The aerosol optical depth (AOD) can be retrieved accurately with sequential ground based measurements of the direct and diffuse solar radiance. However, it has the limitation in the spatial coverage and location. Hence, the use of satellite image data is a proper tool for retrieving aerosol optical depth products with more spatial information and the pattern of aerosol distribution. As for aerosol remote sensing, the optimal approach of AOD retrieval over urban and rural areas could be different due to the characteristics of surface reflectivity. In this study, the concepts of contrast reduction and dark target approaches are examined with Landsat image and the observation of sun photometer (AERONET) for integrating AOD distribution over Taipei city in Taiwan. For the areas with bright surfaces such as urban area is applied by dispersion coefficient method with accompany sun photometer in order to reduce considerably errors in the product. In contrast, the dark target algorithm with the relationship of surface reflectance between blue (0.49 μm), red (0.66 μm), and 2.1 μm spectral bands, is suitable for moist soils and vegetation areas. The retrieval of AOD spatial distribution will be compared with MODIS AOD products for verifying the accuracy of the result. Furthermore, this result is evaluated to analysis the relationship between AOD and particle matter (PM) for the application to air quality monitoring.
|出版狀態||已出版 - 2015|
|事件||36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, ACRS 2015 - Quezon City, Metro Manila, Philippines|
持續時間: 24 10月 2015 → 28 10月 2015
|???event.eventtypes.event.conference???||36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, ACRS 2015|
|城市||Quezon City, Metro Manila|
|期間||24/10/15 → 28/10/15|