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

نویسندگان

چکیده

Evapotranspiration (ET) is a crucial part of commercial grapevine production in California, and the partitioning this quantity allows separate assessment soil vine water energy fluxes. This has an important role agriculture since it related to stress, yield quality, irrigation efficiency, growth. Satellite remote sensing-based methods provide opportunity for ET at subfield scale. However, medium-resolution satellite imagery from platforms such as Landsat often insufficient precision agricultural management plant Small, unmanned aerial systems (sUAS) AggieAir platform Utah State University enable estimation its over vineyards via two-source balance (TSEB) model. study explores (i.e., evaporation transpiration), considering three different resistance models using ground-based information high-resolution Grape Remote sensing Atmospheric Profile eXperiment (GRAPEX). We developed new method temperature that incorporated quantile technique separation (QTS) sUAS information. method, coupled with TSEB model (called TSEB-2TQ), improved sensible heat flux (H) estimation, regarding bias, around 61% 35% compared H TSEB-PT TSEB-2T, respectively. Comparisons among estimates (Modified Relaxed Eddy Accumulation—MREA; Flux Variance Similarity—FVS; Conditional Covariance—CEC) based on EC tower data show transpiration obtained FVS are statistically MREA CEC methods, but same. By compare modeled by models, TSEB-2TQ shows better agreement method. Additionally, resulted insignificant differences. comparison one first evaluating eddy covariance-based methods.

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ژورنال

عنوان ژورنال: Remote Sensing

سال: 2023

ISSN: ['2315-4632', '2315-4675']

DOI: https://doi.org/10.3390/rs15030756