TY - JOUR
AU - Qi, Jiaguo
AB - Fractional vegetation cover ( σσ υυ ) 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 σσ υυ 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 σσ υυ (particularly over shrublands and barren land cover). It also gives σσ υυ values that overall are consistent with those derived from higher-resolution aircraft and satellite data over Arizona and field-survey data over Germany.
TI - Derivation and Evaluation of Global 1-km Fractional Vegetation Cover Data for Land Modeling
JF - Journal of Applied Meteorology
DO - 10.1175/1520-0450(2000)039<0826:DAEOGK>2.0.CO;2
DA - 1999-05-03
UR - https://www.deepdyve.com/lp/american-meteorological-society/derivation-and-evaluation-of-global-1-km-fractional-vegetation-cover-1LBqNpx78u
SP - 826
EP - 839
VL - 39
IS - 6
DP - DeepDyve
ER -