Підписатись
Viacheslav Komisarenko
Viacheslav Komisarenko
PhD student, University of Tartu
Підтверджена електронна адреса в ut.ee
Назва
Посилання
Посилання
Рік
A comparison of three trapezoid models using optical and thermal satellite imagery for water table depth monitoring in Estonian bogs
I Burdun, M Bechtold, V Sagris, V Komisarenko, G De Lannoy, Ü Mander
Remote Sensing 12 (12), 1980, 2020
252020
Exploiting time series of Sentinel-1 and Sentinel-2 to detect grassland mowing events using deep learning with reject region
V Komisarenko, K Voormansik, R Elshawi, S Sakr
Scientific Reports 12 (1), 983, 2022
202022
Using vision systems for determining the parameters of relative motion of spacecrafts
VF Gubarev, VP Boyun, SV Melnichuk, NN Salnikov, VA Simakov, ...
Journal of Automation and Information Sciences 48 (11), 2016
102016
Correlated daily time series and forecasting in the M4 competition
A Ingel, N Shahroudi, M Kängsepp, A Tättar, V Komisarenko, M Kull
International Journal of Forecasting 36 (1), 121-128, 2020
82020
Hidden becomes clear: Optical remote sensing of vegetation reveals water table dynamics in northern peatlands
I Burdun, M Bechtold, M Aurela, G De Lannoy, AR Desai, E Humphreys, ...
Remote Sensing of Environment 296, 113736, 2023
62023
Water table depth dynamics derived from optical remote sensing data in northern peatlands
I Burdun, M Bechtold, V Komisarenko, A Lohila, E Humphreys, AR Desai, ...
EGU General Assembly Conference Abstracts, EGU22-11300, 2022
12022
Temporal water table dynamics derived from optical satellite data
I Burdun, M Bechtold, M Aurela, G De Lannoy, AR Desai, E Humphreys, ...
EGU General Assembly Conference Abstracts, EGU-4279, 2023
2023
Monitoring of water table dynamics in peatlands with OPTRAM: Towards globally applicable algorithms in Google Earth Engine using Landsat and Sentinel-2
I Burdun, M Bechtold, V Komisarenko, A Lohila, E Humphreys, AR Desai, ...
EGU General Assembly Conference Abstracts, EGU21-4698, 2021
2021
Farming events detection from Sentinel-1 and-2 satellite imagery time series with deep learning
V Komisarenko
University of Tartu, 2019
2019
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