Module 5: MODIS NonVeg Land Products

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Module 5: MODIS NonVeg Land Products

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Bi-directional Reflection (BRDF) and Albedo. Thermal Anomolies (Fire) ... atmospheric gases, aerosols, and cirrus clouds - applied to all cloud free pixels ... –

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Title: Module 5: MODIS NonVeg Land Products


1
Module 5 MODIS Non-Veg Land Products Radiation
Budget Variables Surface Reflectance Land
Surface Temperature (LST) and Emissivity Snow
and Ice Cover Bi-directional Reflection (BRDF)
and Albedo Thermal Anomolies (Fire)
2
Available Resolutions
Product Spatial Resolution Temporal
Resolution Reflectances 250m, 500m,
1km daily (L2), 8-day (L3) Snow
Cover 500m daily, 8-day, monthly Fire and
Thermal 1km daily, 8-day Land Surface Temp
1km daily, 8-day Albedo 1km daily,
8-day
3
Land Surface Reflectances
  • Mostly serve as inputs to higher level
    biophysical products.
  • - vegetation indices, snow/ice, FPAR/LAI
  • Atmospheric Correction Applied
  • - atmospheric gases, aerosols, and cirrus clouds
  • - applied to all cloud free pixels
  • Corrected view and illumination angle effects
  • Pixel Overlap (Level 3) - Best pixel in
    overlap areas is kept
  • Gridded/Projected (Level 3)

4
Global Composite Map of Nadir BRDF-Adjusted
Reflectance (NBAR) April 722 2001
True color, MODIS Bands 2, 4, 3
10 km resolution, Hammer-Aitoff
projection, produced by MODIS BRDF/Albedo Team
MODLAND/Strahler et al.
5
Land Surface Reflectances
Chesapeake Bay, USA - March 26, 2000
645 nm (red), 555 nm (green), 469 nm (blue)
250 m red band
1km AVHRR
6
Snow and Ice Cover
MODIS 8-day composite March 15-22, 2000
white snow green land gray clouds red line
average March snow line yellow line
average February snow line
7
Snow and Ice Cover
  • Product Resolution
  • Global, 500m cell size
  • Daily
  • 8 day composite - any day with snow tags
    a pixel as having snow
  • - statistics include persistence and
    duration of snow cover

8
Normalized Difference Snow Index
  • Pixel gt 50 snow cover mapped if
  • NDSI gt 0.4 and band 2 reflectance gt 11
  • Additional criteria for dense forests using
    NDVI
  • MODIS Cloud Mask used

9
Fire and Thermal Anomolies
Absolute Fire Detection 1. T4 gt 360K OR
2. T4 gt 320K and T4-T11 gt 20K
Relative To Background Pixels 1. T4 gt
mean(T4) 4 StdDev(T4) AND 2. T4-T11 gt
median(T4-T11) 4 StdDev(T4-T11)
10
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