气候变化领域集成服务门户(CCPortal): High resolution aerosol optical depth retrieval over urban areas from Landsat-8 OLI images

CCPortal

DOI	10.1016/j.atmosenv.2021.118591
	High resolution aerosol optical depth retrieval over urban areas from Landsat-8 OLI images
	Lin H.; Li S.; Xing J.; He T.; Yang J.; Wang Q.
发表日期	2021
ISSN	1352-2310
卷号	261
英文摘要	The satellite-retrieved aerosol optical depth (AOD) provides unique estimation of aerosol loading across a continuous space. However, current AOD products with a relatively coarse resolution (≥1 km) can hardly capture the details in urban areas with large spatial AOD gradients. To address this issue, here we developed a novel retrieval algorithm for retrieving AOD with extra fine spatial resolution (30 m) from Landsat-8 satellite OLI images. In the algorithm, the three land surface reflectance (LSR) estimation schemes and four aerosol types are adopted to improve the retrieval accuracy. The algorithm is applied on Beijing and Wuhan city in China during 2014–2019. Results suggest that the retrieved AOD with the new algorithm exhibits good agreement with the ground-based measured AOD (R2 = 0.920), and 81.63% of the AODs fall within the expected error line with a root-mean-square error of 0.112. Moreover, the high-resolution AOD products also successfully identified polluted sources and discrepancy of aerosol loading over different land cover types in two megacities in China, implying its great potential on detecting fine aerosol emission sources over the complex urban area. Such improvement of the new algorithm for retrieving 30 m AOD developed in this study demonstrates its substantial potentials in supporting further studies of air pollution management and human exposure at extra-fine spatial scale. © 2021 Elsevier Ltd
关键词	Air pollution AOD retrieval High resolution Landsat-8 Surface anisotropy
语种	英语
scopus关键词	Air pollution; Mean square error; Optical properties; Aerosol loading; Aerosol optical depth retrieval; Aerosol optical depths; Continuous spaces; High resolution; LANDSAT; Landsat-8; Optical depth retrievals; Surface anisotropy; Urban areas; Aerosols; aerosol; atmospheric pollution; land cover; land surface; Landsat; optical depth; satellite imagery; spatial resolution; surface reflectance; urban area; aerosol; air pollution; algorithm; anisotropy; article; China; human; information retrieval; optical depth; satellite imagery; urban area; Beijing [China]; China; Hubei; Wuhan
来源期刊	ATMOSPHERIC ENVIRONMENT
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/248333
作者单位	School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, 430079, China; College of Geographic Science, Xinyang Normal University, Xinyang, 464000, China; State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, 430079, China; State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China
推荐引用方式 GB/T 7714	Lin H.,Li S.,Xing J.,et al. High resolution aerosol optical depth retrieval over urban areas from Landsat-8 OLI images[J],2021,261.
APA	Lin H.,Li S.,Xing J.,He T.,Yang J.,&Wang Q..(2021).High resolution aerosol optical depth retrieval over urban areas from Landsat-8 OLI images.ATMOSPHERIC ENVIRONMENT,261.
MLA	Lin H.,et al."High resolution aerosol optical depth retrieval over urban areas from Landsat-8 OLI images".ATMOSPHERIC ENVIRONMENT 261(2021).