Kirill Korznikov

Using U-Net-Like Deep Convolutional Neural Networks for Precise Tree Recognition in Very High Resolution RGB (Red, Green, Blue) Satellite Images

Kirill Korznikov, Dmitriy Kislov, Jan Altman et al. · Forests · 2021 · 74 citations · Full text

Convolutional Neural Network, Engineering, Forest Biometrics +17

Extending deep learning approaches for forest disturbance segmentation on very high‐resolution satellite images

Dmitriy Kislov, Kirill Korznikov, Jan Altman et al. · Remote Sensing in Ecology and Conservation · 2021 · 74 citations · Full text

Convolutional Neural Network, High Resolution, Engineering +24

Automatic Windthrow Detection Using Very-High-Resolution Satellite Imagery and Deep Learning

Dmitriy Kislov, Kirill Korznikov · Remote Sensing · 2020 · 60 citations · Full text

Artificial Intelligence, Convolutional Neural Network, Engineering +23

Revealing legacy effects of extreme droughts on tree growth of oaks across the Northern Hemisphere

Arun K. Bose, Jiří Doležal, Daniel Scherrer et al. · The Science of The Total Environment · 2024 · 39 citations · Full text

Global impoverishment of natural vegetation revealed by dark diversity

Meelis Pärtel, Riin Tamme, Carlos P. Carmona et al. · Nature · 2025 · 28 citations · Full text