期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2000
卷号：XXXIII Part B7(/1-4)
页码：709-716
出版社：Copernicus Publications
摘要：Keeping up-to-date land cover information and tracking changes are important tasks carried out by various national and international agencies and institutions. Satellite images are an attractive data source for these purposes as they cover large areas and are recorded on a regular basis. Continuos updating of complete data bases using high resolution data is usually prohibitively expensive, especially when done on a continental or even only national level. This paper examines the use of medium spatial resolution satellite data for basic monitoring purposes. NOAA-AVHRR, SPOT Vegetation and Resource-01 MSU-SK images, covering parts of the Netherlands, are transformed using a linear unmixing algorithm in order to derive proportions of spectrally defined land cover types. The results are compared with an existing land use data base (LGN-3) in order to evaluate how suitable the different sensors are for unmixing purposes
关键词：land cover; remote sensing; linear unmixing; multi-scale; monitoring
