Order Article Reprints

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

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

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