ISPRS-Archives The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ISPRS-Archives Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. 2194-9034 Copernicus Publications Göttingen, Germany 10.5194/isprs-archives-XLII-2-W7-1363-2017 SPATIOTEMPORAL DATA ORGANIZATION AND APPLICATION RESEARCH Tan C. 1 Yan S. 2 Big Data Innovation Center, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing,Wuhan University, Wuhan, China Wuda Geoinformatics Co.,Ltd., Wuhan,China 14 09 2017 XLII-2/W7 1363 1366 Copyright: © 2017 C. Tan 2017 This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/ This article is available from https://isprs-archives.copernicus.org/articles/XLII-2-W7/1363/2017/isprs-archives-XLII-2-W7-1363-2017.html The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XLII-2-W7/1363/2017/isprs-archives-XLII-2-W7-1363-2017.pdf

Organization and management of spatiotemporal data is a key support technology for intelligence in all fields of the smart city. The construction of a smart city cannot be realized without spatiotemporal data. Oriented to support intelligent applications，this paper proposes an organizational model for spatiotemporal data, and details the construction of a spatiotemporal big data calculation, analysis, and service framework for highly efficient management and intelligent application of spatiotemporal data for the entire data life cycle.