Development of high performance computing tools for estimation of high-resolution surface energy balance products using sUAS information
- DOI
- 10.1117/12.2587763
- Published
- 2021-04-12
- Container
- Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping VI
- Publisher
- SPIE
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1117/12.2587763,
title = {Development of high performance computing tools for estimation of high-resolution surface energy balance products using sUAS information},
author = {Ayman Nassar and Alfonso F. Torres-Rua and Venkatesh Merwade and Sayan Dey and Lan Zhao and I. Luk Kim and William Kustas and Hector Nieto and Lawrence Hipps and Rui Gao and Joseph Alfieri and John H. Prueger and Maria Mar Alsina and Lynn McKee and Calvin Coopmans and Luis Sanchez and Nick Dokoozlian and Nicolas Orti and Andrew Mcelrone},
year = {2021},
journal = {Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping VI},
doi = {10.1117/12.2587763},
url = {https://doi.org/10.1117/12.2587763}
}RIS
TY - JOUR TI - Development of high performance computing tools for estimation of high-resolution surface energy balance products using sUAS information AU - Ayman Nassar AU - Alfonso F. Torres-Rua AU - Venkatesh Merwade AU - Sayan Dey AU - Lan Zhao AU - I. Luk Kim AU - William Kustas AU - Hector Nieto AU - Lawrence Hipps AU - Rui Gao AU - Joseph Alfieri AU - John H. Prueger AU - Maria Mar Alsina AU - Lynn McKee AU - Calvin Coopmans AU - Luis Sanchez AU - Nick Dokoozlian AU - Nicolas Orti AU - Andrew Mcelrone PY - 2021 JO - Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping VI DO - 10.1117/12.2587763 UR - https://doi.org/10.1117/12.2587763 ER -
APA
Nassar, A., Torres-Rua, A. F., Merwade, V., Dey, S., Zhao, L., Kim, I. L., Kustas, W., Nieto, H., Hipps, L., Gao, R., Alfieri, J., Prueger, J. H., Alsina, M. M., McKee, L., Coopmans, C., Sanchez, L., Dokoozlian, N., Orti, N., & Mcelrone, A. (2021). Development of high performance computing tools for estimation of high-resolution surface energy balance products using sUAS information. Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping VI. https://doi.org/10.1117/12.2587763
Source records
- crossref · retrieved 2026-11-10T20:57:19.748Z