吉林大学学报(地球科学版) ›› 2017, Vol. 47 ›› Issue (1): 294-304.doi: 10.13278/j.cnki.jjuese.201701308

• 地球探测与信息技术 • 上一篇    

一种面向LUCC的时空数据存储管理模型

李寅超, 李建松   

  1. 武汉大学遥感信息工程学院, 武汉 430079
  • 收稿日期:2016-09-23 出版日期:2017-01-26 发布日期:2017-01-26
  • 作者简介:李寅超(1986-),男,博士研究生,主要从事时空数据存储分析与地理信息系统研究,E-mail:yinchaoli@whu.edu.cn
  • 基金资助:
    国家“十二五”科技支撑计划项目(2012BAJ15B04)

A Storage Management Model of Spatiotemporal Data for LUCC

Li Yinchao, Li Jiansong   

  1. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
  • Received:2016-09-23 Online:2017-01-26 Published:2017-01-26
  • Supported by:
    Supported bythe National Key Technologies R&D Program of China for the 12th Five-Year Plan (2012BAJ15B04)

摘要: 为满足土地利用和地表覆盖变化(land-use and land-cover change,LUCC)动态监测中时空数据统计分析、时空过程模拟、时空演变分析预测、时空数据挖掘的应用需求,需将LUCC数据存储管理方式由单一空间数据推进至时空数据存储管理。本文提出一种基于快照和面向对象的混合时空数据模型,支持矢量和栅格时空数据存储管理、LUCC时空过程模拟、LUCC时空过程建模参数提取和成果数据管理与发布。基于该模型研发了LUCC时空信息系统原型,以LUCC时空信息统计、地表覆盖斑块时空过程模拟、地表覆盖时空转移矩阵计算为例,验证了模型的可行性。

关键词: 土地利用/地表覆盖变化, 时空过程, 快照, 面向对象, 时空数据模型

Abstract: In order to satisfy the requirements in dynamic monitoring of land-use and land-cover change (LUCC) during spatiotemporal (ST) data statistical analysis, ST process simulation, ST change prediction, and ST data mining, storage management methods of LUCC data need to be extended from one dimension (only spatial data) to two dimentions (ST data). A hybrid storage management model of ST data is proposed based on the snapshot technique and the object-oriented analysis in this study. This hybrid model can be used for vector and raster ST data storage and management,LUCC ST process simulation and modeling, parameter extraction, and product management and release. Moreover, a prototype of LUCC ST information system has been developed based on this hybrid model. Furthermore, the feasibility of this hybrid model has been verified through the experiments regarding LUCC ST information statistics, ST process simulation for land cover patches, transformation matrix calculation for land cover, prediction of land cover distribution, and landscape pattern indexes changes of land cover in Harbin. Therefore, the proposed storage management model of ST data and the prototype of LUCC ST information system can be used in LUCC ST changes research for multipurpose needs.

Key words: LUCC, spatiotemporal process, snapshot, object-oriented, spatiotemporal data model

中图分类号: 

  • P208
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