Improved estimation of leaf chlorophyll content of row crops from canopy reflectance spectra through minimizing canopy structural effects and optimizing off-noon observation time.

MLA

Li, Dong, et al. “Improved Estimation of Leaf Chlorophyll Content of Row Crops from Canopy Reflectance Spectra through Minimizing Canopy Structural Effects and Optimizing Off-Noon Observation Time.” Remote Sensing of Environment, vol. 248, Oct. 2020, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.rse.2020.111985.

APA

Li, D., Chen, J. M., Zhang, X., Yan, Y., Zhu, J., Zheng, H., Zhou, K., Yao, X., Tian, Y., Zhu, Y., Cheng, T., & Cao, W. (2020). Improved estimation of leaf chlorophyll content of row crops from canopy reflectance spectra through minimizing canopy structural effects and optimizing off-noon observation time. Remote Sensing of Environment, 248, N.PAG. https://doi.org/10.1016/j.rse.2020.111985

Chicago

Li, Dong, Jing M. Chen, Xiao Zhang, Yan Yan, Jie Zhu, Hengbiao Zheng, Kai Zhou, et al. 2020. “Improved Estimation of Leaf Chlorophyll Content of Row Crops from Canopy Reflectance Spectra through Minimizing Canopy Structural Effects and Optimizing Off-Noon Observation Time.” Remote Sensing of Environment 248 (October): N.PAG. doi:10.1016/j.rse.2020.111985.