i Detection of Smoke and Dust Aerosols Using Multi-sensor Satellite ...

originalities, and discussions of future directions.
1.5 Major Data Sources
The major datasets used in this dissertation include MODIS L1A Geolocation and
MODIS L1B calibrated radiance, MODIS L2 aerosol product, MODIS L2 fire product,
OMI Aerosol Index (AI), CALIPSO Lidar L1B profiles, CALIPSO L2 product, and
Hyperion measurement. The usages of these datasets in the study are described in details
as follows:
1) MODIS L1A geolocation data
MODIS L1A file records geolocation data (latitude and longitude) at 1 km resolution
which is used for projecting the images. The land/sea mask, another important parameter
in L1A file, is selected for identifying smoke over land and ocean.
2) MODIS L1B calibrated radiance
The L1B dataset contains calibrated radiances of 36 bands. Usually, the reflectance
of RSBs is calculated from digital number with Solar Zenith Angle (SZA) correction, and
the Brightness Temperature (BT) of TEBs is converted from radiance. The major MODIS
measurements for detection of smoke and dust aerosols in chapter 3 and 4 are the Version
5 L1B dataset.
3) MODIS L2 aerosol product
The MODIS aerosol product retrieves the Aerosol Optical Thickness (AOT) over the
oceans and the continents. The resolution of daily product is 10 km (at nadir). Recently,
the aerosol product adopts the deep-blue technique to get AOT over bright land areas.
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