{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T01:51:35Z","timestamp":1760233895534,"version":"build-2065373602"},"reference-count":44,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2021,3,1]],"date-time":"2021-03-01T00:00:00Z","timestamp":1614556800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41971324"],"award-info":[{"award-number":["41971324"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Aerosol distribution with fine spatial resolution is crucial for atmospheric environmental management. This paper proposes an improved algorithm of aerosol retrieval from 250-m Medium Resolution Spectral Image (MERSI) data of Chinese FY-3 satellites. A mixing model of soil and vegetation was used to calculate the parameters of the algorithm from moderate-resolution imaging spectroradiometer (MODIS) reflectance products in 500-m resolution. The mixing model was used to determine surface reflectance in blue band, and the 250-m aerosol optical depth (AOD) was retrieved through removing surface contributions from MERSI data over Guangzhou. The algorithm was used to monitor two pollution episodes in Guangzhou in 2015, and the results displayed an AOD spatial distribution with 250-m resolution. Compared with the yearly average of MODIS aerosol products in 2015, the 250-m resolution AOD derived from the MERSI data exhibited great potential for identifying air pollution sources. Daily AODs derived from MERSI data were compared with ground results from CE318 measurements. The results revealed a correlation coefficient between the AODs from MERSI and those from the ground measurements of approximately 0.85, and approximately 68% results were within expected error range of \u00b1(0.05 + 15%\u03c4).<\/jats:p>","DOI":"10.3390\/rs13050920","type":"journal-article","created":{"date-parts":[[2021,3,1]],"date-time":"2021-03-01T22:02:20Z","timestamp":1614636140000},"page":"920","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["250-m Aerosol Retrieval from FY-3 Satellite in Guangzhou"],"prefix":"10.3390","volume":"13","author":[{"given":"Zhongting","family":"Wang","sequence":"first","affiliation":[{"name":"Center for Satellite Application on Ecology and Environment, Ministry of Ecology and Environment, Beijing 100006, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4560-2000","authenticated-orcid":false,"given":"Ruru","family":"Deng","sequence":"additional","affiliation":[{"name":"School of Geographic Science and Planning, Sun Yat-Sen University, Guangzhou 510275, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pengfei","family":"Ma","sequence":"additional","affiliation":[{"name":"Center for Satellite Application on Ecology and Environment, Ministry of Ecology and Environment, Beijing 100006, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuhuan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Center for Satellite Application on Ecology and Environment, Ministry of Ecology and Environment, Beijing 100006, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yeheng","family":"Liang","sequence":"additional","affiliation":[{"name":"School of Geographic Science and Planning, Sun Yat-Sen University, Guangzhou 510275, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hui","family":"Chen","sequence":"additional","affiliation":[{"name":"Center for Satellite Application on Ecology and Environment, Ministry of Ecology and Environment, Beijing 100006, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shaohua","family":"Zhao","sequence":"additional","affiliation":[{"name":"Center for Satellite Application on Ecology and Environment, Ministry of Ecology and Environment, Beijing 100006, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liangfu","family":"Chen","sequence":"additional","affiliation":[{"name":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100864, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,3,1]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"513","DOI":"10.1029\/1999RG000078","article-title":"Estimates of the direct and indirect radiative forcing due to tropospheric aerosols: A review","volume":"38","author":"Haywood","year":"2000","journal-title":"Rev. Geophys."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1038\/nature01091","article-title":"A satellite view of aerosols in the climate system","volume":"419","author":"Kaufman","year":"2002","journal-title":"Nature"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Alvarez-Mendoza, C.I., Teodoro, A.C., Torres, N., and Vivanco, V. (2019). Assessment of Remote Sensing Data to Model PM10 Estimation in Cities with a Low Number of Air Quality Stations: A Case of Study in Quito, Ecuador. Environments, 6.","DOI":"10.3390\/environments6070085"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"17051","DOI":"10.1029\/96JD03988","article-title":"Operational remote sensing of tropospheric aerosol over land from EOS moderate resolution imaging spectroradiometer","volume":"102","author":"Kaufman","year":"1997","journal-title":"J. Geophys. Res."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Levy, R.C., Remer, L.A., Mattoo, S., Vermote, E.F., and Kaufman, Y.J. (2007). Second-generation operational algorithm: Retrieval of aerosol properties over land from inversion of Moderate Resolution Imaging Spectroradiometer spectral reflectance. J. Geophys. Res. D Atmos., 112.","DOI":"10.1029\/2006JD007811"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.rse.2013.01.020","article-title":"Retrieval of aerosol optical depth and surface reflectance over land from NOAA AVHRR data","volume":"133","author":"Li","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1016\/j.rse.2016.11.015","article-title":"Retrieval of aerosol optical properties using MERIS observations: Algorithm and some first result","volume":"197","author":"Mei","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"471","DOI":"10.1016\/j.rse.2017.06.036","article-title":"Long-time series aerosol optical depth retrieval from AVHRR data over land in North China and Central Europe","volume":"198","author":"Xue","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"381","DOI":"10.1109\/TGRS.2018.2854743","article-title":"A Dark Target Method for Himawari-8\/AHI Aerosol Retrieval: Application and Validation","volume":"57","author":"Ge","year":"2019","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"2372","DOI":"10.1109\/TGRS.2018.2872914","article-title":"Aerosol retrieval in the autumn and winter from the red and 2.12 \u03bcm bands of MODIS","volume":"57","author":"Wang","year":"2019","journal-title":"Trans. Geosci. Remote Sens."