A review of advances in the retrieval of aerosol properties by remote sensing multi-angle technology. (1st January 2021)

• Record Type: Journal Article
• Authors: Si, Yidan; Lu, Qifeng; Zhang, Xingying; Hu, Xiuqing; Wang, Fu; Li, Lei; Gu, Songyan
• Is Part Of: Atmospheric environment. Volume 244(2021)
• Publication Date: 2021-01-01
• Subjects: Aerosol -- Multi-angle remote sensing -- Polarized remote sensing -- Aerosol model -- Surface reflectance; Air -- Pollution -- Periodicals; Air -- Pollution -- Meteorological aspects -- Periodicals; 551.51
• DOI: 10.1016/j.atmosenv.2020.117928
• Languages: English
• ISSNs: 1352-2310

Abstract

Abstract: Using satellite observation data to retrieve atmospheric pollution parameters has become a common technique in the field of remote sensing. Compared with the traditional single-angle and only intensity detection signal loads, multi-angle with/or polarized remote sensing observation instruments provide new ideas for detecting aerosol parameters. Nowadays, multi-angle detection technology and the development of advanced detection loads have become one of the main directions in the field of remote sensing. From the perspective of aerosol characterization from remote sensing measurements, this paper first summarized the information of typical instruments among the development of airborne, space-borne and ground-based detections in various countries. Second, taking the Multi-Angle Imaging SpectraRadiometer (MISR) aboard on Terra, Polarization and Anisotropy of Reflectance for Atmospheric Sciences Coupled with Observations from a LiDAR (PARASOL)/POLDER and Directional Polarized Camera aboard on Gaofen-5 (GF-5/DPC) respectively as representatives of the multi-angle only intensity signal (MAOI, hereafter) and multi-angle polarized signal (MAPS, hereafter), using AERONET/CE-318 as the representative of ground-based remote sensing observations, respectively introduced the current research status of their aerosol characteristics in recent years from three perspectives of data set accuracy evaluation, inversion algorithm improvement and product application. To be specific, 1) the improvements based on MAOI are mainly reflected in the optimization of the aerosol model, and the difficulty lies in how to express the surface contribution by using the empirical orthogonal function. The narrow swath and coarse temporal resolution of MISR determine the rarely popular as MODIS. A higher resolution at 4.4km×4.4 km provide data support for investigating the evolution trends of regional aerosol properties at the regional scale. 2) In addition to establish more approximate aerosol models and acute surface reflectance functions by MAPS, the method of optimal estimation and multi-variate statistical optimal data have been developed to retrieve fine AOD, particle distribution, polarized phase function and etc. Finally, based on the above investigation, it is found that, 1) the planned payloads not only add polarization signal, but also take the importance of multi-spectral into consideration, particularly in near-infrared and short-wave infrared channels, which makes more contributions to improve the retrieval information for coarse particles. 2) The Lookup table-based inversion methods require to refine more appropriate aerosol types and precise surface reflectance relationship, but for the rich information content of hyperspectral load, the inversion efficiency of this method needs to be improved. 3) In addition, the complement of MAOI and MAPS and the fusion of inversion algorithms is also a way to improve the overall inversion accuracy of aerosol characteristics. 4) While improving load performance and enhancing matching inversion algorithms, it is also necessary to vigorously develop calibration techniques for polarized loads, and stable and high-precision calibration coefficients provide the basis for the development of secondary products and the application of tertiary products. 5) domestic MAPS instrument as well as polarization lidar need to be put on the agenda. Highlights: The information of typical instruments among the development of airborne, space-borne and ground-based detections in various countries are summarized. The planned payloads with polarization signal, multi/hyper-spectral are beneficial to coarse particles retrieval. The fusion of multi-inversion algorithms is also a way to improve the overall inversion accuracy of aerosol characteristics. Except for improving the retrieval algorithm, it is also necessary to develop calibration techniques for polarized loads.