2B.5 Vegetation Health Index Algorithm for GOES-R ABI

Thursday, 12 November 2009: 4:35 PM
Clement Savadogo, CREST, New York, NY; and A. Rahman, L. Roytman, F. Kogan, and M. Goldberg

Vegetation health product derived from NOAA polar-orbiting meteorological satellites is used to monitor global vegetation condition change. Vegetation Health Index (VHI), a combination of long-term record of normalized difference vegetation index (NDVI) and brightness temperature (BT), is a useful parameter being applied for monitoring land surface conditions.

The Advanced Baseline Imager (ABI) onboard Geostationary Operational Environmental Satellite (GOES) R series (GOES-R) will have the similar visible bands as the Advanced Very High Resolution Radiometer (AVHRR) of the NOAA satellites, which makes it possible to produce improved vegetation health product using high frequent observations. The Advanced Baseline Imager (ABI) is new 16-band imager covering 6 visible (VIS) to near-infrared (NIR) bands (0.47 um to 2.25 um), and 10 infrared (IR) bands (3.9 um to 13.3 um). Spatial resolutions are band dependent, 0.5 km at nadir for broadband VIS, 1.0 km for NIR and 2 km for IR. The ABI will be capable of scanning the Full Disk (FD) in approximately 5 minutes. ABI will improve most of the current product from the existing GOES Imager and will introduce a wide range of new products. As the Spinning Enhanced Visible & Infrared Imager (SEVIRI) and future GOES-R ABI consist of many common spectral channels, the algorithm developed using SEVIRI image channels can be adjusted and used in the GOES-R sensors. The data from SEVIRI onboard the Meteosat Second Generation (MSG) satellites is used as proxy data set for designing and developing the GOES-R/ABI vegetation health product prototype system.

Examples of NDVI products derived from MSG SEVIRI data are presented. Diurnal variations of the derived NDVI are evaluated for different land cover types and for different seasons. The seasonal changes of daily and weekly NDVI composite values over different locations with different vegetation types are also examined. In addition, NDVI retrievals from the geostationary satellite are compared with data from NOAA AVHRR, demonstrating the advantage of the enhanced spectral and spatial resolutions of the new generation geostationary satellites for vegetation monitoring.

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