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2021 | 2 |
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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.
PeerJ. 2022 Jul 21;10:e13573. doi: 10.7717/peerj.13573. eCollection 2022.
PeerJ. 2022.
PMID: 35891647
Free PMC article.
SoilGrids250m: Global gridded soil information based on machine learning.
Hengl T, Mendes de Jesus J, Heuvelink GB, Ruiperez Gonzalez M, Kilibarda M, Blagotić A, Shangguan W, Wright MN, Geng X, Bauer-Marschallinger B, Guevara MA, Vargas R, MacMillan RA, Batjes NH, Leenaars JG, Ribeiro E, Wheeler I, Mantel S, Kempen B.
Hengl T, et al. Among authors: kilibarda m.
PLoS One. 2017 Feb 16;12(2):e0169748. doi: 10.1371/journal.pone.0169748. eCollection 2017.
PLoS One. 2017.
PMID: 28207752
Free PMC article.
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African soil properties and nutrients mapped at 30 m spatial resolution using two-scale ensemble machine learning.
Hengl T, Miller MAE, Križan J, Shepherd KD, Sila A, Kilibarda M, Antonijević O, Glušica L, Dobermann A, Haefele SM, McGrath SP, Acquah GE, Collinson J, Parente L, Sheykhmousa M, Saito K, Johnson JM, Chamberlin J, Silatsa FBT, Yemefack M, Wendt J, MacMillan RA, Wheeler I, Crouch J.
Hengl T, et al. Among authors: kilibarda m.
Sci Rep. 2021 Mar 17;11(1):6130. doi: 10.1038/s41598-021-85639-y.
Sci Rep. 2021.
PMID: 33731749
Free PMC article.
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A high-resolution daily gridded meteorological dataset for Serbia made by Random Forest Spatial Interpolation.
Sekulić A, Kilibarda M, Protić D, Bajat B.
Sekulić A, et al. Among authors: kilibarda m.
Sci Data. 2021 Apr 30;8(1):123. doi: 10.1038/s41597-021-00901-2.
Sci Data. 2021.
PMID: 33931656
Free PMC article.
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