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Modis 2010

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    Modis 2010 Modis 2010 Presentation Transcript

    • Simultaneous Retrieval of Aerosol and Land Bidirectional Reflectance from MODIS
      GEST UMBC/NASA GSFC, July 2, 2010
    • MAIAC Products (1 km, gridded)
      Atmosphere
      • Cloud Mask
      • Water Vapor
      • AOT & fine mode fraction
    • MAIAC Products (1 km, gridded)
      Surface
      • Parameters of RTLS BRF model
      • Surface Reflectance (BRF)
      • Dynamic Land-Water-Snow Mask
    • Multi-Angle Implementation of
      Atmospheric Correction (MAIAC)
      4a. Retrieve Snow sub-pixel Fraction and Snow Grain Size
      2. LTP: Retrieve
      Water Vapor
      (NIR Algorithm)
      Queue of K days
      Is B7 BRF known?
      New Granule
      1. Grid L1B Data and Split in Tiles
      3. QB, LTP: Cloud Mask (Covariance-Based Algorithm)
      QB:Is Snow Detected?
      NO
      YES
      Use MODIS Dark Target Algorithm
      7. QP: Retrieve BRF and albedo in reflective bands.
      Backup: Lambertian retrieval
      6. LTP: Retrieve Fine Mode Fraction
      5. LTP: Retrieve B3 AOT using known surface BRF, B=7bB
      4. QB: Retrieve Spectral Regression Coefficients in Blue band B3 (bB).
    • Aerosol Retrieval Algorithm
      • Compute AOTB and coarse mode fraction  using Blue (B3), Red (B1), SWIR (B7) bands.
      • Surface BRF: use SRC in blue band, . BRF in B1 and B7 is known from previous retrieval with uncertainty .
      • Algorithm: Fit Blue band to find AOTB for given , and find  by minimizing

    • Water Cloud model
      =0.8, High % of Coarse mode
      I

      TOA Reflectance
      I

      =0.2, Low % of Coarse mode
      =0, Fine mode
      , m
      Red
      SWIR
      Blue
      Aerosol Retrieval Algorithm
      AOT
    • Dust Storms – UAE 2004
      Desert Dashti Margo
      MAIAC RGB NBRF (VZA=0, SZA=45 )
    • AERONET Validation, 9 yrs. of TERRA Data
      MAIAC
      MOD04
      AERONET
      The accuracy of MAIAC and MOD04 is generally similar over green and relatively dark parts of the world.
    • Summary
      • Developed a new algorithm MAIAC based on a time series and imagery processing.
      • The algorithm is generic and works over both dark and bright surfaces.
      • The suite of products includes 1 km AOT/coarse mode fraction and BRF/albedo.
      • MAIAC successfully passed NASA HQ ATBD review and will be tested operationally on MODAPS.