Abstract

The NDVI3g time series is an improved 8-km normalized difference vegetation index (NDVI) data set produced from Advanced Very High Resolution Radiometer (AVHRR) instruments that extends from 1981 to the present. The AVHRR instruments have flown or are flying on fourteen polar-orbiting meteorological satellites operated by the National Oceanic and Atmospheric Administration (NOAA) and are currently flying on two European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) polar-orbiting meteorological satellites, MetOp-A and MetOp-B. This long AVHRR record is comprised of data from two different sensors: the AVHRR/2 instrument that spans July 1981 to November 2000 and the AVHRR/3 instrument that continues these measurements from November 2000 to the present. The main difficulty in processing AVHRR NDVI data is to properly deal with limitations of the AVHRR instruments. Complicating among-instrument AVHRR inter-calibration of channels one and two is the dual gain introduced in late 2000 on the AVHRR/3 instruments for both these channels. We have processed NDVI data derived from the Sea-Viewing Wide Field-of-view Sensor (SeaWiFS) from 1997 to 2010 to overcome among-instrument AVHRR calibration difficulties. We use Bayesian methods with high quality well-calibrated SeaWiFS NDVI data for deriving AVHRR NDVI calibration parameters. Evaluation of the uncertainties of our resulting NDVI values gives an error of ± 0.005 NDVI units for our 1981 to present data set that is independent of time within our AVHRR NDVI continuum and has resulted in a non-stationary climate data set.

Highlights

  • The Normalized Difference Vegetation Index (NDVI) derived from the Advanced Very HighResolution Radiometer (AVHRR) instruments has been crucial to study a variety of global land vegetation processes and how they vary in time [1,2,3,4,5,6,7,8]

  • We evaluate the stability of the Bayesian transformation (Btr) at reducing the dual-gain quantification and spectral response function (SRF) bias

  • We describe our July 1981 to December 2012 Advanced Very High Resolution Radiometer (AVHRR) NDVI3g global data set and the various steps included in producing it

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Summary

Introduction

The Normalized Difference Vegetation Index (NDVI) derived from the Advanced Very HighResolution Radiometer (AVHRR) instruments has been crucial to study a variety of global land vegetation processes and how they vary in time [1,2,3,4,5,6,7,8]. 2000 and the AVHRR/3 instrument that is flying/has flown since November 2000 to present These instruments have flown or are flying on fourteen National Oceanic and Atmospheric Administration (NOAA) polar-orbiting platforms in the TIROS-N/NOAA (A-D) series and in the Advanced TIROS-N (ATN)/NOAA (E-N’) series (The National Oceanic and Atmospheric Administration (NOAA) and the National Aeronautics and Space Administration (NASA) have jointly developed this valuable series of polar-orbiting Operational Environmental Satellites (POES). NASA’s Goddard Space Flight Center has managed the development and launch of the mission that encompasses the NOAA (A-N Prime) series of platforms After NASA transferred operational control to NOAA, the name of the satellite changed from NOAA (A-N Prime) to NOAA [6,7,8,9,10,11,12,13,14,15,16,17,18,19] (see Table 1 for renaming). AVHRR sensors were not originally intended as a climate mission [1], their early success for vegetation studies was due to a reconfiguration of the instruments to have non-overlapping (“visible”)

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