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MODIS Land Data Products: Generation, Quality Assurance and Validation

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Land Remote Sensing and Global Environmental Change

Part of the book series: Remote Sensing and Digital Image Processing ((RDIP,volume 11))

Abstract

The Moderate Resolution Imaging Spectroradiometer (MODIS) onboard NASA’s Earth Observing System (EOS) Terra and Aqua satellites are key instruments that ­provide data on global land, atmosphere, and ocean dynamics (Salomonson et al. 1989). MODIS acquires data, which covers the entire earth surface on a near-daily basis in 36 spectral bands that span the visible (0.415 µm) to infrared (14.235 µm) spectra at 1-km, 500-m, and 250-m nadir pixel resolutions.

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Acknowledgments

The authors wish to acknowledge the dedication of the staff of the MODIS SDST and the MODIS Land Science Team. This work was performed in the Terrestrial Information Systems Branch (Code 614.5) of the Hydrospheric and Biospheric Sciences Laboratory (Code 614) at NASA GSFC. The work was funded under NASA contracts NAS5-32350 and NAS5-02041.

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Authors and Affiliations

  1. Terrestrial Information Systems Branch, NASA Goddard Space Flight Center, Greenbelt, MD, 20771, USA

    Edward Masuoka

Authors
  1. Edward Masuoka
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  2. David Roy
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  3. Robert Wolfe
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  4. Jeffery Morisette
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  5. Scott Sinno
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  6. Michael Teague
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  7. Nazmi Saleous
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  8. Sadashiva Devadiga
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  9. Christopher O. Justice
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  10. Jaime Nickeson
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Corresponding author

Correspondence to Edward Masuoka .

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Editors and Affiliations

  1. USGS at the EROS Data Center, Satellite Systems Branch, NASA EOS-ESE, Sioux Falls, 57198-0001, South Dakota, USA

    Bhaskar Ramachandran

  2. Dept. Geography, University of Maryland, Lefrak Hall 2181, College Park, 20742, Maryland, USA

    Christopher O. Justice

  3. Jet Propulsion Lab., California Institute of Technology, Oak Grove Drive 4800, Pasadena, 91109-8099, California, USA

    Michael J. Abrams

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Masuoka, E. et al. (2010). MODIS Land Data Products: Generation, Quality Assurance and Validation. In: Ramachandran, B., Justice, C., Abrams, M. (eds) Land Remote Sensing and Global Environmental Change. Remote Sensing and Digital Image Processing, vol 11. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-6749-7_22

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