Referenced Items are not available for this document.
We developed a new statistical spatiotemporal model for chlorophyll-a (chl-a) distribution over the Sea of Japan, derived from the satellite-based Sea-viewing Wide Field-of-view Sensor (SeaWiFS). Because preliminary analysis showed that the SeaWiFS data exhibit anisotropy in space and autocorrelation in time, we propose a new spatiotemporal model for chl-a distribution and its predictor. Numerical prediction experiments applying the SeaWiFS data showed that the predictor could forecast chl-a distributions in summer and early fall well, although further changes in the model structure will be necessary to predict aspects of the spring and late fall blooms.
Published in:
Geoscience and Remote Sensing Letters, IEEE
(Volume:3
,
Issue:
2
)
Date of Publication: April 2006
- Page(s):
- 212 - 216
- ISSN :
- 1545-598X
- INSPEC Accession Number:
- 8878756
- Digital Object Identifier :
- 10.1109/LGRS.2005.861931
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 18 April 2006
- Issue Date :
- April 2006
- Sponsored by :
- IEEE Geoscience and Remote Sensing Society
About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.
