Kovács, D. D., De Clerck, E., & Verrelst, J. (2025). Py EOGPR: A Python package for vegetation trait mapping with Gaussian Process Regression on Earth observation cloud platforms. Ecological Informatics, 92, N.PAG-0. https://doi.org/10.1016/j.ecoinf.2025.103497
ISO-690 (author-date, English)KOVÁCS, Dávid D., DE CLERCK, Emma und VERRELST, Jochem, 2025. Py EOGPR: A Python package for vegetation trait mapping with Gaussian Process Regression on Earth observation cloud platforms. Ecological Informatics. 15 Dezember 2025. Vol. 92, , p. N.PAG-0. DOI 10.1016/j.ecoinf.2025.103497.
Modern Language Association 9th editionKovács, D. D., E. De Clerck, und J. Verrelst. „Py EOGPR: A Python Package for Vegetation Trait Mapping With Gaussian Process Regression on Earth Observation Cloud Platforms.“. Ecological Informatics, Bd. 92, Dezember 2025, S. N.PAG-0, https://doi.org/10.1016/j.ecoinf.2025.103497.
Mohr Siebeck - Recht (Deutsch - Österreich)Kovács, Dávid D./De Clerck, Emma/Verrelst, Jochem: Py EOGPR: A Python package for vegetation trait mapping with Gaussian Process Regression on Earth observation cloud platforms., Ecological Informatics 2025, N.PAG-0.
Emerald - HarvardKovács, D.D., De Clerck, E. und Verrelst, J. (2025), „Py EOGPR: A Python package for vegetation trait mapping with Gaussian Process Regression on Earth observation cloud platforms.“, Ecological Informatics, Vol. 92, S. N.PAG-0.