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

statistical can provide reasonable results, its accuracy depends on the number of training
data. Moreover, the thresholds used in the algorithm are usually site-specific, which limit
the application of the algorithm.
One of the significant achievements of this dissertation is to assess the impacts on
the L1B measurements and corresponding science data products caused by the instrument
itself. However, only the influence from the spatial characterization change is performed
in this dissertation. It is very beneficial to estimate the impacts from all three kinds of
characterization changes.
8.3 Future Works
The approach for detecting smoke and dust aerosol with satellite remote sensing
could be enhanced with further studies. Recommendations for future researches fall into
four categories, showing as follow:
1) Adding more precise site-specific information. Currently, the surface is only
separated into land and ocean for smoke detection, and divided into dark and bright
surface for dust storm monitoring. The more strict classification of surface features and
site-specific thresholds can enhance the accuracy of algorithm significantly. It is very
valuable to build up a lookup table to store the site-specific thresholds for whole global.
2) Enhancing the algorithm by using multi-sensor measurements. In this dissertation,
only CALIPSO and MODIS are combined for dust detection. Integrating more sensors
can enhance the detection approach and improve the detection accuracy.
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