May 27, 2022 · Introducing more remotely sensed vegetation variables beyond NDVI into the PT-JPL model degrades the model performance to varying degrees.
The results show that the vegetation variables derived by RS and empirical methods are quite different. The ecophysiological constraints of the PT-JPL model ...
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May 27, 2022 · We combine the vegetation variables derived from RS and empirical methods into four vegetation input schemes for the PT-JPL model. The model ...
Aug 15, 2021 · Our results suggest that a combination of optical SWIR and microwave SM has good potential to improve the PT-JPL model accuracy for agricultural landscapes.
Different Vegetation Information Inputs Significantly Affect the Evapotranspiration Simulations of the PT-JPL Model. Article. Full-text available. May 2022.
This project is part of NASA/EOS project to estimate global terrestrial evapotranspiration from earth land surface by using satellite remote sensing data.
The PT-JPL model significantly overestimated the ratio of Ei/ET and ... Bai et al. Assessing the Impacts of Vegetation Greenness Change on Evapotranspiration and ...
In arid areas, soil moisture is the main factor to influences ET processes. However, the PT-JPL and MOD16 models used the atmospheric moisture conditions (i.e., ...
Jan 31, 2022 · Changes in ecosystem water use efficiency (WUE) and evapotranspiration (ET) that are driven by vegetation change can be used as metrics to ...
Feb 4, 2023 · The PT-JPL model was applicable in southern Xinjiang; thus, this model could be used to divide ET into soil evaporation, vegetation ...