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Nieto H, Kustas WP, Torres-Rúa A, et al. Evaluation of TSEB turbulent fluxes using different methods for the retrieval of soil and canopy component temperatures from UAV thermal and multispectral imagery. Irrig Sci. 2019;37(3):389-406doi: 10.1007/s00271-018-0585-9.
Nieto, H., Kustas, W. P., Torres-Rúa, A., Alfieri, J. G., Gao, F., Anderson, M. C., White, W. A., Song, L., Del Mar Alsina, M., Prueger, J. H., McKee, M., Elarab, M., & McKee, L. G. (2019). Evaluation of TSEB turbulent fluxes using different methods for the retrieval of soil and canopy component temperatures from UAV thermal and multispectral imagery. Irrigation science, 37(3), 389-406. https://doi.org/10.1007/s00271-018-0585-9
Nieto, Héctor, et al. "Evaluation of TSEB turbulent fluxes using different methods for the retrieval of soil and canopy component temperatures from UAV thermal and multispectral imagery." Irrigation science vol. 37,3 (2019): 389-406. doi: https://doi.org/10.1007/s00271-018-0585-9
Nieto H, Kustas WP, Torres-Rúa A, Alfieri JG, Gao F, Anderson MC, White WA, Song L, Del Mar Alsina M, Prueger JH, McKee M, Elarab M, McKee LG. Evaluation of TSEB turbulent fluxes using different methods for the retrieval of soil and canopy component temperatures from UAV thermal and multispectral imagery. Irrig Sci. 2019;37(3):389-406. doi: 10.1007/s00271-018-0585-9. PMID: 32355404; PMCID: PMC7192002.
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Irrig Sci. 2019;37(3):389-406. doi: 10.1007/s00271-018-0585-9.

Evaluation of TSEB turbulent fluxes using different methods for the retrieval of soil and canopy component temperatures from UAV thermal and multispectral imagery.

Irrigation science

Héctor Nieto, William P Kustas, Alfonso Torres-Rúa, Joseph G Alfieri, Feng Gao, Martha C Anderson, W Alex White, Lisheng Song, María Del Mar Alsina, John H Prueger, Mac McKee, Manal Elarab, Lynn G McKee

Affiliations

  1. IRTA, Institute of Agriculture and Food Research and Technology, Lleida, Spain.
  2. Hydrology and Remote Sensing Lab, USDA-Agricultural Research Service, Beltsville, MD, USA.
  3. Department of Civil and Environmental Engineering, Utah State University, Logan, UT, USA.
  4. Chongqing Engineering Research Center for Remote Sensing Big Data Application, School of Geographical Sciences, Southwest University, Chongqing, China.
  5. E&J Gallo Winery, Modesto, CA, USA.
  6. National Laboratory for Agriculture and the Environment, USDA-Agricultural Research Service, Ames, IA, USA.
  7. Utah Water Research Laboratory, Utah State University, Logan, UT, USA.
  8. Manal Elarab, Micasense, WA, USA.

PMID: 32355404 PMCID: PMC7192002 DOI: 10.1007/s00271-018-0585-9

Abstract

The thermal-based Two-Source Energy Balance (TSEB) model partitions the evapotranspiration (ET) and energy fluxes from vegetation and soil components providing the capability for estimating soil evaporation (E) and canopy transpiration (T). However, it is crucial for ET partitioning to retrieve reliable estimates of canopy and soil temperatures and net radiation, as the latter determines the available energy for water and heat exchange from soil and canopy sources. These two factors become especially relevant in row crops with wide spacing and strongly clumped vegetation such as vineyards and orchards. To better understand these effects, very high spatial resolution remote-sensing data from an unmanned aerial vehicle were collected over vineyards in California, as part of the Grape Remote sensing and Atmospheric Profile and Evapotranspiration eXperiment and used in four different TSEB approaches to estimate the component soil and canopy temperatures, and ET partitioning between soil and canopy. Two approaches rely on the use of composite

References

  1. Sensors (Basel). 2017 Jun 26;17(7): - PubMed
  2. Irrig Sci. 2018;1:1-23 - PubMed

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