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Research Article | Open Access |

Evaluation of Cirrus Cloud Detection Accuracy of GOSAT/CAI and Landsat-8 with Laser Radar: Lidar and Confirmation with Calipso Data

Author 1: Kohei Arai Author 2: Masanori Sakashita
International Journal of Advanced Research in Artificial Intelligence (IJARAI) · Vol. 5, No. 1 · Published 2016

DOI: 10.14569/IJARAI.2016.050103

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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.

Keywords

Cirrus cloud GOSAT/CAI Landsat LiDAR Sky view camera Calipso topogramphic representation of 3D clouds

How to Cite this Article

Arai, K., & Sakashita, M. (2016). 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, 5(1). https://doi.org/10.14569/IJARAI.2016.050103

Arai, Kohei, 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, vol. 5, no. 1, 2016, https://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},
  volume    = {5},
  number    = {1},
  year      = {2016},
  publisher = {The Science and Information Organization},
  author    = {Kohei Arai and Masanori Sakashita},
  doi       = {10.14569/IJARAI.2016.050103},
  url       = {https://doi.org/10.14569/IJARAI.2016.050103}
}

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