基于过程对象的地表覆盖变化时空过程表达模型  

A Spatio-Temporal Process Expression Model for Land Cover Based on Process Object

作　　者：李寅超[1] 李建松[1] 

机构地区：[1]武汉大学遥感信息工程学院,武汉430079

出　　处：《吉林大学学报（地球科学版）》2017年第3期916-924,共9页Journal of Jilin University：Earth Science Edition

基　　金：国家"十二五"科技支撑计划项目(2012BAJ15B04)~~

摘　　要：时空过程表达是时空数据分析、规律发掘等研究热点的基础。本文从土地利用/地表覆盖变化(land use/cover change,LUCC)时空数据分析和规律发掘应用角度出发,提出了一种基于过程对象的时空过程表达模型,阐述了该模型的时空过程判定方法和存储管理方法。该模型将地表覆盖斑块看作时空对象,将斑块自身变化和相互转化以对象时空过程的形式表达;通过时空过程的组合来表达空间范围更广的时空变化,使斑块变化与景观格局总体变化联系起来。该模型可用于面状地理实体的时空演变模拟和变化规律挖掘等。通过对黑龙江大兴安岭地区地表覆盖时空过程对象的建立、检索与分析,验证了模型的有效性。Spatio-temporal （ST） process expression is the basis of ST data analysis, pattern mining and other ST research hotspots. This paper presents a model of ST process expression based on processes objects, and describes methods of detection and management for ST process, in the point of view of land use/cover change （LUCC） ST data analysis and change pattern mining. Land cover patches are taken as ST objects in the model. The self-changes of a single patch and transformations between patches are expressed in the form of the ST process of the ST objects. We can express a wider range of ST changes by grouping ST processes of patches, so that the model can connect the patches changes to landscape pattern changes. This model can be used in areal geographic entity ST evolution simulation and change pattern mining. To verify the validity of the model, land cover data of Heilongjiang Daxing＇ anling area is used for case study, including ST process object creation, data retrieval and analysis.

关 键 词：时空变化 地表覆盖 时空过程对象 

分 类 号：P208[天文地球—地图制图学与地理信息工程]