Fractional vegetation cover (σv) is needed in the modeling of the land-atmosphere exchanges of momentum, energy, water, and trace gases. From global 1-km, 10-day composite Advanced Very High Resolution Radiometer normalized difference vegetation index (NDVI) data from April 1992 to March 1993, global 1-km σv is derived based on the annual maximum NDVI value for each pixel in comparison with the NDVI value that corresponds to 100% vegetation cover for each International Geosphere-Biosphere Program land cover type. This dataset is pixel dependent but season independent, with the seasonal variation of vegetation greenness in a pixel accounted for by the leaf area index. The authors' algorithm is found to be insensitive to the use of a specific land cover classification. In comparison with an independent dataset derived by DeFries et al. by using a more sophisticated statistical approach, the current dataset has a similar spatial distribution but systematically smaller σv (particularly over shrublands and barren land cover). It also gives σv values that overall are consistent with those derived from higher-resolution aircraft and satellite data over Arizona and field-survey data over Germany.
|Number of pages
|Journal of Applied Meteorology
|Published - Jun 2000
ASJC Scopus subject areas
- Atmospheric Science