Liu, Y.; Shi, Z.; Zhang, G.; Chen, Y.; Li, S.; Hong, Y.; Shi, T.; Wang, J.; Liu, Y.
Application of Spectrally Derived Soil Type as Ancillary Data to Improve the Estimation of Soil Organic Carbon by Using the Chinese Soil Vis-NIR Spectral Library. Remote Sens. 2018, 10, 1747.
https://doi.org/10.3390/rs10111747
AMA Style
Liu Y, Shi Z, Zhang G, Chen Y, Li S, Hong Y, Shi T, Wang J, Liu Y.
Application of Spectrally Derived Soil Type as Ancillary Data to Improve the Estimation of Soil Organic Carbon by Using the Chinese Soil Vis-NIR Spectral Library. Remote Sensing. 2018; 10(11):1747.
https://doi.org/10.3390/rs10111747
Chicago/Turabian Style
Liu, Yi, Zhou Shi, Ganlin Zhang, Yiyun Chen, Shuo Li, Yongshen Hong, Tiezhu Shi, Junjie Wang, and Yaolin Liu.
2018. "Application of Spectrally Derived Soil Type as Ancillary Data to Improve the Estimation of Soil Organic Carbon by Using the Chinese Soil Vis-NIR Spectral Library" Remote Sensing 10, no. 11: 1747.
https://doi.org/10.3390/rs10111747
APA Style
Liu, Y., Shi, Z., Zhang, G., Chen, Y., Li, S., Hong, Y., Shi, T., Wang, J., & Liu, Y.
(2018). Application of Spectrally Derived Soil Type as Ancillary Data to Improve the Estimation of Soil Organic Carbon by Using the Chinese Soil Vis-NIR Spectral Library. Remote Sensing, 10(11), 1747.
https://doi.org/10.3390/rs10111747