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, Navarro, V. & Soja, B.
(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 74 (6), 2752-2770. 10.1016/j.asr.2024.02.055.
Pan, Y., Kłopotek, G., Crocetti, L., Weinacker, R., Sturn, T., See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Dick, G., Möller, G., Rothacher, M., McCallum, I., Navarro, V. & Soja, B.
(2024).
Determination of high-precision tropospheric delays using crowdsourced smartphone GNSS data.
Atmospheric Measurement Techniques 17 (14), 4303-4316. 10.5194/amt-17-4303-2024.
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., Navarro, V., Fritz, S.
ORCID: https://orcid.org/0000-0003-0420-8549 & McCallum, I.
ORCID: https://orcid.org/0000-0002-5812-9988
(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., McCallum, I.
ORCID: https://orcid.org/0000-0002-5812-9988 & Navarro, V.
(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, Fritz, S.
ORCID: https://orcid.org/0000-0003-0420-8549, Hendriatna, A., Nursafingi, Afi, Melati, D.N., Prasetya, F.V.A.S., Carolita, I., Kiswanto, Firdaus, M.I., Rosidi, M. & Kraxner, F.
(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, Fritz, S.
ORCID: https://orcid.org/0000-0003-0420-8549, Hendriatna, A., Nursafingi, A., Melati, D.N., Prasetya, F.V., Carolita, I., Kiswanto, Firdaus, M.I., Rosidi, M. & Kraxner, F.
(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, Hager, G.
ORCID: https://orcid.org/0000-0003-2259-0278, Karanam, S., Moorthy, I., Sturn, T., Subash, A. & Fritz, S.
ORCID: https://orcid.org/0000-0003-0420-8549
(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 & Navarro, V.
(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.
10.22022/nodes/05-2021.120.
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, Moorthy, I., See, L.
ORCID: https://orcid.org/0000-0002-2665-7065, Fritz, S.
ORCID: https://orcid.org/0000-0003-0420-8549 & Kraxner, F.
(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, Hadi, H., Danylo, O., Karanam, S., Dürauer, M., Dahlia, D., Shchepashchenko, D.
ORCID: https://orcid.org/0000-0002-7814-4990, McCallum, I.
ORCID: https://orcid.org/0000-0002-5812-9988 & Fritz, S.
ORCID: https://orcid.org/0000-0003-0420-8549
(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., Bilous, A., Perez-Hoyos, A., Gengler, S., Prestele, R., Bilous, S., Akhtar, I.H., Singha, K., Choudhury, S.B., Chetri, T., Malek, Z. 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, Kraxner, F., See, L.
ORCID: https://orcid.org/0000-0002-2665-7065 & Fritz, S.
ORCID: https://orcid.org/0000-0003-0420-8549
(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., Danylo, O., Lesiv, M.
ORCID: https://orcid.org/0000-0001-9846-3342, Dürauer, M., Dresel, C., Hager, G.
ORCID: https://orcid.org/0000-0003-2259-0278, Saad, M., Subash, A., Smith, B., Joshi, N., Schepaschenko, D.
ORCID: https://orcid.org/0000-0002-7814-4990 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., Bilous, A., Perez-Hoyos, A., Gengler, S., Prestele, R., Bilous, S., Akhtar, I., Singha, K., Choudhury, S.B., Chetri, T., Malek, Z.
ORCID: https://orcid.org/0000-0002-6981-6708 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., Matthieu, P.-P. & Fritz, S.
ORCID: https://orcid.org/0000-0003-0420-8549
(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., Schepaschenko, D.
ORCID: https://orcid.org/0000-0002-7814-4990, Moorthy, I., Fraisl, D.
ORCID: https://orcid.org/0000-0001-7523-7967 & Sturn, T.
(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 & Fritz, S.
ORCID: https://orcid.org/0000-0003-0420-8549
(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, Lesiv, M.
ORCID: https://orcid.org/0000-0001-9846-3342, Danylo, O., Laso Bayas, J.C.
ORCID: https://orcid.org/0000-0003-2844-3842, Salk, C., Maus, V.
ORCID: https://orcid.org/0000-0002-7385-4723, Fraisl, D.
ORCID: https://orcid.org/0000-0001-7523-7967, Domian, D. & Mathieu, P.P.
(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. & Sturn, T.
(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., Lesiv, M.
ORCID: https://orcid.org/0000-0001-9846-3342, Moorthy, I., Salk, C.F., Danylo, O., Sturn, T., Albrecht, F., You, L., Kraxner, F. & Obersteiner, M.
ORCID: https://orcid.org/0000-0001-6981-2769
(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.
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