Kumar, U.; Ganguly, S.; Nemani, R.R.; Raja, K.S.; Milesi, C.; Sinha, R.; Michaelis, A.; Votava, P.; Hashimoto, H.; Li, S.;
et al. Exploring Subpixel Learning Algorithms for Estimating Global Land Cover Fractions from Satellite Data Using High Performance Computing. Remote Sens. 2017, 9, 1105.
https://doi.org/10.3390/rs9111105
AMA Style
Kumar U, Ganguly S, Nemani RR, Raja KS, Milesi C, Sinha R, Michaelis A, Votava P, Hashimoto H, Li S,
et al. Exploring Subpixel Learning Algorithms for Estimating Global Land Cover Fractions from Satellite Data Using High Performance Computing. Remote Sensing. 2017; 9(11):1105.
https://doi.org/10.3390/rs9111105
Chicago/Turabian Style
Kumar, Uttam, Sangram Ganguly, Ramakrishna R. Nemani, Kumar S Raja, Cristina Milesi, Ruchita Sinha, Andrew Michaelis, Petr Votava, Hirofumi Hashimoto, Shuang Li,
and et al. 2017. "Exploring Subpixel Learning Algorithms for Estimating Global Land Cover Fractions from Satellite Data Using High Performance Computing" Remote Sensing 9, no. 11: 1105.
https://doi.org/10.3390/rs9111105
APA Style
Kumar, U., Ganguly, S., Nemani, R. R., Raja, K. S., Milesi, C., Sinha, R., Michaelis, A., Votava, P., Hashimoto, H., Li, S., Wang, W., Kalia, S., & Gayaka, S.
(2017). Exploring Subpixel Learning Algorithms for Estimating Global Land Cover Fractions from Satellite Data Using High Performance Computing. Remote Sensing, 9(11), 1105.
https://doi.org/10.3390/rs9111105