Derivation and evaluation of global 1-km fractional vegetation cover data for land modeling

Xubin Zeng, Robert E. Dickinson, Alison Walker, Muhammad Shaikh, Ruth S. Defries, Jiaguo Qi

Research output: Contribution to journalArticle

253 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)826-839
Number of pages14
JournalJournal of Applied Meteorology
Volume39
Issue number6
DOIs
StatePublished - Jun 2000

ASJC Scopus subject areas

  • Atmospheric Science

Fingerprint Dive into the research topics of 'Derivation and evaluation of global 1-km fractional vegetation cover data for land modeling'. Together they form a unique fingerprint.

  • Cite this