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Showing 1–7 of 7 results

Advanced filters: Author: Evgeny Burnaev Clear advanced filters

Data-driven uncertainty-aware forecasting of sea ice conditions in the gulf of Ob based on satellite radar imagery

Stefan Maria Ailuro
Anna Nedorubova
Vladimir Vanovskiy
ResearchOpen Access01 Oct 2025
Scientific Reports

Volume: 15, P: 1-16
Packed Fruits and Vegetables Visual Classification and Segmentation Benchmark

Svetlana Illarionova
Sergey Nesteruk
Evgeny Burnaev
ResearchOpen Access28 Nov 2025
Scientific Data

Volume: 12, P: 1-16
Challenges in data-driven geospatial modeling for environmental research and practice

In this scoping review, the authors explore the challenges and opportunities of implementing data-driven geospatial models—namely machine learning and deep learning algorithms—in environmental research.

Diana Koldasbayeva
Polina Tregubova
Evgeny Burnaev
ReviewsOpen Access19 Dec 2024
Nature Communications

Volume: 15, P: 1-16
Exploration of geo-spatial data and machine learning algorithms for robust wildfire occurrence prediction

Svetlana Illarionova
Dmitrii Shadrin
Evgeny Burnaev
ResearchOpen Access28 Mar 2025
Scientific Reports

Volume: 15, P: 1-25
Advancing forest carbon stocks’ mapping using a hierarchical approach with machine learning and satellite imagery

Svetlana Illarionova
Polina Tregubova
Evgeny Burnaev
ResearchOpen Access09 Sept 2024
Scientific Reports

Volume: 14, P: 1-20
Wildfire spreading prediction using multimodal data and deep neural network approach

Dmitrii Shadrin
Svetlana Illarionova
Evgeny Burnaev
ResearchOpen Access31 Jan 2024
Scientific Reports

Volume: 14, P: 1-17
Forest age estimation in northern Arkhangelsk region based on machine learning pipeline on Sentinel-2 and auxiliary data

Alina Smolina
Svetlana Illarionova
Evgeny Burnaev
ResearchOpen Access13 Dec 2023
Scientific Reports

Volume: 13, P: 1-17