Arid
DOI10.1016/j.apr.2019.01.015
Aerosol optical depth retrieval over the city of Abu Dhabi, United Arab Emirates (UAE) using Landsat-8 OLI images
Omari, Khalid1; Abuelgasim, Abdelgadir2; Alhebsi, Khawla2
通讯作者Abuelgasim, Abdelgadir
来源期刊ATMOSPHERIC POLLUTION RESEARCH
ISSN1309-1042
出版年2019
卷号10期号:4页码:1075-1083
英文摘要Atmospheric aerosol optical depth (AOD) products based on orbiting satellites such the Moderate Resolution Imaging Spectroradiometer (MODIS), the Visible Infrared Imaging Radiometer Suite (VIIRS) and National Oceanic and Atmospheric Administration (NOAA)'s Geostationary Operational Environmental Satellite (GOES) Aerosol Smoke Products (GASP) can provide global and regional daily AOD distributions. Their application to air quality monitoring at local scales such as urban environments is rather limited due to their coarse spatial resolution. Recently, there has been a growing interest in retrieving AOD products based on high resolution optical imagery. The primary objectives of this research study are to assess AOD retrieval over urban city areas using high spatial resolution satellite imagery. With the assumption of Lambertian surface, the principle of AOD retrieval developed is based on the radiative transfer theory using Tanre Equation. To solve the radiative transfer equation, the study adopted the radiative transfer model Second Simulation of the Satellite Signal in the Solar Spectrum (6S) and constructed a Look-Up-Table (LUT) assuming a continental aerosol model. The land surface reflectance (LSR) over the entire study period using Landsat 8 OLI for the period 2016-2017 showed very little variability. The retrieval of AOD is performed by comparing measured and simulated TOA reflectance. The validation is performed using an AERONET Masdar Institute ground based site located within the study area and the 10 km resolution MODIS Collection (C6) Deep Blue AOD (MOD04) products. The validation shows that AOD retrieval approach yields a root mean square error (RMSE) of 0.04, a good correlation with an R-2 equivalent to 67% and that the 58% of the retrieved values fall within the expected error (EE). Also, results show that Landsat-OLI retrieval are better and less biased as compared to MOD04 AOD products and that the used approach can provide much more details compared to the 10 km Deep Blue MODIS AOD products.
英文关键词Aerosol optical depth Air pollution Urban areas Arid and semi-arid regions
类型Review
语种英语
国家Morocco ; U Arab Emirates
开放获取类型hybrid
收录类别SCI-E
WOS记录号WOS:000472996900007
WOS关键词REFLECTANCE ; ALGORITHM ; LAND ; SATELLITE ; PRODUCTS ; NETWORK
WOS类目Environmental Sciences
WOS研究方向Environmental Sciences & Ecology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/214521
作者单位1.Mohammed V Univ, Fac Sci, Water Ctr, Geosci Water & Environm Lab, 4 Ibn Batouta Ave,BP 1014, Rabat, Morocco;
2.United Arab Emirates Univ, Dept Geog & Urban Planning, Natl Space Sci & Technol Ctr, Coll Humanities & Social Sci, Al Ain 15551, Abudhabi, U Arab Emirates
推荐引用方式
GB/T 7714
Omari, Khalid,Abuelgasim, Abdelgadir,Alhebsi, Khawla. Aerosol optical depth retrieval over the city of Abu Dhabi, United Arab Emirates (UAE) using Landsat-8 OLI images[J],2019,10(4):1075-1083.
APA Omari, Khalid,Abuelgasim, Abdelgadir,&Alhebsi, Khawla.(2019).Aerosol optical depth retrieval over the city of Abu Dhabi, United Arab Emirates (UAE) using Landsat-8 OLI images.ATMOSPHERIC POLLUTION RESEARCH,10(4),1075-1083.
MLA Omari, Khalid,et al."Aerosol optical depth retrieval over the city of Abu Dhabi, United Arab Emirates (UAE) using Landsat-8 OLI images".ATMOSPHERIC POLLUTION RESEARCH 10.4(2019):1075-1083.
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