Tudóstér: Hateffard Fatemeh publikációi

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feltöltött közlemény: 7 Open Access: 5
2024
  1. Benhizia, R., Phinzi, K., Hateffard, F., Aib, H., Szabó, G.: Drought Monitoring Using Moderate Resolution Imaging Spectroradiometer-Derived NDVI Anomalies in Northern Algeria from 2011 to 2022.
    Environments. 11 (5), 1-17, 2024.
    Folyóirat-mutatók:
    Q1 Ecology, Evolution, Behavior and Systematics (2023)
    Q2 Environmental Science (miscellaneous) (2023)
    Q2 Renewable Energy, Sustainability and the Environment (2023)
  2. Hateffard, F., Steinbuch, L., Heuvelink, G.: Evaluating the extrapolation potential of random forest digital soil mapping.
    Geoderma. 441 1-8, 2024.
    Folyóirat-mutatók:
    D1 Soil Science (2023)
2023
  1. 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, 2023.
    Folyóirat-mutatók:
    Q2 Earth and Planetary Sciences (miscellaneous)
    Q3 Environmental Science (miscellaneous)
    Q3 Soil Science
2022
  1. Hateffard, F., Márta, L., Novák, T.: Anthrosequence of soils on Aeolian Sand Dunes in Westsik`s experimental field, Nyíregyháza, Hungary.
    In: Soil sequences Atlas V.. Ed.:Marcin Świtoniak, Przemysław Charzyński, Nicolaus Copernicus University, Torun, 167-180, 2022. ISBN: 9788323149606
  2. Hateffard, F., Balog, K., Tóth, T., Mészáros, J., Árvai, M., Kovács, Z., Szűcs, -., 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, 2022.
    Folyóirat-mutatók:
    Q1 Agronomy and Crop Science
2021
  1. Hateffard, F., Mohammed, S., Alsafadi, K., Enaruvbe, G., Heidari, A., Abdo, H., 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.
    Folyóirat-mutatók:
    D1 Multidisciplinary
  2. Hateffard, F., Novák, T.: Soil sampling design optimization by using conditioned Latin Hypercube sampling.
    In: 3rd ISMC Conference - Advances in Modeling Soil Systems, [s.n.], [s.l.], 85, 2021.
feltöltött közlemény: 7 Open Access: 5
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A szolgáltatást nyújtja: DEENK