Publications
Crocetti, L., Soja, B., Kłopotek, G., Awadaljeed, M., Rothacher, M., See, L. , Weinacker, R., Sturn, T., McCallum, I. , & 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. , Sturn, T., McCallum, I. , & Fritz, S. (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. , Laso Bayas, J.C. , Lesiv, M. , Shchepashchenko, D. , Danylo, O., McCallum, I. , Dürauer, M., Georgieva, I., Domian, D., Fraisl, D. , Hager, G. , Karanam, S., Moorthy, I., Sturn, T., Subash, A., & Fritz, S. (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.
Crocetti, L., Soja, B., Klopotek, G., Awadaljeed, M., Rothacher, M., See, L. , Weinacker, R., Sturn, T., McCallum, I. , & 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. , 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.