Items where IIASA Author is "Karanam, Santosh"

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., 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.

Boogaard, H., Pratihast, A.K., Laso Bayas, J.. ORCID: https://orcid.org/0000-0003-2844-3842, Karanam, S., Fritz, S. ORCID: https://orcid.org/0000-0003-0420-8549, Van Tricht, K., Degerickx, J. & Gilliams, S. (2023). Building a community-based open harmonised reference data repository for global crop mapping. PLoS ONE 18 (7), e0287731. 10.1371/journal.pone.0287731.

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.

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., 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.

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.