SPATIO-TEMPORAL ASSOCIATION OF CLIMATE VARIABLES AND REFERENCE EVAPOTRANSPIRATION ESTIMATES USING SATELLITE IMAGERY FOR SOUTHERN BRAZIL
DOI:
https://doi.org/10.14393/RCG2610374698Keywords:
Modeling, Air temperature, Relative humidity, Water relations, Remote dataAbstract
Accurate and simplified estimates of reference evapotranspiration (ETo) are needed to improve the rational use of water in the soil-plant-atmosphere continuum. Here we proposed, tested, and evaluated a methodology to estimate the spatialized reference evapotranspiration (ETo), based on the association between satellite images and climatic data measured in the meteorological stations. Landsat 8 and Aqua MODIS satellite images covering the Tibagi River basin (TRB), Southern Brazil, were used to estimate the surface temperature (Ts) and total precipitable water (Wp), respectively. Ts and Wp were associated with the average values of air temperature (TmEM) and relative humidity (RHmEM), in simple and multiple linear regressions. The calibration was performed by estimating the average temperature (TeSR) and relative humidity (RHeSR) of the air by remote sensing. The ETo estimated with alternative models and satellite imagery data (TeSR and RHeSR) was compared with the standard ETo calculated with the ASCE Penman-Monteith method. The multiple linear model presented a significant good performance to estimate TeSR(Wp;Ts) (r = 0.87) and RHeSR(Wp;Ts) (r = 0.41). EToMJS(Ra;ψair) (r = 0.67) and EToC (r = 0.63), estimated with the Moretti-Jerszurki-Silva and Camargo models, respectively, achieved better performance in estimating ETo when using satellite imagery.
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Copyright (c) 2025 Jorge Luiz Moretti de Souza, Denis Pinheiro da Silva, Daniela Jerszurki, Stefanie Lais Kreutz Rosa
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