Abstract: In order to evaluate the skin surface temperature (SSST) estimation accuracy with MODIS data, 84 of MODIS scenes together with the match-up data of NCEP/GDAS are used. Through regressive analysis, it is found that 0.305 to 0.417 K of RMSE can be achieved. Furthermore, it also is found that band 29 is effective for atmospheric correction (30.6 to 38.8% of estimation accuracy improvement). If single coefficient set for the regressive equation is used for all the cases, SSST estimation accuracy is around 1.969 K so that the specific coefficient set for the five different cases have to be set.

Kohei Arai, “Evaluation of Regressive Analysis Based Sea Surface Temperature Estimation Accuracy with NCEP/GDAS Data ” International Journal of Advanced Computer Science and Applications(IJACSA), 3(11), 2012. http://dx.doi.org/10.14569/IJACSA.2012.031108

@article{Arai2012,
title = {Evaluation of Regressive Analysis Based Sea Surface Temperature Estimation Accuracy with NCEP/GDAS Data },
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2012.031108},
url = {http://dx.doi.org/10.14569/IJACSA.2012.031108},
year = {2012},
publisher = {The Science and Information Organization},
volume = {3},
number = {11},
author = {Kohei Arai}
}