摘要
近年来,多尺度地表覆盖遥感产品的不断涌现,为环境变化研究、地球系统模拟、地理国(世)情监测和可持续发展规划等提供了重要科学数据。为更好地满足广大用户日益增长的应用需求,应对地表覆盖遥感产品进行持续更新完善,保持其时效性、增强时序性、丰富多样性。针对大面积地表覆盖遥感产品更新完善所面临的主要问题,介绍和评述了国内外有关研究动向,包括影像与众源信息相结合的更新、数据类型细化与完善、地表覆盖真实性验证,并作了简要展望。
In the past years, the land cover community has strived to develop and supply more datasets at different spatial scales （e.g., re- gional, national, or global） with increasing spatial-temporal resolutions and improved classification accuracy. Although these data products have been widely applied in climate change studies, environmental monitoring, sustainable development, and many other societal benefit areas, the user communities constantly propose new demands, such as additional land cover classes, up-to-date time series, and consistency among different datasets. Therefore, the continuous updating and content refinement of land cover data products have become key object- ives of the land cover community. The updating and refinement of land cover data products differ from their original creation. Change detec- tion with remotely sensed imagery is a major approach for updating a large area land cover, and the rapidly increasing crowdsourcing in- formation provides another valuable resource. However, as a technical challenge is that no existing change detection algorithm can be ap- plied to all kinds of imageries and geographic regions because of the extremely complex spectral heterogeneity of land cover classes. There- fore, an efficient change detection approach with the consideration of the existing land cover datasets needs to be developed. One cutting- edge issue is to integrate the imagery-based change intensity measurement with prior knowledge represented by existing land cover datasets. Change detection for time series imagery is moving from the comparison of two neighboring points to global trend analysis. The coupling of SAR and infrared images with multispectral images needs to be explored from several aspects, such as relative radiometric correction, spec- tral matching, and temporal-spatial data fusion. Another key challenge comes from the rational utilization of crowdsourcing information for updating and refining land cover. Crowdsourcing information may differ in terms of data contents, position
出处
《遥感学报》
EI
CSCD
北大核心
2016年第5期991-1001,共11页
NATIONAL REMOTE SENSING BULLETIN
基金
中国工程院重点咨询项目(编号:2014-XZ-17)
国家自然科学基金重点项目(编号:41231172)
测绘地理信息公益性行业科技专项(编号:201512028)~~
关键词
地表覆盖
遥感数据产品
更新完善
变化检测
众源信息
land cover, remote sensed data product, updating, change detection, crowdsourcing
