Inland and coastal water environment remote sensing monitoring system: rapid construction and application

Hua Xu; Xingfa Gu; Qiu Yin; Li Li; Qiang Chen; Yuhuan Ren; Hong Chen; Xudong Liu; Juan Zhang

doi:10.1117/12.832562

30 October 2009 Inland and coastal water environment remote sensing monitoring system: rapid construction and application

Hua Xu, Xingfa Gu, Qiu Yin, Li Li, Qiang Chen, Yuhuan Ren, Hong Chen, Xudong Liu, Juan Zhang

Author Affiliations +

Proceedings Volume 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications; 74983I (2009) https://doi.org/10.1117/12.832562
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

This paper aims at bridging the gap between the academic research and practical application in water environment monitoring by remote sensing. It mainly focuses on how to rapidly construct the Inland and coastal Water Environment Remote Sensing Monitoring System (IWERSMS) in a software perspective. In this paper, the remote sensed data processing framework, dataflow and product levels are designed based on the retrieval algorithms of water quality parameters. The prototype is four-tier architecture and modules are designed elaborately. The paper subsequently analyzes the strategy and key technology of conglutinating hybrid components, adopting semantic metafiles and tiling image during rapid construction of prototype. Finally, the paper introduces the successful application to 2008 Qingdao enteromorpha prolifra disaster emergency monitoring in Olympics Sailing Match fields. The solution can also fit other domains in remote sensing and especially it provides a clue for researchers who are in an attempt to establish a prototype to apply research fruits to practical applications.

Citation Download Citation

Hua Xu, Xingfa Gu, Qiu Yin, Li Li, Qiang Chen, Yuhuan Ren, Hong Chen, Xudong Liu, and Juan Zhang "Inland and coastal water environment remote sensing monitoring system: rapid construction and application", Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 74983I (30 October 2009); https://doi.org/10.1117/12.832562

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