Assessing evapotranspiration in a lettuce crop with a two-source energy balance model

Dhungel, Ramesh; Anderson, Ray G.; French, Andrew N.; Saber, Mazin N.; Sanchez, C. A.; Scudiero, Elia

doi:10.1007/s00271-022-00814-x

Cited by 6 publications

(4 citation statements)

References 55 publications

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“…Earlier study discussed that one of the primary controls on ET was solar radiation and air temperature where ET decreased toward the winter solstice and increased afterward into the new calendar year (Dhungel et al 2022). During that period, vegetation indices were generally increasing creating phase differences with solar and air temperature.…”

Section: Discussionmentioning

confidence: 99%

“…Previously, detailed evaluations of ET estimated with BAITSSS were conducted using eddy covariance (EC) data from 12 lettuce fields in the Lower Colorado River Basin (Dhungel et al 2022), and using lysimeter ET data for corn and sorghum fields in Bushland, Texas (Dhungel et al 2021). Both studies used the applied irrigation data as a model input, and the predicted ET closely agreed with both lysimeter and EC.…”

Section: Introductionmentioning

confidence: 97%

“…Further details of EC data and processing can be found in French et al (in. prep) and Dhungel et al (2022).…”

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confidence: 99%

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Remote sensing-based energy balance for lettuce in an arid environment: influence of management scenarios on irrigation and evapotranspiration modeling

et al. 2023

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Efficient irrigation is critical for managing scarce water resources where precipitation is minimal. Field-scale irrigation is largely unaccounted for in landscape evapotranspiration models, primarily due to the unavailability of data and the lack of water balance components in energy balance-based evapotranspiration models. To overcome these challenges, we implemented a remote sensing-based energy and water balance model BAITSSS (Backward-Averaged Iterative Two-Source Surface temperature Solution) to calculate evapotranspiration (ET) and irrigation requirements of winter lettuce in the arid environment of the Lower Colorado River Basin. Predicted evapotranspiration and irrigation were compared against data from twelve eddy covariance (EC) sites for wide range of soil hydraulic properties operating between 2016 and 2020 and the applied irrigation, respectively. BAITSSS estimated evapotranspiration and irrigation based on vegetative formation, weather demand, soil hydraulic characteristics, and predefined management allowed depletion (MAD) (0.4-0.6). Ground-based weather data, Sentinel-2-based vegetation indices, and SSURGO (NRCS soil survey database) soil moisture characteristics were model inputs. The results showed mean seasonal ET from BAITSSS and EC were comparable, differing on average by about 7% based on a constant rooting depth (500 mm) and MAD of 0.5 for entire crop growth stages. Variations in daily and seasonal ET were mainly due to differences in applied and model-simulated irrigation. Seasonal values of applied and simulated irrigation closely agreed (~ 6%) in most sites, though some sites applied irrigation more effectively than others. Overall, this study provided insight into consumptive water use and field-scale irrigation practices, as well as the capabilities and limitations of model-simulated ET and irrigation.

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confidence: 99%

Section: Introductionmentioning

confidence: 97%

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Remote sensing-based energy balance for lettuce in an arid environment: influence of management scenarios on irrigation and evapotranspiration modeling

et al. 2023

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“…Subsequent processing used EddyPro V.7.0.8 software (LI-COR Biosciences, Lincoln, NE, USA) in Express Mode to compute 30minute uxes sourced from the original 20 Hz time series les(Fratini and Mauder, 2014). Results from this processing updates values previously reported inDhungel et al (2023). Changes in energy storage within the soil mass above the two heat ux plates were computed using logged soil temperature and volumetric water content.…”

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Lettuce evapotranspiration and crop coefficients using eddy covariance and remote sensing observations

French,

Sanchez,

Hunsaker

et al. 2023

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Lettuce (Lactuca sativa L.) is a high-value crop for irrigation districts in the low deserts of the USA Southwest. To ensure maximal crop quality, negligible soil salinity stress, minimal nutrient loss and reduced pathogen susceptibility, lettuce irrigation must meet, but not exceed, crop water use requirements. Lettuce crop water use information is outdated in this region: prior studies were conducted at least four decades ago (1960–1980) and do not represent current varieties, management practices, and climate. To address this shortcoming, we studied 12 commercial sites in Yuma, Arizona, USA between 2016 and 2020 to update lettuce water use requirements and crop coefficients. The study measured crop evapotranspiration (ETc) using eddy covariance observations at 8 iceberg and 4 romaine sites, where planting dates varied throughout the fall. Observed ETc and remote sensing data were used to model the daily soil water balance and derive crop coefficients: single (Kc), basal (Kcb), and soil evaporation (Ke). The analysis was supported by lettuce crop height estimates and fractional vegetative cover (fc) via remote sensing. Days to maturity averaged 75 ± 15 and 89 ± 12 days for romaine and iceberg, respectively. Seasonal lettuce ETc averaged 278 ± 24 mm and cumulative irrigation applied averaged 340 ± 78 mm. Lettuce Kc for sites varied from 0.90 ± 0.13 to 1.19 ± 0.11 and Kcb from 0.20 ± 0.05 to 1.01 ± 0.11 for the initial and mid-season growth stages, respectively. Average days to maturity were 1134 and 810 C-days for growing and enhanced degree day metrics. The study updates information that can guide more efficient lettuce irrigation management.

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Early season irrigation detection and evapotranspiration modeling of winter vegetables based on Planet satellite using water and energy balance algorithm in lower Colorado basin

et al. 2023

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Assessing evapotranspiration in a lettuce crop with a two-source energy balance model

Cited by 6 publications

References 55 publications

Remote sensing-based energy balance for lettuce in an arid environment: influence of management scenarios on irrigation and evapotranspiration modeling

Remote sensing-based energy balance for lettuce in an arid environment: influence of management scenarios on irrigation and evapotranspiration modeling

Lettuce evapotranspiration and crop coefficients using eddy covariance and remote sensing observations

Early season irrigation detection and evapotranspiration modeling of winter vegetables based on Planet satellite using water and energy balance algorithm in lower Colorado basin

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