2021
DOI: 10.1016/j.ejrs.2020.08.004
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Evaluation of the MOD16A2 evapotranspiration product in an agricultural area of Argentina, the Pampas region

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Cited by 23 publications
(21 citation statements)
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“…This is the case of the ECOSTRESS ALEXI/JPL ET [212,213], or the EUropean Organisation for the Exploitation of METeorological SATellites (EUMETSAT) Satellite Application Facility on Land Surface Analysis (LSA-SAF), ET product from Meteosat Second Generation (MSG) [214]. The comparison of these operational ET products with 15 eddy covariance flux towers located in Europe showed the good performance of the EUMETSAT over the MODIS ET [208,[215][216][217] products [194].…”
Section: Operational Et Productsmentioning
confidence: 99%
“…This is the case of the ECOSTRESS ALEXI/JPL ET [212,213], or the EUropean Organisation for the Exploitation of METeorological SATellites (EUMETSAT) Satellite Application Facility on Land Surface Analysis (LSA-SAF), ET product from Meteosat Second Generation (MSG) [214]. The comparison of these operational ET products with 15 eddy covariance flux towers located in Europe showed the good performance of the EUMETSAT over the MODIS ET [208,[215][216][217] products [194].…”
Section: Operational Et Productsmentioning
confidence: 99%
“…Some SURP data showed negative values, which may be due to the sensitivity of satellite data. Although CHIRPS estimates show a marked agreement, being quite similar to the information from weather stations in Brazil (Costa et al, 2019;Santos et al, 2019), for instance, MOD16 evapotranspiration data, in turn, show significant overestimation or underestimation compared to ET data measured in situ (Ramoelo et al, 2014;Tang et al, 2015;Degano et al, 2021).…”
Section: Water Surplusmentioning
confidence: 56%
“…The objective of the product is to push the former results of the point scale to the global scale and estimate while considering multi-sourced conditions. Some issues in the practical application stage reflect that the quality and availability of the new entrants become factors that affect the data applicability or even bring counterproductive results [39][40][41]. Therefore, it is vital to validate whether the improvement exists.…”
Section: Correlation Analysis Between Pet Simulation Results and Meas...mentioning
confidence: 99%