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International Journal of Advanced Research in Artificial Intelligence(IJARAI), Volume 5 Issue 1, 2016.
Abstract: Cirrus cloud detection accuracy of GOSAT/CAI and Landsat-8 is evaluated with a ground based Laser Radar: Lidar data and sky view camera data. Also, the evaluation results are confirmed with Calipso data together with a topographic representation of vertical profile of cloud structure. Furthermore, origin of cirrus clouds is estimated with forward trajectory analysis. The results show that GOSAT/CAI de4rived cirrus clouds is not accurately enough due to missing of cirrus cloud detection spectral channel while Landsat-8 derived cirrus cloud.
Kohei Arai and Masanori Sakashita, “Evaluation of Cirrus Cloud Detection Accuracy of GOSAT/CAI and Landsat-8 with Laser Radar: Lidar and Confirmation with Calipso Data” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 5(1), 2016. http://dx.doi.org/10.14569/IJARAI.2016.050103
@article{Arai2016,
title = {Evaluation of Cirrus Cloud Detection Accuracy of GOSAT/CAI and Landsat-8 with Laser Radar: Lidar and Confirmation with Calipso Data},
journal = {International Journal of Advanced Research in Artificial Intelligence},
doi = {10.14569/IJARAI.2016.050103},
url = {http://dx.doi.org/10.14569/IJARAI.2016.050103},
year = {2016},
publisher = {The Science and Information Organization},
volume = {5},
number = {1},
author = {Kohei Arai and Masanori Sakashita}
}
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.