מאמרים עם הרשאות לגישה ציבורית - Milan Kilibardaלמידע נוסף
לא זמין באתר כלשהו: 1
Sparse regression interaction models for spatial prediction of soil properties in 3D
M Pejović, M Nikolić, GBM Heuvelink, T Hengl, M Kilibarda, B Bajat
Computers & Geosciences 118, 1-13, 2018
הרשאות: Ministry of Education, Science and Technological Development of the Republic …
זמינים באתר כלשהו: 11
Random forest spatial interpolation
A Sekulić, M Kilibarda, GBM Heuvelink, M Nikolić, B Bajat
Remote Sensing 12 (10), 1687, 2020
הרשאות: European Commission, Ministry of Education, Science and Technological …
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
הרשאות: Bill & Melinda Gates Foundation, UK Biotechnology and Biological Sciences …
Spatio-temporal regression kriging model of mean daily temperature for Croatia
A Sekulić, M Kilibarda, D Protić, MP Tadić, B Bajat
Theoretical and applied climatology 140 (1), 101-114, 2020
הרשאות: European Commission, Ministry of Education, Science and Technological …
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
הרשאות: European Commission, Ministry of Education, Science and Technological …
A high-resolution daily gridded meteorological dataset for Serbia made by Random Forest Spatial Interpolation
A Sekulić, M Kilibarda, D Protić, B Bajat
Scientific Data 8 (1), 123, 2021
הרשאות: European Commission, Ministry of Education, Science and Technological …
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
הרשאות: European Commission, Ministry of Education, Science and Technological …
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
הרשאות: US National Aeronautics and Space Administration
Interseasonal transfer learning for crop mapping using Sentinel-1 data
M Pandžić, D Pavlović, P Matavulj, S Brdar, O Marko, V Crnojević, ...
International Journal of Applied Earth Observation and Geoinformation 128 …, 2024
הרשאות: European Commission
An integrated service-based solution addressing the modernised common agriculture policy regulations and environmental perspectives
A Karagiannopoulou, C Tsiakos, G Tsimiklis, A Tsertou, A Amditis, ...
Remote Sensing for Agriculture, Ecosystems, and Hydrology XXII 11528, 79-98, 2020
הרשאות: European Commission
AI in Agriculture
M Kovačević, P Bursać, B Bajat, M Kilibarda
1st Serbian International Conference on Applied Artificial Intelligence …, 2022
הרשאות: Ministry of Education, Science and Technological Development of the Republic …
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
הרשאות: European Commission
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