文章基本信息

标题：Moderate Resolution Satellite Data in Forest Monitoring Systems
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作者：A. Kopka ; M. Ehlers ; J. Schiewe 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：2008
卷号：XXXVII Part B7
页码：1471-1476
出版社：Copernicus Publications
摘要：What are the benefits of moderate resolution data and which parameters could the user receive from these data. The following text tries to give some answers to this question.In an examination, the satellite images from the sensors MODIS (Moderate Resolution Imaging Spectroradiometer), ASTER (Advanced Space borne Thermal Emission and Reflection Radiometer) and LANDSAT are compared to show which parameters for vegetation models, e.g. the Leaf Area Index (LAI), the Normalized Differenced Vegetation Index (NDVI) or the Photo Synthetically Active Radiation (APAR) can be estimated. Therefore specific vegetation models were developed to estimate the "carbon reservoir". In the present thesis the adapted model is the Global Production Efficiency Model (GLOPEM) invented by Goetz et al. (1996).All parameters were compared with a classification of the standard Maximum Likelihood (ML) and Minimum Distance to mean (MD) methods. The accuracy of the ASTER data in comparison with CORINE Land Cover 2000 lies around 80 percent and declares the best results. But also the results of the MODIS and LANDSAT images were beneath the marks of ASTER
关键词：Climate Change; Forestry; Remote Sensing; Vegetation Model; MODIS; ASTER; LANDSAT; CORINE