| African soil properties and nutrients mapped at 30 m spatial resolution using two-scale ensemble machine learning T Hengl, MAE Miller, J Križan, KD Shepherd, A Sila, M Kilibarda, ... Scientific reports 11 (1), 6130, 2021 | 188 | 2021 |
| A spatiotemporal ensemble machine learning framework for generating land use/land cover time-series maps for Europe (2000–2019) based on LUCAS, CORINE and GLAD Landsat M Witjes, L Parente, CJ van Diemen, T Hengl, M Landa, L Brodský, ... PeerJ 10, e13573, 2022 | 23 | 2022 |
| African soil properties and nutrients mapped at 30m spatial resolution using two-scale ensemble machine learning, Sci. Rep., 11, 6130 T Hengl, MAE Miller, J Križan, KD Shepherd, A Sila, M Kilibarda, ... | 13 | 2021 |
| Transfer learning approach based on satellite image time series for the crop classification problem O Antonijević, S Jelić, B Bajat, M Kilibarda Journal of Big Data 10 (1), 54, 2023 | 9 | 2023 |
| Space-time high-resolution data of the potential insolation and solar duration for Montenegro B Bajat, O Antonijević, M Kilibarda, A Sekulić, J Luković, D Doljak, D Burić Spatium, 2020 | 4 | 2020 |
| Rasdaman as a platform for serving space-time raster data OS Antonijević Tehnika 74 (2), 198-202, 2019 | | 2019 |
| Prediction of position errors of points in first order trigonometric network S Miljković, O Antonijević, M Kilibarda Zbornik radova 6. međunarodne konferencije Savremena dostignuća u …, 2018 | | 2018 |
| Sensitivity of vegetation indices derived from Sentinel-2 data to change in biophysical characteristics D Protić, S Milutinović, O Antonijević, A Sekulić, M Kilibarda Proceedings of GeoMLA, Geostatistics and Machine Learning, Application in …, 2016 | | 2016 |
