Chen, Y.; McVicar, T.R.; Donohue, R.J.; Garg, N.; Waldner, F.; Ota, N.; Li, L.; Lawes, R.
To Blend or Not to Blend? A Framework for Nationwide Landsat–MODIS Data Selection for Crop Yield Prediction. Remote Sens. 2020, 12, 1653.
https://doi.org/10.3390/rs12101653
AMA Style
Chen Y, McVicar TR, Donohue RJ, Garg N, Waldner F, Ota N, Li L, Lawes R.
To Blend or Not to Blend? A Framework for Nationwide Landsat–MODIS Data Selection for Crop Yield Prediction. Remote Sensing. 2020; 12(10):1653.
https://doi.org/10.3390/rs12101653
Chicago/Turabian Style
Chen, Yang, Tim R. McVicar, Randall J. Donohue, Nikhil Garg, François Waldner, Noboru Ota, Lingtao Li, and Roger Lawes.
2020. "To Blend or Not to Blend? A Framework for Nationwide Landsat–MODIS Data Selection for Crop Yield Prediction" Remote Sensing 12, no. 10: 1653.
https://doi.org/10.3390/rs12101653
APA Style
Chen, Y., McVicar, T. R., Donohue, R. J., Garg, N., Waldner, F., Ota, N., Li, L., & Lawes, R.
(2020). To Blend or Not to Blend? A Framework for Nationwide Landsat–MODIS Data Selection for Crop Yield Prediction. Remote Sensing, 12(10), 1653.
https://doi.org/10.3390/rs12101653