Implications of soil and canopy temperature uncertainty in the estimation of surface energy fluxes using TSEB2T and high-resolution imagery in commercial vineyards
- DOI
- 10.1117/12.2558715
- Published
- 2020-05-26
- Container
- Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping V
- Publisher
- SPIE
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1117/12.2558715,
title = {Implications of soil and canopy temperature uncertainty in the estimation of surface energy fluxes using TSEB2T and high-resolution imagery in commercial vineyards},
author = {Ayman Nassar and Alfonso F. Torres-Rua and William P. Kustas and Hector Nieto and Mac McKee and Lawrence E. Hipps and Joseph G. Alfieri and John H. Prueger and Maria M. Alsina and Lynn G. McKee and Calvin Coopmans and Luis Sanchez and Nick Dokoozlian},
year = {2020},
journal = {Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping V},
doi = {10.1117/12.2558715},
url = {https://doi.org/10.1117/12.2558715}
}RIS
TY - JOUR TI - Implications of soil and canopy temperature uncertainty in the estimation of surface energy fluxes using TSEB2T and high-resolution imagery in commercial vineyards AU - Ayman Nassar AU - Alfonso F. Torres-Rua AU - William P. Kustas AU - Hector Nieto AU - Mac McKee AU - Lawrence E. Hipps AU - Joseph G. Alfieri AU - John H. Prueger AU - Maria M. Alsina AU - Lynn G. McKee AU - Calvin Coopmans AU - Luis Sanchez AU - Nick Dokoozlian PY - 2020 JO - Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping V DO - 10.1117/12.2558715 UR - https://doi.org/10.1117/12.2558715 ER -
APA
Nassar, A., Torres-Rua, A. F., Kustas, W. P., Nieto, H., McKee, M., Hipps, L. E., Alfieri, J. G., Prueger, J. H., Alsina, M. M., McKee, L. G., Coopmans, C., Sanchez, L., & Dokoozlian, N. (2020). Implications of soil and canopy temperature uncertainty in the estimation of surface energy fluxes using TSEB2T and high-resolution imagery in commercial vineyards. Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping V. https://doi.org/10.1117/12.2558715
Source records
- crossref · retrieved 2026-09-25T12:02:27.487Z