Items where IIASA Author is "Sturn, Tobias"

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Number of items: 54.

Article

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.

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.

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.

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 (2020). Crowdsourcing LUCAS: Citizens Generating Reference Land Cover and Land Use Data with a Mobile App. Land 9 (11), e446. 10.3390/land9110446.

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.

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.

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.

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.

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., 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.

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.

Book Section

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.

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.

Conference or Workshop Item

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Fritz, S. ORCID: https://orcid.org/0000-0003-0420-8549, Purgathofer, P., Kayali, F., Fellner, M., Sturn, T., Perger, C., Dürauer, M., Haberl, W., See, L. ORCID: https://orcid.org/0000-0002-2665-7065 & McCallum, I. ORCID: https://orcid.org/0000-0002-5812-9988 (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)

Data

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.

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.

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.

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.

Fritz, S. ORCID: https://orcid.org/0000-0003-0420-8549, See, Linda ORCID: https://orcid.org/0000-0002-2665-7065, Perger, C., McCallum, I. ORCID: https://orcid.org/0000-0002-5812-9988, Schill, C., Shchepashchenko, D. ORCID: https://orcid.org/0000-0002-7814-4990, Duerauer, M., Karner, M., Dresel, C., Laso Bayas, J.C. ORCID: https://orcid.org/0000-0003-2844-3842 et al. (2012). A global dataset of crowdsourced land cover and land use reference data (2011-2012).

Other

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

This list was generated on Sat Apr 20 17:35:18 2024 UTC.