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 | 25 | 2020 |
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 | 20 | 2022 |
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 | 10 | 2016 |
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 | 8 | 2020 |
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 | 6 | 2023 |
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 | 1 | 2022 |
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 |