Paper
19 November 2012 i-LOVE: ISS-JEM lidar for observation of vegetation environment
Kazuhiro Asai, Haruo Sawada, Nobuo Sugimoto, Kohei Mizutani, Shoken Ishii, Tomoaki Nishizawa, Haruhisa Shimoda, Yoshiaki Honda, Koji Kajiwara, Gen Takao, Yasumasa Hirata, Nobuko Saigusa, Masatomo Hayashi, Hiroyuki Oguma, Hideki Saito, Yoshio Awaya, Takahiro Endo, Tadashi Imai, Jumpei Murooka, Takashi Kobatashi, Keiko Suzuki, Ryota Sato
Author Affiliations +
Proceedings Volume 8526, Lidar Remote Sensing for Environmental Monitoring XIII; 85260K (2012) https://doi.org/10.1117/12.981326
Event: SPIE Asia-Pacific Remote Sensing, 2012, Kyoto, Japan
Abstract
It is very important to watch the spatial distribution of vegetation biomass and changes in biomass over time, representing invaluable information to improve present assessments and future projections of the terrestrial carbon cycle. A space lidar is well known as a powerful remote sensing technology for measuring the canopy height accurately. This paper describes the ISS(International Space Station)-JEM(Japanese Experimental Module)-EF(Exposed Facility) borne vegetation lidar using a two dimensional array detector in order to reduce the root mean square error (RMSE) of tree height due to sloped surface.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kazuhiro Asai, Haruo Sawada, Nobuo Sugimoto, Kohei Mizutani, Shoken Ishii, Tomoaki Nishizawa, Haruhisa Shimoda, Yoshiaki Honda, Koji Kajiwara, Gen Takao, Yasumasa Hirata, Nobuko Saigusa, Masatomo Hayashi, Hiroyuki Oguma, Hideki Saito, Yoshio Awaya, Takahiro Endo, Tadashi Imai, Jumpei Murooka, Takashi Kobatashi, Keiko Suzuki, and Ryota Sato "i-LOVE: ISS-JEM lidar for observation of vegetation environment", Proc. SPIE 8526, Lidar Remote Sensing for Environmental Monitoring XIII, 85260K (19 November 2012); https://doi.org/10.1117/12.981326
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KEYWORDS
LIDAR

Vegetation

Sensors

Detector arrays

Atmospheric modeling

Signal to noise ratio

Aerosols

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