
Proceedings Paper
Metadata research and design of ocean color remote sensing data based on web serviceFormat | Member Price | Non-Member Price |
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Paper Abstract
The ocean color remote sensing metadata describes the content, quality, condition, and other characteristics of ocean color remote sensing data. Paper presents a metadata standard draft based on XML, and gives the details of main ocean color remote sensing metadata XML elements. The ocean color remote sensing data platform-sharing is in developments as a part of the digital ocean system, on this basis, the ocean color remote sensing metadata directory service system based on web service is put forward, which aims to store and manage the ocean color remote sensing metadata effectively. The metadata of the ocean color remote sensing data become the most important event for the ocean color remote sensing information more retrieved and used.
Paper Details
Date Published: 22 October 2010
PDF: 5 pages
Proc. SPIE 7831, Earth Resources and Environmental Remote Sensing/GIS Applications, 783117 (22 October 2010); doi: 10.1117/12.864888
Published in SPIE Proceedings Vol. 7831:
Earth Resources and Environmental Remote Sensing/GIS Applications
Ulrich Michel; Daniel L. Civco, Editor(s)
PDF: 5 pages
Proc. SPIE 7831, Earth Resources and Environmental Remote Sensing/GIS Applications, 783117 (22 October 2010); doi: 10.1117/12.864888
Show Author Affiliations
Yan Kang, The Second Institute of Oceanography, SOA (China)
Zhengjiang Univ. (China)
Delu Pan, The Second Institute of Oceanography, SOA (China)
Xianqiang He, The Second Institute of Oceanography, SOA (China)
Zhengjiang Univ. (China)
Delu Pan, The Second Institute of Oceanography, SOA (China)
Xianqiang He, The Second Institute of Oceanography, SOA (China)
Difeng Wang, The Second Institute of Oceanography, SOA (China)
Jianyu Chen, The Second Institute of Oceanography, SOA (China)
Jianyu Chen, The Second Institute of Oceanography, SOA (China)
Published in SPIE Proceedings Vol. 7831:
Earth Resources and Environmental Remote Sensing/GIS Applications
Ulrich Michel; Daniel L. Civco, Editor(s)
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