Analysis of the Quality of Collection 4 and 5 Vegetation Index Time Series from MODIS [chapter]

Thilo Wehrmann, René Colditz, Stefan Dech, Christopher Conrad, Michael Schmidt
2008 Quality Aspects in Spatial Data Mining  
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
more » ... 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.
doi:10.1201/9781420069273.ch13 fatcat:kwc2hqi2unccjaqn2xhhugh6t4