文章基本信息

标题：Interpretation of Tropical Vegetation Using Landsat Etm+ imagery
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作者：M. M. Rahman ; E. Csaplovics ; B. Koch 等
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：2004
卷号：XXXV Part B8
页码：157-162
出版社：Copernicus Publications
摘要：Monitoring of tropical forest is important as it plays a vital role in Global biodiversity and terrestrial carbon dynamics. Remote sensing can be effectively used to monitor the tropical vegetation. However, an operational tool for interpretation and monitoring of tropical forest has not yet well developed. Therefore, the current study aimed to generate an interpretation key and a spectral library for the forests of south-eastern Bangladesh. The study used Landsat ETM+ imagery. Geometrically corrected imagery was obtained from USGS and later was adjusted in the field using GPS. Atmospheric correction was done by modified dark object subtraction method. Eight different vegetation types could be separated from the satellite image. The study has developed an interpretation key, which can be effectively used for monitoring tropical vegetation. A discrete spectral library was also developed from Landsat ETM+ image bands. The result of the study will be quite useful for interpretation and monitoring of tropical forests in similar ecosystem
关键词：Forestry; Vegetation; Interpretation; Monitoring; Landsat; Imagery