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Land long-term data record from AVHRR, MODIS and VIIRS

Edward J Masuoka, NASA's GSFC, Edward.J.Masuoka@nasa.gov (Presenting)
Nazmi Z Saleous, United Arab Emirates University, tbd
Eric Vermote, University of Maryland, College Park, eric@kratmos.gsfc.nasa.gov
Jeffery Privette, NOAA NESDIS, tbd
David Roy, South Dakota State University, David.Roy@sdstate.edu
Compton J Tucker, NASA's GSFC, Compton.J.Tucker@nasa.gov
Jorge E Pinzon, SSAI, pinzon@negev.gsfc.nasa.gov
Steve Prince, University of Maryland, College Park, sprince@geog.umd.edu

As a first step toward creating a land surface long-term data record from AVHRR, MODIS and VIIRS, we have reprocessed 20 years worth of AVHRR data (1981-2000) using algorithms based on improvements identified in the AVHRR Pathfinder 2 project and on the knowledge gained from the MODIS surface reflectance activity. In this presentation, we will describe the different steps in the processing chain and how to obtain the products and calibration coefficients from our first reprocessing of these data. Coincident MODIS data starting in February 2000 offer an invaluable asset in evaluating and assessing the accuracy of the newly created AVHRR data set. We will present preliminary results derived from the comparison of AVHRR and MODIS coarse resolution surface reflectance. They include an assessment of the AVHRR vicarious calibration approach and the impact of limited atmospheric correction of on the accuracy of the AVHRR surface reflectance and NDVI products. We plan to use the coincident MODIS acquisitions to further refine the atmospheric correction of AVHRR data and reduce the inaccuracies due to this process.

Presentation Type:  Poster

Abstract ID: 94

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