Volume XLII-3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 1539-1541, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-1539-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 1539-1541, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-1539-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  30 Apr 2018

30 Apr 2018

A NEW PROCESS-ORIENTED AND SPATIOTEMPORAL DATA MODEL FOR GIS DATA

Y. Shen Y. Shen
  • School of Remote Sensing and Information Engineering, Wuhan University, 430079, China

Keywords: Spatiotemporal data model, Simulation for dynamic process, Event-driven model

Abstract. With the rapid development of wireless sensor and information technology, there is a trend of transition from "digital monitoring" to "intelligence monitoring" advancing process. The traditional model cannot completely match the dynamic data to accurately describe changes of geographical and environmental changes. In this paper, we try to build a process-oriented and real-time spatiotemporal data model to meet the demands. With various types of monitoring devices, detection methods and the utilization of new technologies, the model can simulate the possible waterlog area in a specific year by analyzing the given data. By testing and modifying the spatiotemporal model, we can come to a rational conclusion that our model can forecast the actual situation in certain extent.