Using satellite data to estimate particulate air quality in a subtropical city: an evaluation of accuracy and sampling issues
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AbstractAlthough satellite data are increasingly being used for particulate air quality studies, the applicability of satellite-derived aerosol optical depth (AOD or tau) products for use over tropical or subtropical cities with frequent cloud cover should be carefully examined. Using eight years of ground-based and satellite-based observations, we assess the accuracy and sampling issues of using satellite data to study particulate air quality over a typical subtropical city, Hong Kong, at monthly to yearly timescales. The validation of Moderate Resolution Imaging Spectroradiometer (MODIS) AOD products shows that 64.6% of the retrievals fall within an expected error envelope of +/- (0.05+0.15 tau) and that they have a low bias during the eight-year study period, thus suggesting that the accuracy of current satellite-derived AOD data still needs to be improved. In addition, the availability of satellite observations is typically less than 30% during the months in spring and summer and less than 35% over seasonal and yearly timescales due to the cloudy and rainy weather. Inadequate sampling issues result in large biases over monthly and seasonal timescales; however, satellite data do not have major sampling issues on the yearly timescale despite the positive bias due to the washout effects of rain.
All Author(s) ListZhang M, Huang B, Jiang RR
Journal nameRemote Sensing Letters
Volume Number6
Issue Number5
Pages370 - 379
LanguagesEnglish-United Kingdom
Web of Science Subject CategoriesImaging Science & Photographic Technology; Remote Sensing

Last updated on 2020-24-10 at 02:38