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Proceedings Paper

Observation planning strategy of a Japanese spaceborne sensor: hyperspectral imager suite (HISUI)
Author(s): Kenta Ogawa; Makoto Takenaka; Tsuneo Matsunaga; Satoru Yamamoto; Osamu Kashimura; Tetsushi Tachikawa; Satoshi Tsuchida; Jun Tanii; Shuichi Rokugawa
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Paper Abstract

Hyperspectral Imager Suite (HISUI) is a Japanese future spaceborne hyperspectral instrument being developed by Ministry of Economy, Trade, and Industry (METI) and will be launched in 2015 or later. HISUI’s operation strategic study is described in this paper. In HISUI project, Operation Mission Planning (OMP) team will make long- and short-term observation strategy of the sensor. OMP is important for HISUI especially for hyperspectral sensor, and relationship between the limitations of sensor operation and the planned observation scenarios have to be studied. Major factors of the limitations are the combinations of downlink rate, observation time (15 minutes per orbit) and the swath of the sensor (30 km). The achievements of global mapping or regional monitoring need to be simulated precisely before launch. We have prepared daily global high resolution (30 second in latitude and longitude) climate data for the simulation.

Paper Details

Date Published: 9 November 2012
PDF: 9 pages
Proc. SPIE 8527, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications IV, 85270Z (9 November 2012); doi: 10.1117/12.977316
Show Author Affiliations
Kenta Ogawa, Rakuno Gakuen Univ. (Japan)
Makoto Takenaka, Rakuno Gakuen Univ. (Japan)
Tsuneo Matsunaga, National Institute for Environmental Studies (Japan)
Satoru Yamamoto, National Institute for Environmental Studies (Japan)
Osamu Kashimura, Japan Space Systems (Japan)
Tetsushi Tachikawa, Japan Space Systems (Japan)
Satoshi Tsuchida, National Institute of Advanced Industrial Science and Technology (Japan)
Jun Tanii, Japan Space Systems (Japan)
Shuichi Rokugawa, The Univ. of Tokyo (Japan)

Published in SPIE Proceedings Vol. 8527:
Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications IV
Allen M. Larar; Hyo-Sang Chung; Makoto Suzuki; Jian-yu Wang, Editor(s)

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