Schulthess, U.; Rodrigues, F.; Taymans, M.; Bellemans, N.; Bontemps, S.; Ortiz-Monasterio, I.; Gérard, B.; Defourny, P.
Optimal Sample Size and Composition for Crop Classification with Sen2-Agri’s Random Forest Classifier. Remote Sens. 2023, 15, 608.
https://doi.org/10.3390/rs15030608
AMA Style
Schulthess U, Rodrigues F, Taymans M, Bellemans N, Bontemps S, Ortiz-Monasterio I, Gérard B, Defourny P.
Optimal Sample Size and Composition for Crop Classification with Sen2-Agri’s Random Forest Classifier. Remote Sensing. 2023; 15(3):608.
https://doi.org/10.3390/rs15030608
Chicago/Turabian Style
Schulthess, Urs, Francelino Rodrigues, Matthieu Taymans, Nicolas Bellemans, Sophie Bontemps, Ivan Ortiz-Monasterio, Bruno Gérard, and Pierre Defourny.
2023. "Optimal Sample Size and Composition for Crop Classification with Sen2-Agri’s Random Forest Classifier" Remote Sensing 15, no. 3: 608.
https://doi.org/10.3390/rs15030608
APA Style
Schulthess, U., Rodrigues, F., Taymans, M., Bellemans, N., Bontemps, S., Ortiz-Monasterio, I., Gérard, B., & Defourny, P.
(2023). Optimal Sample Size and Composition for Crop Classification with Sen2-Agri’s Random Forest Classifier. Remote Sensing, 15(3), 608.
https://doi.org/10.3390/rs15030608