.

Laso Bayas, J.C. ORCID: https://orcid.org/0000-0003-2844-3842, See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Bartl, H., Sturn, T., Karner, M., Fraisl, D. ORCID: https://orcid.org/0000-0001-7523-7967, Moorthy, I., Busch, M., van der Velde, M. & Fritz, S. ORCID: https://orcid.org/0000-0003-0420-8549 (2021). Crowdsourcing LUCAS: Data set from the 2018 FotoQuest Go Europe campaign.

Laso Bayas, J.C. ORCID: https://orcid.org/0000-0003-2844-3842, See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Bartl, H., Sturn, T., Karner, M., Fraisl, D. ORCID: https://orcid.org/0000-0001-7523-7967, Moorthy, I., Busch, M., van der Velde, M. & Fritz, S. ORCID: https://orcid.org/0000-0003-0420-8549 (2020). Crowdsourcing LUCAS: Citizens Generating Reference Land Cover and Land Use Data with a Mobile App. Land 9 (11), e446. 10.3390/land9110446.

Danylo, O., Hadi, H., Zulkarnain, T., Joshi, N., Ekadinata, A., Sturn, T., Mohamad, F., Goib, B., Yowargana, P., McCallum, I. ORCID: https://orcid.org/0000-0002-5812-9988 et al. (2020). Building up local knowledge on restoration: lessons learnt from organizing a set of crowdsourcing campaigns. DOI:10.5194/egusphere-egu2020-19043. In: European Geosciences Union (EGU) General Assembly 2020, 4-8 May 2020, Vienna, Austria.

Laso Bayas, J.C. ORCID: https://orcid.org/0000-0003-2844-3842, See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Sturn, T., Karner, M., Fraisl, D. ORCID: https://orcid.org/0000-0001-7523-7967, Moorthy, I., Subash, A., Georgieva, I. ORCID: https://orcid.org/0000-0002-5556-794X, Hager, G. ORCID: https://orcid.org/0000-0003-2259-0278, Lesiv, M. ORCID: https://orcid.org/0000-0001-9846-3342 et al. (2020). Monitoring of land use change by citizens: The FotoQuest experience. DOI:10.5194/egusphere-egu2020-7870. In: European Geosciences Union (EGU) General Assembly 2020, 4-8 May 2020, Vienna, Austria.

Banko, G., Birli, B., Stickler, T., Sturn, T., Wannemacher, K., Wildenberg, M. & Moorthy, I. (2020). Exploring and promoting green urban spaces in Vienna - can data about public perception help drive change? 10.5281/zenodo.3695015.

Olteanu-Raimond, A.-M., Marcuzzi, J., van Damme, M.-D., Sturn, T., Gombert, M., Jolivet, L., See, L. ORCID: https://orcid.org/0000-0002-2665-7065 & Royer, T. (2020). Crowd and community sourcing to update authoritative LULC data in urban areas. 10.5281/zenodo.3691826.

Schrammeijer, B., Sturn, T. & Moorthy, I. (2020). Crowdsourcing public perceptions of urban green space quality: A case study of Rembrandt park in Amsterdam. 10.5281/zenodo.3688392.

Fritz, S. ORCID: https://orcid.org/0000-0003-0420-8549, Sturn, T., Karner, M., Moorthy, I., See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Laso Bayas, J.C. ORCID: https://orcid.org/0000-0003-2844-3842 & Fraisl, D. ORCID: https://orcid.org/0000-0001-7523-7967 (2019). FotoQuest Go: A Citizen Science Approach to the Collection of In-Situ Land Cover and Land Use Data for Calibration and Validation. In: Digital Earth Observation, 01-04 July 2019, Salzburg, Austria.

Moorthy, I., Sturn, T., Batic, M., See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Milčinski, G. & Fritz, S. ORCID: https://orcid.org/0000-0003-0420-8549 (2019). Improving Cloud Detection in Satellite Imagery using a Citizen Science Approach. In: Digital Earth Observation, 01-04 July 2019, Salzburg, Austria.

Lesiv, M. ORCID: https://orcid.org/0000-0001-9846-3342, Laso Bayas, J.C. ORCID: https://orcid.org/0000-0003-2844-3842, See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Dürauer, M., Dahlia, D., Durando, N., Hazarika, R., Sahariah, P.K., Vakolyuk, M., Blyshchyk, V. et al. (2019). Estimating the Global Distribution of Field Size using Crowdsourcing. Global Change Biology 25 (1), 174-186. 10.1111/gcb.14492.

Moorthy, I., Joshi, N., Zulkarnain, M.T., Ekadinata, A., Sturn, T., Mohamad, F., Goib, B., Yowargana, P., Danylo, O., McCallum, I. ORCID: https://orcid.org/0000-0002-5812-9988 et al. (2019). Validating maps of land cover and land degradation with citizen science and mobile gaming. In: XXV IUFRO World Congress, 29 September-5 October 2019, Curtitiba, Brazil.

