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Optimal Sample Size and Composition for Crop Classification..:
Schulthess, Urs
;
Rodrigues, Francelino
;
Taymans, Matthieu
...
boreal:275240. , 2023
Link:
http://hdl.handle.net/2078.1/275240
RT Journal T1
Optimal Sample Size and Composition for Crop Classification with Sen2-Agri's Random Forest Classifier
UL https://suche.suub.uni-bremen.de/peid=base-ftunistlouisbrus:oai:dial.uclouvain.be:boreal:275240&Exemplar=1&LAN=DE A1 Schulthess, Urs A1 Rodrigues, Francelino A1 Taymans, Matthieu A1 Bellemans, Nicolas A1 Bontemps, Sophie A1 Ortiz-Monasterio, Ivan A1 Gérard, Bruno A1 Defourny, Pierre PB MDPI AG YR 2023 K1 General Earth and Planetary Sciences K1 crop classification K1 random forest K1 machine learning K1 sample size K1 agriculture K1 remote sensing JF boreal:275240 LK http://hdl.handle.net/2078.1/275240 DO http://hdl.handle.net/2078.1/275240 SF ELIB - SuUB Bremen
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