Abstract
Query basing on content and geographical scope can increase the MODIS 1B data retrieval efficiency significantly. This article explores how to achieve the content-based web query service. The roadmap includes preprocessing the data to generate additional and assistant information for content-based query, relational database designed for storing the information, the work flow of content-based web query, display of query results and data transfer. Relevant technical key points are also discussed in detail. This roadmap adapts to some utilization specificities of the remote sensing data, and it is a good base to estimate a content-based query of more universality.
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References
Qian, J., Zheng, X.: The Satellite Data Archive System of National Satellite Meteorological Center. Journal of Applied Meteorological Science 14, 756–762 (2003)
Chen, B., Chen, Z.: Research on Archive Method of Massive Remote Sensing Data. Remote Sensing Information 21, 43–46 (2006)
Wang, C., Tang, L.: Discussion on Compatibility of Satellite Data Catalogue and Archive System. Remote Sensing Technology and Application 22, 428–432 (2007)
Wang, X.: Study on the Architecture and Application Pattern of Oracle Spatial 10g GeoRaster. Remote Sensing Technology and Application 21, 468–472 (2006)
Wang, L., Wu, Y.: The Technology of Storing Remote Images Based on Oracle Database. Journal of Institute of Surveying and Mapping 19, 258–261 (2002)
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Yan, D., Liu, H., Zhou, J. (2010). A Technology Explore for the Content-Based Web Query Service on MODIS Level 1B Products. In: Boursas, L., Carlson, M., Jin, H., Sibilla, M., Wold, K. (eds) Systems and Virtualization Management. Standards and the Cloud. SVM 2009. Communications in Computer and Information Science, vol 71. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14944-3_5
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DOI: https://doi.org/10.1007/978-3-642-14944-3_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14943-6
Online ISBN: 978-3-642-14944-3
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