Laso Bayas, J.C. ORCID: https://orcid.org/0000-0003-2844-3842, Moorthy, I., Sturn, T., Karner, M., Perger, C., Fraisl, D. ORCID: https://orcid.org/0000-0001-7523-7967, Domian, D., Gardeazabal, A., Vargas, L., Capellan, S. 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. ORCID: https://orcid.org/0000-0001-9846-3342, Bayas, J.C.L., See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Duerauer, M., Dahlia, D., Durando, N., Hazarika, R., Sahariah, P.K., Vakolyuk, M., Blyshchyk, V. et al. (2018). Estimating the Global Distribution of Field Size using Crowdsourcing.

Lesiv, M. ORCID: https://orcid.org/0000-0001-9846-3342, See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Laso Bayas, J.C. ORCID: https://orcid.org/0000-0003-2844-3842, Sturn, T., Schepaschenko, D. ORCID: https://orcid.org/0000-0002-7814-4990, Karner, M., Moorthy, I., McCallum, I. ORCID: https://orcid.org/0000-0002-5812-9988 & Fritz, S. ORCID: https://orcid.org/0000-0003-0420-8549 (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. 10.3390/land7040118.

Olteanu-Raimond, A.-M., Jolivet, L., Van Damme, M.-D., Royer, T., Fraval, L., See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Sturn, T., Karner, M., Moorthy, I. & Fritz, S. ORCID: https://orcid.org/0000-0003-0420-8549 (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. 10.3390/land7030103.

Danylo, O., Moorthy, I., Sturn, T., See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Laso Bayas, J.-C. ORCID: https://orcid.org/0000-0003-2844-3842, Domian, D., Fraisl, D. ORCID: https://orcid.org/0000-0001-7523-7967, Giovando, C., Girardot, B., Kapur, R. 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. 10.5194/isprs-annals-IV-4-27-2018.

Wannemacher, K., Birli, B., Sturn, T., Stiles, R., Moorthy, I., See, L. ORCID: https://orcid.org/0000-0002-2665-7065 & Fritz, S. ORCID: https://orcid.org/0000-0003-0420-8549 (2018). Using Citizen Science to Help Monitor Urban Landscape Changes and Drive Improvements. Journal for Geographic Information Science-GI_Forum 1, 336-343. 10.1553/giscience2018_01_s336.

Moorthy, I., Sturn, T., Fraisl, D. ORCID: https://orcid.org/0000-0001-7523-7967, Karner, M., Laso Bayas, J.C. ORCID: https://orcid.org/0000-0003-2844-3842, See, L. ORCID: https://orcid.org/0000-0002-2665-7065 & McCallum, I. ORCID: https://orcid.org/0000-0002-5812-9988 (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. ORCID: https://orcid.org/0000-0001-9846-3342, Fritz, S. ORCID: https://orcid.org/0000-0003-0420-8549, Laso Bayas, J.C. ORCID: https://orcid.org/0000-0003-2844-3842, Dürauer, M., Domian, D., See, L. ORCID: https://orcid.org/0000-0002-2665-7065, McCallum, I. ORCID: https://orcid.org/0000-0002-5812-9988, Danylo, O., Perger, C., Karner, M. et al. (2018). Global Field Sizes Dataset for Ecosystems Modeling. In: European Geosciences Union General Assembly 2018, 9-13 April 2018, Vienna, Austria.

McCallum, I ORCID: https://orcid.org/0000-0002-5812-9988, See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Sturn, T., Salk, C., Perger, C., Dürauer, M., Karner, M., Moorthy, I., Domian, D., Schepaschenko, D. ORCID: https://orcid.org/0000-0002-7814-4990 et al. (2018). Engaging Citizens in Environmental Monitoring via Gaming. International Journal of Spatial Data Infrastructures Research 13, 15-23. 10.2902/1725-0463.2018.13.art3.

Moorthy, I., See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Fritz, S. ORCID: https://orcid.org/0000-0003-0420-8549, McCallum, I. ORCID: https://orcid.org/0000-0002-5812-9988, Perger, C., Dürauer, M., Dresel, C., Sturn, T., Karner, M., Schepaschenko, D. ORCID: https://orcid.org/0000-0002-7814-4990 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.

Woodard, J., Andriessen, M., Cohen, C., Cox, C., Fritz, S. ORCID: https://orcid.org/0000-0003-0420-8549, Johnson, D., Koo, J., McLean, M., See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Speck, T. 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 978-1-4648-1002-2 10.1596/978-1-4648-1002-2_Module15.

