4.1.1 Coarse resolution optical data
Coarse resolution refers to a pixel size of greater than about 250m which is generally regarded as too large to be used for generating REDD+ activity data. Changes in spectral indices derived from coarse resolution data e.g. MODIS VIIRS, and CBERS-2 (and eventually Sentinel 3) may be useful in detecting areas where changes are occurring in forests, and this can be used for stratification or to guide sampling. High temporal resolution available from MODIS can help compensate for the coarse spatial resolution by smoothing the time series . High frequency, coarse resolution data can be used to derive a near-real time forest change indicators map, subject to cloud cover limitations, useful for early warning and detection of forest clearing and degradation.