Szatmári Gábor

- Digital soil mapping

- Geostatistics and geomathematics

- Machine learning algorithms

- Model-based sampling optimization

- Quantification, evaluation and communication of uncertainty in spatial modelling

ResearchGate   Google Scholar   ORCID

Five of Selected publications

Hatvani I.G., Szatmári G., Kern Z., Erdélyi D., Vreča P., Kanduč T., Czuppon Gy., Lojen S., Kohán B. (2021): Geostatistical evaluation of the design of the precipitation stable isotope monitoring network for Slovenia and Hungary. ENVIRONMENT INTERNATIONAL 146, Paper: 106263 [link]

Szatmári G., Bakacsi Zs., Laborczi A., Petrik O., Pataki R., Tóth T., Pásztor L. (2020): Elaborating Hungarian Segment of the Global Map of Salt-Affected Soils (GSSmap): National Contribution to an International Initiative. REMOTE SENSING 12(24), Paper: 4073. [link]

Szatmári G., Pirkó B., Koós S., Laborczi A., Bakacsi Zs., Szabó J., Pásztor L. (2019): Spatio-temporal assessment of topsoil organic carbon stock change in Hungary. SOIL & TILLAGE RESEARCH 195, Paper: 104410 [link]

Szatmári G., László P., Takács K., Szabó J., Bakacsi Zs., Koós S., Pásztor L. (2019): Optimization of second-phase sampling for multivariate soil mapping purposes: Case study from a wine region, Hungary. GEODERMA 352, 373-384. [link]

Szatmári G., Pásztor L. (2019): Comparison of various uncertainty modelling approaches based on geostatistics and machine learning algorithms. GEODERMA 337, 1329-1340. [link]