P. Tregubova

发表

Field heterogeneity detection based on the modified FastICA RGB-image processing

S. A. Matveev, Ivan Oseledets, L. Mirvakhabova, 2018, Journal of Physics: Conference Series.

Sensitivity Analysis of Soil Parameters in Crop Model Supported with High-Throughput Computing

Ivan Oseledets, Mikhail Gasanov, Anna Petrovskaia, 2020, ICCS.

Application of humic substances in the remediation of heavy-metal-polluted soils of the Subarctic Zone of the Kola Peninsula

G. Koptsik, M. Kadulin, I. Smirnova, 2017, Moscow University Soil Science Bulletin.

A Survey of Computer Vision Techniques for Forest Characterization and Carbon Monitoring Tasks

Dmitrii G. Shadrin, I. Oseledets, Evgeny Burnaev, 2022, Remote. Sens..

Regulation-based probabilistic substance quality index and automated geo-spatial modeling for water quality assessment

Dmitrii G. Shadrin, I. Oseledets, Artyom Nikitin, 2021, Scientific Reports.

An Automated Approach to Groundwater Quality Monitoring—Geospatial Mapping Based on Combined Application of Gaussian Process Regression and Bayesian Information Criterion

Dmitrii G. Shadrin, V. Terekhova, Artyom Nikitin, 2021, Water.

Organic amendments potentially stabilize metals in smelter contaminated Arctic soils: An incubation study

G. Koptsik, G. Spiers, S. Koptsik, 2021, Heliyon.

Large-scale forecasting of Heracleum sosnowskyi habitat suitability under the climate change on publicly available data

Dmitrii G. Shadrin, M. Pukalchik, P. Tregubova, 2022, Scientific Reports.

Optimization of Water Quality Monitoring Networks Using Metaheuristic Approaches: Moscow Region Use Case

Ivan V. Oseledets, Dmitrii Shadrin, Mariia Pukalchik, 2021, Water.

Challenges in data-based geospatial modeling for environmental research and practice

E. Burnaev, P. Tregubova, M. Gasanov, 2023, ArXiv.