| Scalable crop yield prediction with Sentinel-2 time series and temporal convolutional network M Yli-Heikkilä, S Wittke, M Luotamo, E Puttonen, M Sulkava, P Pellikka, ... Remote Sensing 14 (17), 4193, 2022 | 41 | 2022 |
| Multi-scale Cloud Detection in Remote Sensing Images using a Dual Convolutional Neural Network M Luotamo, S Metsämäki, A Klami IEEE Transactions on Geoscience and Remote Sensing, 2020 | 39 | 2020 |
| Tropical altitudinal gradient soil organic carbon and nitrogen estimation using Specim IQ portable imaging spectrometer P Pellikka, M Luotamo, N Sädekoski, J Hietanen, I Vuorinne, M Räsänen, ... Science of the Total Environment 883, 163677, 2023 | 21 | 2023 |
| Density Estimates as Representations of Agricultural Fields for Remote Sensing-Based Monitoring of Tillage and Vegetation Cover M Luotamo, YH Maria, K Arto Applied Sciences, 19, 2022 | 14 | 2022 |
| Comparison of field and imaging spectroscopy to optimize soil organic carbon and nitrogen estimation in field laboratory conditions A Mahmud, M Luotamo, K Karhu, P Pellikka, J Tuure, J Heiskanen Catena 243, 108180, 2024 | 7 | 2024 |
| Advances in region-based multisource machine learning for remote sensing M Luotamo Series Publ, 2023 | 3 | 2023 |
| Tillage and biomass detection for estimating winter-time cropland management practices with satellite remote sensing M Yli-Heikkilä, A Klami, S Wittke, M Luotamo, P Mero, P Pellikka, ... European Journal of Remote Sensing 58 (1), 2525967, 2025 | | 2025 |
| Earth observation for assessing the impact of land use change on climate, ecosystem services and climate smart agropastoralism Taita Hills, Kenya P Pellikka, J Heiskanen, K Belachew, E Maeda, T Abera, SA Wachiye, ... | | 2024 |
| Soil Organic Carbon Estimation Using VNIR–SWIR Spectroscopy And Machine Learning A Mahmud, MIJ Luotamo, K Karhu, P Pellikka, J Tuure, J Heiskanen 13th EARSeL Workshop on Imaging Spectroscopy 2024, 2024 | | 2024 |
Arto KlamiProfessor, University of HelsinkiVerified email at helsinki.fi
