Cite
Assimilation of Remotely Sensed Leaf Area Index Enhances the Estimation of Anthropogenic Irrigation Water Use.
MLA
Nie, Wanshu, et al. “Assimilation of Remotely Sensed Leaf Area Index Enhances the Estimation of Anthropogenic Irrigation Water Use.” Journal of Advances in Modeling Earth Systems, vol. 14, no. 11, Nov. 2022, pp. 1–14. EBSCOhost, https://doi.org/10.1029/2022MS003040.
APA
Nie, W., Kumar, S. V., Peters, L. C. D., Zaitchik, B. F., Arsenault, K. R., Bindlish, R., & Liu, P. (2022). Assimilation of Remotely Sensed Leaf Area Index Enhances the Estimation of Anthropogenic Irrigation Water Use. Journal of Advances in Modeling Earth Systems, 14(11), 1–14. https://doi.org/10.1029/2022MS003040
Chicago
Nie, Wanshu, Sujay V. Kumar, Lidard, Christa D. Peters, Benjamin F. Zaitchik, Kristi R. Arsenault, Rajat Bindlish, and Pang‐Wei Liu. 2022. “Assimilation of Remotely Sensed Leaf Area Index Enhances the Estimation of Anthropogenic Irrigation Water Use.” Journal of Advances in Modeling Earth Systems 14 (11): 1–14. doi:10.1029/2022MS003040.