Scaling between NOAA AVHRR Data and LANDSAT TM Data for Monitoring and Mapping of Wetland 

作成者 Yasuoka, Yoshifumi, Sugita, Mikio, Yamagata, Yoshiki, Tamura, Masayuki, Suhama, Tomoyuki
日本十進分類法 (NDC) 450
内容 研究概要:A scaling technique was investigated to extrapolate the local information on landcover type mixtures derived from high spatial resolution data (TM) to more extensive area through low spatial resolution but wide coverage data (AVHRR). Over a combined set of TM and AVHRR, first, landcover types of the area was classified into three categories including vegetation, water and others (non-vegetation) with TM data, and next AVHRR image density was statistically regressed with category mixture conditions derived from TM pixels in each AVHRR pixel. Based on the regression model (scaling model) local information on the category mixture was estimated only from AVHRR data over more extensive area. The method is applied to the wetland type categorization and mapping with AVHRR where landcover is required to be characterized by the complex mixtures of vegetation, water and soil.
コンテンツの種類 研究報告書 Research Paper
DCMI資源タイプ text
掲載誌情報 Proceedings of the international symposium on Vegetation Monitoring page.131-136 (1995)
言語 英語

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