Estimating evapotranspiration by using canopy conductance models with Sentinel-2 data in irrigated crops in California and Australia
- 1University of Naples Federico II, Dept. Agricultural Sciences, Portici, Italy
- 2USDA, ARS, Hydrology and Remote Sensing Lab, Beltsville, MD, USA
- 3USDA, ARS, Sustainable Agricultural Water Systems Unit, Davis, CA, USA
- 4University of California, Davis, Department of Land, Air, and Water Resources, Davis, CA
- 5USDA, ARS Crops Pathology and Genetics Lab, Davis, CA, USA
- 6University of California, Davis, Department of Viticulture and Enology, Davis, CA, USA
- 7The University of Melbourne, Department of Infrastructure Engineering, Parkville, Victoria, Australia
- 8USDA-ARS, National Laboratory for Agriculture and the Environment, Ames, IA, USA
- 9University of Oklahoma, Department of Geography and Environmental Sustainability, Norman, OK, USA
- 10Utah State University, Department of Plants Soils and Climate, Logan, UT, USA
- 11E&J GalloWinery, Winegrowing Research, Modesto, CA, USA
- 12Ariespace s.r.l., Spin-off Company of the University of Naples Federico II, Napoli, ITALY
- 13University of Natural Resources and Life Sciences (BOKU), Institute of Geomatics, Vienna, Austria
- 14Politecnico di Bari, Department of Civil, Environmental, Building Engineering and Chemistry, Bari, Italy
Deriving evapotranspiration is crucial for determining the water requirements of crops and for efficiently allocating water resources for irrigation. Various experiments and methods have proven that earth observation (EO) is a useful tool for estimating evapotranspiration and supporting irrigation and water resource management at different scales.
This study presents a framework based on the Penman-Monteith big leaf model and Shuttleworth-Wallace sparse canopy model for estimating the evapotranspiration in irrigated crops with partial and full-canopy conditions.
The approach fully utilizes the high-resolution and multi-spectral capabilities of the Sentinel-2 (S2) sensors for the derivation of surface parameters such as hemispherical shortwave albedo(α), Leaf Area Index (LAI), and the water status of the soil-canopy ensemble by using the OPTRAM model. Proposed by Sadeghi [1], the OPTRAM model uses the pixel distribution in the Shortwave Infrared Transformed Reflectance (STR)-NDVI space, where the water content of the soil-canopy system is linearly correlated to the STR index.
In detail, the proposed approach estimates the contributions of soil and canopy to the total evapotranspiration by incorporating the OPRAM model to assess the water status of the surface and adjust the resistance terms in the combination equation [2]
The results are validated by using Eddy Covariance data collected during the GRAPEX (Grape Remote Sensing Atmospheric Profile Evapotranspiration eXperiment) project [3], T-REX (Tree crop Remote sensing of Evapotranspiration eXperiment) project, and COALA (COpernicus Applications and services for Low impact agriculture in Australia) project [4]. These projects are conducted respectively in irrigated vineyards and almond orchards in California, and in irrigated maize and alfalfa in Australia.
[1] Sadeghi, Morteza, Scott B. Jones, and William D. Philpot.: A linear physically-based model for remote sensing of soil moisture using short wave infrared bands. Remote Sensing of Environment 164, 66-76 (2015).
[2] D’Urso, G., Bolognesi, S. F., Kustas, W. P., Knipper, K. R., Anderson, M. C., Alsina, M. M., ... & Belfiore, O. R.: Determining evapotranspiration by using combination equation models with sentinel-2 data and comparison with thermal-based energy balance in a California irrigated Vineyard. Remote Sensing, 13(18), 3720 (2021).
[3] Kustas, W.P., Anderson, M.C., Alfieri, J.G., Knipper, K., Torres-Rua, A., Parry, C.K., Nieto, H., Agam, N., White, W.A., Gao, F. The grape remote sensing atmospheric profile and evapotranspiration experiment. Bulletin of the American Meteorological Society 2018, 99, 1791-1812.
[4] COALA project. https://www.coalaproject.eu/
How to cite: Belfiore, O. R., Kustas, W. P., D'Urso, G., Knipper, K., Bambach-Ortiz, N., McElrone, A. J., Ryu, D., Castro, S., Prueger, J. H., Bhattarai, N., Alfieri, J. G., Hipps, L. E., Alsina, M. M., De Michele, C., Vuolo, F., and Alali, Q.: Estimating evapotranspiration by using canopy conductance models with Sentinel-2 data in irrigated crops in California and Australia, A European vision for hydrological observations and experimentation, Naples, Italy, 12–15 Jun 2023, GC8-Hydro-58, https://doi.org/10.5194/egusphere-gc8-hydro-58, 2023.
