Assimilation of Remotely Sensed Leaf Area Index Enhances the Estimation of Anthropogenic Irrigation Water Use.
- DOI
- 10.1029/2022ms003040
- Published
- 2022 Nov
- Container
- Journal of advances in modeling earth systems
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1029/2022ms003040,
title = {Assimilation of Remotely Sensed Leaf Area Index Enhances the Estimation of Anthropogenic Irrigation Water Use.},
author = {Nie W and Kumar SV and Peters-Lidard CD and Zaitchik BF and Arsenault KR and Bindlish R and Liu PW},
year = {2022},
journal = {Journal of advances in modeling earth systems},
doi = {10.1029/2022ms003040},
url = {https://doi.org/10.1029/2022ms003040}
}RIS
TY - JOUR TI - Assimilation of Remotely Sensed Leaf Area Index Enhances the Estimation of Anthropogenic Irrigation Water Use. AU - Nie W AU - Kumar SV AU - Peters-Lidard CD AU - Zaitchik BF AU - Arsenault KR AU - Bindlish R AU - Liu PW PY - 2022 JO - Journal of advances in modeling earth systems DO - 10.1029/2022ms003040 UR - https://doi.org/10.1029/2022ms003040 ER -
APA
W, N., SV, K., CD, P., BF, Z., KR, A., R, B., & PW, L. (2022). Assimilation of Remotely Sensed Leaf Area Index Enhances the Estimation of Anthropogenic Irrigation Water Use.. Journal of advances in modeling earth systems. https://doi.org/10.1029/2022ms003040
Source records
- pubmed · retrieved 2026-09-25T15:40:46.489Z