- 追加された行はこの色です。
- 削除された行はこの色です。
* Introduction [#web4c7a1]
The marine forest plays important roles as producers and a nursery ground for marine fish in the coastal zone. The marine forest has also important roles in the food chain and the coastal zone environment. Recently, deterioration by reclamation and the sea desert of the marine forest become a severe problem. On the other hand, there are many unknown parts life history of seaweeds and the sea alga, although the creation of the marine forest is getting advanced in Japan. Therefore, it is necessary to understand the properties of marine forest for appropriate maintenance or creation scientifically. Thus, it is important to monitor the widely distributed marine forest regularly to understand the life environment of the marine forest. The research of coastal construction management is progressed as one of the conservation plans in the marine forest. This requires monitoring of a temporal and spatial change of marine forest distribution, for quick countermeasure to the environment.
The purpose of this study is developing new estimation algorithm of marine forest distribution that doesn't depend on local data based on an optical theory. Then the propose compared with the method is conventional image classification method, and observed data. Finally, the validity of the methods is examined through the discussion.
#ref(http://sauron.urban.eng.osaka-cu.ac.jp/~mori/research/remote_seagrass/seagrass_small.jpg)
//#ref(http://sauron.urban.eng.osaka-cu.ac.jp/~mori/images/research/seagrass_small.jpg)
#ref(seagrass_small.jpg)
** Collaborators [#qb989779]
- Junichi Ninomiya, OCU
- Susumu Yamochi, OCU
- Takashi Uede, Wakayama Prefecture
This project has bee started since 2005.
* Results [#x836f66a]
- [[Preliminary Results:http://sauron.urban.eng.osaka-cu.ac.jp/~mori/research/remote_seagrass/fourfluxmodel]]
- [[Preliminary Results:http://sauron.urban.eng.osaka-cu.ac.jp/~mori/research/finished/remote_seagrass/fourfluxmodel]]
-- Detecting seaweed as a function of local reflectance from an airbone image.
* References [#hc9d1ffa]
** This Project [#reb7c607]
- Ninomiya, J.,N. Mori, S. Yamochi and T. Uede (2006) Remote sensing of sea grass coverage using optical transfer theory, TECHNO-OCEAN2006, 19th JASNAOE Ocean Engineering Symposium. (submitted).
** Others [#zbf35453]
- [[References: Local Remote Sensing for Seaweed Detection]]