Fritz, S. ORCID: https://orcid.org/0000-0003-0420-8549, See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Perger, C., McCallum, I. ORCID: https://orcid.org/0000-0002-5812-9988, Schill, C., Schepaschenko, D. ORCID: https://orcid.org/0000-0002-7814-4990, Duerauer, M., Karner, M., Dresel, C., Laso-Bayas, J.-C. et al. (2017). A global dataset of crowdsourced land cover and land use reference data. Scientific Data 4, p. 170075. 10.1038/sdata.2017.75.

Danylo, O., Sturn, T., Giovando, C., Moorthy, I., Fritz, S. ORCID: https://orcid.org/0000-0003-0420-8549, See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Kapur, R., Girardot, B., Ajmar, A., Tonolo, F.G. 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. ORCID: https://orcid.org/0000-0002-2665-7065 & Fritz, S. ORCID: https://orcid.org/0000-0003-0420-8549 (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. 10.3390/rs8090774.

Salk, C., Sturn, T., See, L. ORCID: https://orcid.org/0000-0002-2665-7065 & Fritz, S. ORCID: https://orcid.org/0000-0003-0420-8549 (2016). Limitations of Majority Agreement in Crowdsourced Image Interpretation. Transactions in GIS, 1-17. 10.1111/tgis.12194.

Salk, C.F., Sturn, T., See, L. ORCID: https://orcid.org/0000-0002-2665-7065 & Fritz, S. ORCID: https://orcid.org/0000-0003-0420-8549 (2016). Assessing quality of volunteer crowdsourcing contributions: lessons from the Cropland Capture game. International Journal of Digital Earth 9 (4), 310-426. 10.1080/17538947.2015.1039609.

Laso-Bayas, J.C. ORCID: https://orcid.org/0000-0003-2844-3842, See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Fritz, S. ORCID: https://orcid.org/0000-0003-0420-8549, Sturn, T., Karner, M., Perger, C., Dürauer, M., Mondel, T., Domian, D., Moorthy, I. 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.

Laso Bayas, J.C. ORCID: https://orcid.org/0000-0003-2844-3842, See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Fritz, S. ORCID: https://orcid.org/0000-0003-0420-8549, Sturn, T., Perger, C., Dürauer, M., Karner, M., Moorthy, I., Schepaschenko, D. ORCID: https://orcid.org/0000-0002-7814-4990, Domian, D. et al. (2016). Crowdsourcing In-Situ Data on Land Cover and Land Use Using Gamification and Mobile Technology. Remote Sensing 8 (11), e905. 10.3390/rs8110905.

Fritz, S. ORCID: https://orcid.org/0000-0003-0420-8549, See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Moorthy, I., McCallum, I. ORCID: https://orcid.org/0000-0002-5812-9988, Perger, C., Shchepashchenko, D. ORCID: https://orcid.org/0000-0002-7814-4990, Lesiv, M. ORCID: https://orcid.org/0000-0001-9846-3342, Shvidenko, A., Salk, C., Dürauer, M. 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. ORCID: https://orcid.org/0000-0002-2665-7065, Fritz, S. ORCID: https://orcid.org/0000-0003-0420-8549, Perger, C., Schill, C., McCallum, I. ORCID: https://orcid.org/0000-0002-5812-9988, Schepaschenko, D. ORCID: https://orcid.org/0000-0002-7814-4990, Dürauer, M., Sturn, T., Karne, M., Kraxner, F. 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. 10.1016/j.techfore.2015.03.002.

Sturn, T., Wimmer, M., Salk, C., Perger, C., See, L. ORCID: https://orcid.org/0000-0002-2665-7065 & Fritz, S. ORCID: https://orcid.org/0000-0003-0420-8549 (2015). Cropland Capture – A Game for Improving Global Cropland Maps. In: Foundatoins of Digital Games, 22-25 June 2015, California.

Salk, C., Sturn, T., Fritz, S. ORCID: https://orcid.org/0000-0003-0420-8549, See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Fuss, S., Perger, C., Dürauer, M., McCallum, I. ORCID: https://orcid.org/0000-0002-5812-9988 & Obersteiner, M. ORCID: https://orcid.org/0000-0001-6981-2769 (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)

Sturn, T., Perger, C., See, L. ORCID: https://orcid.org/0000-0002-2665-7065, McCallum, I. ORCID: https://orcid.org/0000-0002-5812-9988, Salk, C., Wimmer, M. & Fritz, S. ORCID: https://orcid.org/0000-0003-0420-8549 (2014). Cropland Capture: an effective game for collecting VGI. Position Paper, [[Role of Volunteered Geographic Information in Advancing Science: Effective Utilization

See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Sturn, T., Perger, C., Fritz, S. ORCID: https://orcid.org/0000-0003-0420-8549, McCallum, I. ORCID: https://orcid.org/0000-0002-5812-9988 & 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.

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