Volume II-4/W2
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-4/W2, 13-18, 2015
https://doi.org/10.5194/isprsannals-II-4-W2-13-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-4/W2, 13-18, 2015
https://doi.org/10.5194/isprsannals-II-4-W2-13-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

  10 Jul 2015

10 Jul 2015

AGENT- AND CLOUD-SUPPORTED GEOSPATIAL SERVICE AGGREGATION FOR FLOOD RESPONSE

X. Tan1, L. Di2, M. Deng2, A. Chen3, Z. Sun2, C. Huang1, Y. Shao1, and X. Ye3 X. Tan et al.
  • 1International School of Software, Wuhan University, 430079, Wuhan, China
  • 2Department of Geography and GeoInformation Science, George Mason University, Fairfax, VA 22030, USA
  • 3NOAA/NGS, 1315 East-West Highway, Silver Spring, MD 20910-3282, Department of Geography, Kent State University, Kent, OH, 44242, USA

Keywords: Flood Response, Geospatial Service, Service Aggregation, Open Geospatial Consortium, Cloud, Agent

Abstract. Flooding caused serious losses in China in the past two decades; therefore, responding to and mitigating the impact of flooding is a task of critical importance. The traditional flood response process is usually very time-consuming and labor-intensive. The Service-Oriented Architecture (SOA)-based flood response is a method with low efficiency due to the large volume of geospatial data transfer, and this method cannot meet the real-time requirement of a rapid response to flooding. This paper presents an Agent- and Cloud-supported geospatial service aggregation to obtain a more efficient geospatial service system for the response to flooding. The architecture of this method is designed and deployed on the Cloud environment, and the flooding response prototype system is built on the Amazon AWS Cloud to demonstrate that the proposed method can avoid transferring large volumes of geospatial data or Big Spatial Data. Consequently, this method is able to achieve better performance than that of the SOA-based method.