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Author | Methodology | Time and region | Result |
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Merlin et al., [49] | Based on the relationship between soil evaporative efficiency and soil moisture | NAFE 2006 (Oct-Nov), Yanco, Southeastern Australia | Mean correlation slope between simulated and measured data is 0.94, the most accuracy with an error of 0.012 |
Piles et al., [50] | Build model between LST, NDVI, and soil moisture | Jan-Feb 2010, Murrumbidgee catchment, Yanco, Southeastern Australia | is between 0.14~0.21 and RMSE 0.9~0.17 |
Merlin et al., [51] | Downscaling algorithm is derived from MODIS and physical-based soil evaporative efficiency model | NAFE 2006 (Oct-Nov), Murrumbidgee catchment, Yanco, Southeastern Australia | Overall RMSE is between 1.4%~1.8% v/v |
Merlin et al., [51] | Based on two soil moisture indices EF and AEF | June and August 1990 (Monsoon' 90 experiment), USDA-ARS WGEW in southeastern Arizona | Total accuracy is 3% vol. for EF and 2% vol. for AEF, and correlation coefficient is 0.66~0.79 for EF and 0.71~0.81 for AEF |
Merlin et al., [52] | Sequential model | NAFE 2006 (Oct-Nov), Yanco, Southeastern Australia | RMSE is −0.062 vol./vol. and the bias is 0.045 vol./vol. |
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