What question did this study set out to answer?

To assess evapotranspiration partitioning into soil evaporation and plant transpiration in commercial vineyards using high-resolution drone imagery integrated with two-source energy balance modeling.

January 28, 2023Remote SensingOpen Access

ET Partitioning Assessment Using the TSEB Model and sUAS Information across California Central Valley Vineyards

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To assess evapotranspiration partitioning into soil evaporation and plant transpiration in commercial vineyards using high-resolution drone imagery integrated with two-source energy balance modeling.
Coupled high-resolution aerial imagery from small unmanned aerial systems with ground-based flux data from the Grape Remote sensing Atmospheric Profile and Evapotranspiration eXperiment in California vineyards.
Developed the TSEB-2TQ model, integrating a quantile technique separation for temperature partitioning evaluated across three canopy resistance formulations.
Validated modeled plant transpiration against three eddy covariance tower partitioning methods: Modified Relaxed Eddy Accumulation, Flux Variance Similarity, and Conditional Eddy Covariance.
TSEB-2TQ reduced sensible heat flux estimation bias by approximately 61% compared to TSEB-PT and by 35% compared to TSEB-2T.
Transpiration values from the Conditional Eddy Covariance and Modified Relaxed Eddy Accumulation methods were statistically equivalent, while Flux Variance Similarity estimates differed significantly.
TSEB-2TQ exhibited the highest agreement with Conditional Eddy Covariance transpiration measurements, with negligible variation observed across different resistance models.

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Implication

Validation study reveals improved evapotranspiration partitioning via drone imagery and energy balance modeling in vineyards, highlighting enhanced irrigation management.

Cite This Study

Gao et al. (2023) studied this question.

synapsesocial.com/papers/69deb6fc499d77a496b0c8ea https://doi.org/10.3390/rs15030756

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Implication

Validation study reveals improved evapotranspiration partitioning via drone imagery and energy balance modeling in vineyards, highlighting enhanced irrigation management.

ET Partitioning Assessment Using the TSEB Model and sUAS Information across California Central Valley Vineyards

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Discussion

Implication

Cite This Study

ET Partitioning Assessment Using the TSEB Model and sUAS Information across California Central Valley Vineyards

Key Points

Discussion

Implication

Cite This Study

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