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  • 标题:Analysis of the quality of collection 4 and 5 vegetation index time series from MODIS
  • 本地全文:下载
  • 作者:R.R. Colditz ; C. Conrad ; T. Wehrmann
  • 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:2007
  • 卷号:XXXVI-2/C43
  • 出版社:Copernicus Publications
  • 摘要:Globally acquired data from both MODIS instruments are suitable for science quality time series, because the unique concept of pixel-level quality information of each MODIS land product allows a detailed analysis of the data usability. MODIS datasets are regularly updated and reprocessed to meet present science requirements. This study compares time series of present collection 4 and currently released collection 5 data for the vegetation index product (MOD13). Considerable adjustments were made including changes in cloud and aerosol detection, compositing, and a redesign of the quality information layer. A software package for time series generation of MODIS data (TiSeG) was adjusted to collection 5 products. The quality requirements of collection 5 data are stricter and collection 5 flags are more sensitive to atmospheric disturbances. The newly introduced reliability dataset is important for accurate cloud detection. Compared to the NDVI, the EVI time series has a higher dynamic range for vegetated units and a better inherent temporal consistency also for lower quality composites
  • 关键词:Data Quality; Time Series; Data Collections; Vegetation Index; MODIS; Germany
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