Ĭlapp RB, Hornberger GM (1978) Empirical equations for some soil hydraulic properties. Ĭhen F, Crow WT, Ryu D (2014) Dual forcing and state correction via soil moisture assimilation for improved rainfall-runoff modeling. Springer-Verlag, New York, p 286Ĭhan SK, Bindlish R, O’Neill P et al (2018) Development and assessment of the SMAP enhanced passive soil moisture product. Hydrol Earth Syst Sci 18:1885–1894Ĭampbell GS, Norman JM (1998) An introduction to environmental geophysics. Ĭammalleri C, Anderson MC, Kustas WP (2014) Upscaling of evapotranspiration fluxes from instantaneous to daytime scales for thermal remote sensing applications. J Hydrometeorol 5:343–363Īttarzadeh R, Amini J, Notarnicola C, Greifeneder F (2018) Synergetic use of sentinel-1 and sentinel-2 data for soil moisture mapping at plot scale. Remote Sens Env 60:195–216Īnderson MC, Norman JM, Mecikalski JR, Torn RD, Kustas WP, Basara JB (2004) A multiscale remote sensing model for disaggregating regional fluxes to micrometeorological scales. Īnderson MC, Norman JM, Diak GR, Kustas WP, Mecikalski JR (1997) A two-source time integrated model for estimating surface fluxes using thermal infrared remote sensing. Īlfieri JG, Kustas WP, Prueger JH, McKee L, Hipps LE, Gao F (2019) A multi-year intercomparison of micrometeorological observations at adjacent vineyards in California’s Central Valley during GRAPEX. Īl Bitar A, Mialon A, Kerr YH, Cabot F, Richaume P, Jacquette E, Quesney A, Mahmoodi A, Tarot S, Parrens M, Al-Yaari A, Pellarin T, Rodriguez-Fernandez N, Wigneron JP (2017) The global SMOS level 3 daily soil moisture and brightness temperature maps. Agr Water Manag 97(7):956–964Īgam N, Kustas WP, Alfieri JG, Gao F, McKee L, Prueger JH, Hipps LE (2019) Micro-scale spatial variability in soil heat flux (SHF) in a wine-grape vineyard.

Prospects for addressing these limitations and plans for the near-real-time operational application of the VIDA system are discussed.Īcevedo-Opazo C, Ortega-Farias S, Fuentes S (2010) Effects of grapevine ( Vitis vinifera L.) water status on water consumption, vegetative growth and grape quality: an irrigation scheduling application to achieve regulated deficit irrigation. However, results also reveal shortcomings in the ability of VIDA to correct biases in assumed irrigation applications-particularly during well-watered portions of the growing season when TIR-based evapotranspiration observations are not moisture limited and, therefore, decoupled from RZSM. Results demonstrate that VIDA can generally capture daily temporal variations in RZSM for vertical depths of 30–60 cm beneath the vine row, and the assimilation of remote sensing products is shown to produce modest improvement in the temporal accuracy of VIDA RZSM estimates.

The VIDA system is tested retrospectively (2017–2020) for two vineyard sites in the California Central Valley that have been instrumented as part of the Grape Remote sensing Atmospheric Profile and Evapotranspiration eXperiment (GRAPEX). Here, we discuss prospects for addressing these shortcomings using the Vineyard Data Assimilation (VIDA) system based on the assimilation of high-resolution (30-m) soil moisture information obtained from synthetic aperture radar and thermal-infrared (TIR) remote sensing into a one-dimensional soil water balance model. In particular, the operational application of soil water balance modeling is complicated by the difficulty of obtaining accurate irrigation inputs and representing complex sub-surface water-flow processes within vineyards. Efforts to apply gridded root-zone soil moisture (RZSM) products for irrigation decision-support in vineyards are currently hampered by the difficulty of obtaining RZSM products that meet required accuracy, resolution, and data latency requirements.

Svat monitor