Data assimilation for modeling biophysical variables in Central Chile vineyards
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Date
2022
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Abstract
Given the importance of phenology and evapotranspiration in Mediterranean vineyards, this doctoral thesis aims to answer the question, “How much does a model based on data assimilation with Sentinel-2 improve the goodness of fit of methods that estimate vineyard phenology and evapotranspiration?”. Chapter 2, entitled “Modeling phenology combining Data Assimilation techniques and Bioclimatic Indices in a Cabernet Sauvignon vineyard in Central Chile,” has the objective of evaluating a phenology model based on data assimilation with a phenological weather model and Sentinel-2 land surface phenology. Additionally, Chapter 3, entitled “Evaluation of Penman-Monteith Model Based on Sentinel-2 Data for the Estimation of Actual Evapotranspiration in Vineyards”, evaluates the Penman-Monteith model for remote sensing data based on the Leuning approach and a novel approach that incorporates the Stewart stomatal conductance model, by comparing independent data from an eddy covariance system. Finally, Chapter 4 concludes with the key findings and limitations of the research, and consequently, future research is proposed.
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Tesis (Doctor en Ciencias de la Agricultura)--Pontificia Universidad Católica de Chile, 2022