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International Journal of Advanced Research in Artificial Intelligence(IJARAI), Volume 4 Issue 11, 2015.
Abstract: Method for surface reflectance estimation with MODIS by means of bi-section algorithm between MODIS and estimated radiance is proposed together with atmospheric correction with sky-radiometer data. Surface reflectance is one of MODIS products and is need to be improved its estimation accuracy. In particular the location near the skyradiometer or aeronet sites of which solar direct, aureole and diffuse radiance are measured, it is possible to improve the estimation accuracy of surface reflectance. The experiment is conducted at the skyradiometer site which is situated at Saga University. There is Ariake Sea near the Saga University. It is rather difficult to estimate surface reflectance of the sea surface because the reflectance is too low in comparison to that of land surface. In order to improve surface reflectance estimation accuracy, atmospheric correction is mandated. Atmospheric correction method is also proposed by using skyradiometer data. Through the experiment, it is found that these surface reflectance estimation and atmospheric correction methods are validated.
Kohei Arai and Kenta Azuma, “Method for Surface Reflectance Estimation with MODIS by Means of Bi-Section between MODIS and Estimated Radiance as well as Atmospheric Correction with Skyradiometer” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 4(11), 2015. http://dx.doi.org/10.14569/IJARAI.2015.041102
@article{Arai2015,
title = {Method for Surface Reflectance Estimation with MODIS by Means of Bi-Section between MODIS and Estimated Radiance as well as Atmospheric Correction with Skyradiometer},
journal = {International Journal of Advanced Research in Artificial Intelligence},
doi = {10.14569/IJARAI.2015.041102},
url = {http://dx.doi.org/10.14569/IJARAI.2015.041102},
year = {2015},
publisher = {The Science and Information Organization},
volume = {4},
number = {11},
author = {Kohei Arai and Kenta Azuma}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.