气候变化领域集成服务门户(CCPortal): High-resolution aerosol retrieval over urban areas using sentinel-2 data

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DOI	10.1016/j.atmosres.2021.105829
	High-resolution aerosol retrieval over urban areas using sentinel-2 data
	Yang Y.; Chen Y.; Yang K.; Cermak J.; Chen Y.
发表日期	2021
ISSN	0169-8095
卷号	264
英文摘要	Accurate retrieval of Aerosol Optical Depth (AOD) data from satellite remote sensing images over urban areas is of great importance, e.g. for air-quality monitoring. However, limited by coarse spatial resolution, available aerosol products are unable to fulfil the increasing demand of aerosol retrieval below the city scale. To address this issue, a new high-resolution (60 m) aerosol retrieval algorithm based on Sentinel-2 data over urban areas was developed. To improve the estimation of surface reflectance, two algorithms: (1) the new visible/2.19 μm surface reflectance relationships as a function of normalized difference vegetation index (NDVI) for vegetated areas; and (2) the surface reflectance database preconstructed from the operational high-quality and high-resolution Landsat 8 surface reflectance products for bright areas, were adopted depending on the surface types. For validation, the derived retrievals from Sentinel-2, along with the operational MODerate resolution Imaging Spectrometer Collection 6 (C6) aerosol products (MOD04_L2 and MCD19A2), were compared with measurements from Aerosol Robotic Network (AERONET) stations. The validation results show that the Sentinel-2 AOD retrievals agreed well with the AERONET AOD measurements, with an overall correlation coefficient of 0.907, expected error (EE) of 73.76%, mean absolute error (MAE) of 0.087, and root mean square error (RMSE) of 0.117. Comparison of the results with MOD04_L2 products (10 km) show that the Sentinel-2 AODs were superior in the situations considered, indicating that the new algorithm performed better in AOD retrieval over urban areas. Compared with the fine spatial resolution MCD19A2 products (1 km), retrievals of the proposed algorithm were comparable. The new algorithm is able to retrieve high-resolution AODs reasonably well from Sentinel-2 images over urban areas, and can provide continuous and detailed aerosol spatial distributions. Owing to the ability of the Sentinel-2 satellite to provide observations at 5-day intervals, the proposed algorithm is capable of monitoring aerosol distributions at relatively fine temporal resolution. © 2021
英文关键词	Aerosol retrieval; High resolution; Sentinel-2; Urban areas
来源期刊	Atmospheric Research
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/236586
作者单位	School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China; Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology (KIT), Karlsruhe, 76131, Germany; Institute of Photogrammetry and Remote Sensing, Karlsruhe Institute of Technology (KIT), Karlsruhe, 76131, Germany
推荐引用方式 GB/T 7714	Yang Y.,Chen Y.,Yang K.,et al. High-resolution aerosol retrieval over urban areas using sentinel-2 data[J],2021,264.
APA	Yang Y.,Chen Y.,Yang K.,Cermak J.,&Chen Y..(2021).High-resolution aerosol retrieval over urban areas using sentinel-2 data.Atmospheric Research,264.
MLA	Yang Y.,et al."High-resolution aerosol retrieval over urban areas using sentinel-2 data".Atmospheric Research 264(2021).