高時空融合影像在氣膠光學厚度反演之應用

AOD Retrieval with High Temporal and Spatial Fused Imagery for Regional Air Quality Monitor

10.6574/JPRS.202006_25(2).0001

郭人維(Ren-Wei Kuo)；黃智遠(Chih-Yuan Huang)；張國恩(Kuo-En Chang)；林唐煌(Tang-Huang Lin)；劉振榮(Gin-Rong Liu)

高時空影像融合 ； 自適應時空反射率融合模式（STARFM） ； 氣膠光學厚度（AOD） ； 同時輻射率定法（SRS） ； Image Fusion ； Spatial Temporal Adaptive Reflectance Fusion Model (STARFM) ； Aerosol Optical Depth (AOD) ； Simultaneous Radiation Solution (SRS)

航測及遙測學刊

25卷2期（2020 / 06 / 01）

51 - 69

繁體中文

為獲取高時空解析之氣膠資訊，本研究針對自適應時空反射率融合模式（STARFM）於大氣層頂反射率之影像融合進行修正，並利用同時輻射率定法（SRS）反演氣膠光學厚度（AOD），最後應用於地球同步（Himawari-8）與繞極軌道（Landsat-8）衛星影像在台灣地區空氣污染事件高時空解析之監測，結果以MODIS AOD產品和AERONET地面觀測AOD，分別對大氣氣膠空間分布型態和AOD反演數值進行驗證，結果顯示本研究所反演之AOD與MODIS AOD在空間分布型態相當吻合，且反演數值在兩個案中分別有63%及80%的期望誤差內，呈現本研究所建構之方法在衛星反演高時空解析氣膠光學厚度，具極高之實用性及後續在PM_(2.5)監測應用之潛能。

Aerosol Optical Depth (AOD) is an important indicator of air quality. Through satellite observation, we can obtain comprehensive information on AOD in broad spatial distribution. Since the characteristics of aerosols are both short-lived and regional, the research aim to revise the Spatial-Temporal Adaptive Reflectance Fusion Model (STARFM) to get high spatial and temporal resolution images at top of atmosphere. Moreover, we use an algorithm called Simultaneous Radiation Solution (SRS) to retrieve AOD. To correct the limitation of SRS, which is only applicable for low surface reflectance area, we modify the SRS in this research and further apply it on a higher surface reflectance area. In short, we get high spatial and temporal AOD information through STARFM and SRS. After applying the improved high spatial and temporal algorithm on air pollution events in Taiwan, the result shows well consistence of spatial distribution with MODIS Dark Target AOD product in 3km resolution and similar trend with AOD retrieved from ground based AERONET data. The validation of AOD retrievals showed that there are 63% and 80% of retrieved AOD for each case located in expected error respectively. It indicates that the proposed approach equips with the high potential for providing AOD with both high spatial resolution and high temporal resolution from satellite observations.

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