Global Monthly Vegetation Cover

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REPRINT OF "THE ENHANCED NOAA GLOBAL LAND DATASET FROM THE ADVANCED VERY HIGH RESOLUTION RADIOMETER" PAPER

Authors Garik Gutman, Dan Tarpley, Aleksandr Ignatov, (all from Satellite Research Laboratory, NOAA/NESDIS, Washington, D.C.) and Steve Olson (Research and Data Systems Corporation, Greenbelt, MD)

[Reprinted from Bulletin of the American Meteorological Society, 76 (7), 1141-1156, July 1995.]

Abstract
Global mapped data of reflected radiation in the visible (0.63 12) and near-infrared (0.85 12) wavebands of the Advanced Very High Resolution Radiometer (AVHRR) onboard National Oceanic and Atmospheric Administration satellites have been collected as the global vegetation index (GVI) dataset since 1982. Its primary objective has been vegetation studies (hence its title) using the normalized difference vegetation index, NDVI calculated from the visible and near-IR data. The second-generation GVI, which started in April 1985, has also included brightness temperatures in the thermal IR (11 and 12) and the associated observation-illumination geometry. This multiyear, multispectral, multisatellite dataset is a unique tool for global land studies. At the same time, it raises challenging remote sensing and data management problems with respect to uniformity in time, enhancement of signal-to-noise ratio, retrieval of geophysical parameters from satellite radiances, and large data volumes. The authors explored a four-level generic structure of processing AVHRR data -- the first two levels being remote sensing oriented and the other two directed at environmental studies -- and will describe the present status of each level. The uniformity of GVI data was improved by applying an updated calibration, and noise was reduced by applying a more accurate cloud-screening procedure. In addition to the enhanced weekly data (recalibrated with appended quality/cloud flags), the available land environmental products include monthly 0.15o-resolution global maps of top-of-the-atmosphere visible and near-IR reflectances, NDVI, brightness temperatures and a precipitable water index for April 1985-September 1994. For the first time, a 5-yr monthly climatology (means and standard deviations) of each quantity was produced. These products show strong potential for detecting and analyzing large-scale spatial and seasonal land variability. The data can also be used for educational purposes to illustrate the annual global dynamics of vegetation cover, albedo, temperature, and water vapor. Development of the GVI data product contributes to the activities of the International Geosphere-Biosphere Programme and Global Energy and Water Cycle Experiment and, in particular, to the International Satellite Land Surface Climatology Project. Monthly standardized anomalies of the GVI variables have been calculated for April 1985-present and are routinely produced on UNIX workstations, thus providing a prototype land monitoring system. Standardized anomalies clearly indicate that strong signals at the land surface, such as droughts and floods, and their teleconnections with such global environmental phenomena as El Niño- Southern Oscillation, can be detected and analyzed. The monitoring of relatively small year-to-year variability is, however, contingent on the removal of residual trends/noise in GVI data, which are of the order of the analyzed effects.

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