Land Cover Remote Sensing Classification Framework Design Based on ISO Extensible Metadata Model
Jia Wen-chen · Geo-information Science · 2008
Land cover information plays an important role not only in social-economic development but also in scientific research area.With the development of the information technology,remotely sensed images provide main data sources for land cover information and knowledge extraction in real time.While there are lots of land cover classification systems in the world facing to different research targets and objectivities and with the crossing of multi-disciplines and expanding of the research area,more and more land cover classification systems are designed.This causes the difficulties for datasets' exchange,integration and fusion which use different classification systems.The problems facing land cover classification systems are similar with the problem of metadata standards.Faced with this problem,ISO TC211 designs an extensive metadata standard framework for geographic data,and draws up the ISO Metadata Standard 19115.Enlightened by the ISO 19115 metadata extensible framework,the paper brings forward the land cover extensible classification framework.The framework is composed of 3 tiers,i.e.,land cover core classes,schema classes and application profile classes.The core classes are derived from the main international land use/land cover classification system.Schema classes inherit and extend core classes.Extensive principle and methods are designed in this framework.This ensures many application classification profiles can be extended from the core classes and schema classes easily while the designed extensive land cover classification system should be tested and perfected through more and more real applications.