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

نویسندگان

  • Kohei Arai
  • Masanori Sakashita
چکیده

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

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تاریخ انتشار 2016