Overview

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Research keywords:
Digital Soil Mapping, Machine Learning, Proximal Soil Sensing, Vis-NIR and MIR Spectroscopy, Pedometrics, Open Science

Publications

Postharvest technology

Digital Soil Mapping and Proximal Soil Sensing Le Nguyen, L. P., Zsom, T., Sao Dam, M., Baranyai, L., & Hitka, G. (2019). Evaluation of the 1-MCP microbubbles treatment for shelf-life extension for melons. Postharvest Biology and Technology, 150, 89-94.

Gelsleichter, Y. A., Costa, E. M., dos Anjos, L. H. C., & Marcondes, R. A. T. (2023). Enhancing Soil Mapping with Hyperspectral Subsurface Images generated from soil lab Vis-SWIR spectra tested in southern Brazil. Geoderma Regional, 33, e00641. https://doi.org/10.1016/j.geodrs.2023.e00641

Costa, E. M., Pinheiro, H. S. K., Anjos, L. H. C. D., Marcondes, R. A. T., & Gelsleichter, Y. A. (2020). Mapping soil properties in a poorly-accessible area. Revista Brasileira de Ciência do Solo, 44, e0190107. http://doi.org/10.36783/18069657rbcs20190107

Gelsleichter, Y.A., Toth, A.J., Micheli, E. et al. Digital Soil Mapping of Soil Organic Carbon at Eastern Slopes of Mount Kenya. Eurasian Soil Sc. 58, 140 (2025). https://doi.org/10.1134/S1064229324602749

Soil Organic Carbon

Rotich, B., Szegi, T., Gelsleichter, Y. A., Fuchs, M., Ocansey, C. M., Phenson, J. N., Abdulkadir, M., Kipkulei, H., Wawire, A., Mutuma, E., Mesele, S. A., Michéli, E., & Csorba, Á. (2025). Variation in Soil Organic Carbon and Total Nitrogen Stocks Across Elevation Gradients and Soil Depths in the Mount Kenya East Forest. Land, 14(6), 1217. https://doi.org/10.3390/land14061217

Phenson, Justine Nsima and Csorba, Ádám and Mesele, Samuel Ayodele and Ocansey, Caleb Melenya and Gelsleichter, Yuri Andrei and Rotich, Brian and Lameck, Azaria Stephano and Mwango, Sibaway B. and Michéli, Erika, The Status of Soil Organic Carbon and Carbon Stocks from Agricultural Fields in the Mbeya Region, Tanzania http://doi.org/10.2139/ssrn.4907128

Proximal Soil Sensing for Soil Classification

Michéli, E., Fuchs, M., Gelsleichter, Y., Zein, M., Csorba, Á. (2023). Spectroscopy Supported Definition and Classification of Sandy Soils in Hungary. In: Hartemink, A.E., Huang, J. (eds) Sandy Soils. Progress in Soil Science. Springer, Cham. https://doi.org/10.1007/978-3-031-50285-9_6

Open Science and Computational Reproducibility

Gelsleichter, Y. A., Banzi, R., Naudet, F., Vinatier, C., Kertész, I., & Varga, M. (2025). Survey about Barriers and Solutions for Enhancing Computational Reproducibility in Scientific Research. F1000Research, 14, 1278. https://doi.org/10.12688/f1000research.172013.1

Climate Modeling

Delgado, R. C., de Santana, R. O., Gelsleichter, Y. A., & Pereira, M. G. (2022). Degradation of South American biomes: What to expect for the future?. Environmental Impact Assessment Review, 96, 106815. https://doi.org/10.1016/j.eiar.2022.106815


Projects

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Dr. Gelsleichter Yuri
Institute of Environmental Sciences
Campus address: H-2100 Gödöllő, Páter Károly str. 1.
Gelsleichter.Yuri.Andrei@uni-mate.hu
Gelsleichter.Yuri.Andrei@uni-mate.hu

MTMT: 10085273
Scopus: 57214799331