Abstract
Sensor and network technology advances are increasingly placing an immense amount of real-time geospatial data streams at the scientist’s disposal. The effective integration and assimilation of such datasets, however, is still a challenging goal. In this paper, we describe a computational framework that simplifies the design, execution, and visualization of processing workflows involving the integration of satellite raster and ground point data streams. The framework is enabled for interoperability by adhering to open sensor data standards, and demonstrated with the evaluation of key environmental inputs needed for the estimation of reference evapotranspiration over California.
This work is in part supported by the NSF under awards ATM-0619139 (Comet), DBI-0619060 (Reap), and IIS-0326517 (GeoStreams).
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References
Hart, Q., Brugnach, M., Temesgen, B., Rueda, C., Ustin, S., Frame, K.: Daily reference evapotranspiration for California using satellite imagery and weather station measurement interpolation. Civil Eng. and Environ. Systems (to appear)
Ziegler, P., Dittrich, K.: Data Integration – Problems, Approaches, and Perspectives. In: Conceptual Modelling in Information Systems Engineering, pp. 39–58 (2007)
Peng, R., Hua, K.A., Hamza-Lup, G.L.: A Web services environment for Internet-scale sensor computing. In: Proc. IEEE International Conference on Services Computing, pp. 101–108 (2004)
Moodley, D., Terhorst, A., Simonis, I., McFerren, G., van den Bergh, F.: Using the Sensor Web to detect and monitor the spread of wild fires. In: 2nd International Symposium on Geo-information for Disaster Management (2006)
Chu, X., Buyya, R.: Service Oriented Sensor Web. In: Sensor Networks and Configuration, pp. 51–74 (2007)
Chaudhry, N., Shaw, K., Abdelguerfi, M.: Stream Data Management (Advances in Database Systems). Springer, Heidelberg (2005)
Rueda, C., Gertz, M.: Modeling satellite image streams for change analysis. In: Proceedings of the 15th annual ACM international Symposium on Advances in Geographic Information Systems (ACMGIS), pp. 43–50. ACM Press, New York (2007)
Gertz, M., Hart, Q., Rueda, C., Singhal, S., Zhang, J.: A data and query model for streaming geospatial image data. In: Grust, T., Höpfner, H., Illarramendi, A., Jablonski, S., Mesiti, M., Müller, S., Patranjan, P.-L., Sattler, K.-U., Spiliopoulou, M., Wijsen, J. (eds.) EDBT 2006. LNCS, vol. 4254, pp. 687–699. Springer, Heidelberg (2006)
Ludäscher, B., Altintas, I., Berkley, C., Higgins, D., Jaeger, E., Jones, M., Lee, E.A., Tao, J., Zhao, Y.: Scientific Workflow Management and the Kepler System. In: Concurrency and Computation: Practice & Experience (2005)
Open Geospatial Consortium. OpenGIS Sensor Web Enablement: Architecture Document, www.opengeospatial.org/pt/14140
California Irrigation Management Information System, http://wwwcimis.water.ca.gov
Geostationary Operational Environmental Satellite, www.goes.noaa.gov .
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Rueda, C., Gertz, M. (2008). Real-Time Integration of Geospatial Raster and Point Data Streams . In: Ludäscher, B., Mamoulis, N. (eds) Scientific and Statistical Database Management. SSDBM 2008. Lecture Notes in Computer Science, vol 5069. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69497-7_45
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DOI: https://doi.org/10.1007/978-3-540-69497-7_45
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