Debreceni Egyetem. Természettudományi és Technológiai Kar. Földtudományi Intézet. Tájvédelmi és Környezetföldrajzi Tanszék / University of Debrecen. Faculty of Science and Technology. Institute of Earth Sciences. Department of Landscape Protection and Environmental Geography
Q2
Renewable Energy, Sustainability and the Environment
2.
Hateffard, F.,
Steinbuch, L.,
Heuvelink, G. B.:
Evaluating the extrapolation potential of random forest digital soil mapping.
Geoderma. 441, 1-8, (article identifier: 116740), 2024.
Hateffard, F.,
Szatmári, G.,
Novák, T.:
Applicability of machine learning models for predicting soil organic carbon content and bulk density under different soil conditions.
Soil Sci. Ann. 74 (1), 1-11, (article identifier: 165879), 2023.
Hateffard, F.,
Balog, K.,
Tóth, T.,
Mészáros, J.,
Árvai, M.,
Kovács, Z. A.,
Szűcs, V. N.,
Koós, S.,
László, P.,
Novák, T.,
Pásztor, L.,
Szatmári, G.:
High-Resolution Mapping and Assessment of Salt-Affectedness on Arable Lands by the Combination of Ensemble Learning and Multivariate Geostatistics.
Agronomy-Basel. 12 (8), 1-19, (article identifier: 1858), 2022.
Hateffard, F.,
Mohammed, S.,
Alsafadi, K.,
Enaruvbe, G. O.,
Heidari, A.,
Abdo, H. G.,
Rodrigo-Comino, J.:
CMIP5 climate projections and RUSLE-based soil erosion assessment in the central part of Iran.
Sci. Rep. 11 (1), 1-17, 2021.
