| 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 | 33 | 2020 |
| 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 | 30 | 2022 |
| 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 | 13 | 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 | 10 | 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 | 2 | 2024 |
| Advances in region-based multisource machine learning for remote sensing M Luotamo Series Publ, 2023 | 1 | 2023 |
| 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, 2018 | | 2018 |
Arto KlamiAssociate Professor, University of HelsinkiVerified email at cs.helsinki.fi
Sari MetsämäkiSenior Research Scientist, Finnish Envronment Institute (SYKE)Verified email at ymparisto.fi