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1016\/j.rse.2004.09.009","article-title":"Using Angular and Spectral Shape Similarity Constraints to Improve MISR Aerosol and Surface Retrievals over Land","volume":"94","author":"Diner","year":"2005","journal-title":"Remote Sens. Environ."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1689","DOI":"10.1016\/j.rse.2007.08.016","article-title":"Correction of aerosol effects on multi-temporal images acquired with constant viewing angles: A Application to Formosat-2 images","volume":"112","author":"Hagolle","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"483","DOI":"10.1080\/01621459.2013.796834","article-title":"A Hierarchical Bayesian Approach for Aerosol Retrieval Using MISR Data","volume":"108","author":"Wang","year":"2013","journal-title":"J. Am. Stat. Assoc."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"130","DOI":"10.1016\/j.rse.2017.04.010","article-title":"Synergy of MODIS and AATSR for better retrieval of aerosol optical depth and land surface directional reflectance","volume":"195","author":"Shi","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Chen, X.F., Li, Z.Q., Zhao, S.H., Yang, L.K., Ma, Y., Liu, L., Li, D.H., Qie, L.L., and Xing, J. (2018). Using the Gaofen-4 geostationary satellite to retrieve aerosols with high spatiotemporal resolution. J. Appl. Remote Sens., 12.","DOI":"10.1117\/1.JRS.12.042606"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"9968","DOI":"10.1002\/2017JD026932","article-title":"Retrieving near-global aerosol loading over land and ocean from AVHRR","volume":"122","author":"Hsu","year":"2017","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"9296","DOI":"10.1002\/jgrd.50712","article-title":"Enhanced deep blue aerosol retrieval algorithm: The second generation","volume":"118","author":"Hsu","year":"2013","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1167","DOI":"10.1109\/JSTARS.2014.2381269","article-title":"A Novel Aerosol Load Index Using MODIS Visible Bands: Applied to South-West Part of Iran","volume":"8","author":"Shams","year":"2015","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1007\/s11430-010-4134-5","article-title":"Aerosol optical depth retrieval by HJ-1\/CCD supported by MODIS surface reflectance data","volume":"53","author":"Sun","year":"2010","journal-title":"Sci. China Earth Sci."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"5484","DOI":"10.1029\/2017JD028116","article-title":"Retrieval of Aerosol Optical Depth from INSAT-3D Imager over Asian Landmass and Adjoining Ocean: Retrieval Uncertainty and Validation","volume":"123","author":"Mishra","year":"2018","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"975","DOI":"10.5194\/amt-4-975-2011","article-title":"Statistically optimized inversion algorithm for enhanced retrieval of aerosol properties from spectral multi-angle polarimetric satellite observations","volume":"4","author":"Dubovik","year":"2011","journal-title":"Atmos. Meas. Tech."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"501","DOI":"10.5194\/amt-5-501-2012","article-title":"Aerosol optical depth and fine-mode fraction retrieval over East Asia using multi-angular total and polarized remote sensing","volume":"5","author":"Cheng","year":"2012","journal-title":"Atmos. Meas. Tech."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"679","DOI":"10.1016\/j.rse.2012.06.021","article-title":"Retrieval of Aerosol Size Distribution from Multi-angle Polarized Measurements Assisted by Intensity Measurements over East China","volume":"124","author":"Wang","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"9838","DOI":"10.1002\/2013JD021411","article-title":"A multiparameter aerosol classification method and its application to retrievals from spaceborne polarimetry","volume":"119","author":"Russell","year":"2014","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"6627","DOI":"10.5194\/amt-11-6627-2018","article-title":"Retrieval of aerosol microphysical and optical properties over land using a multimode approach","volume":"11","author":"Fu","year":"2018","journal-title":"Atmos. Meas. Tech."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Ge, B., Mei, X., Li, Z., Hou, W.Z., Xie, Y.S., Zhang, Y., Xu, H., Li, K.T., and Wei, Y.Y. (2020). An improved algorithm for retrieving high resolution fine-mode aerosol based on polarized satellite data: Application and validation for POLDER-3. Remote Sens. Environ., 247.","DOI":"10.1016\/j.rse.2020.111894"},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Lyapustin, A., Martonchik, J., Wang, Y., Laszlo, I., and Korkin, S. (2011). Multi-Angle Implementation of Atmospheric Correction (MAIAC): Part 1. Radiative Transfer Basis and Look-Up Tables. J. Geophys. Res., 116.","DOI":"10.1029\/2010JD014985"},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Lyapustin, A., Wang, Y., Laszlo, I., Kahn, R., Korkin, S., Remer, L., Levy, R., and Reid, J.S. (2011). MultiAngle Implementation of Atmospheric Correction (MAIAC): Part 2. Aerosol Algorithm. J. Geophys. Res., 116.","DOI":"10.1029\/2010JD014986"},{"key":"ref_29","first-page":"902","article-title":"Monitoring of aerosol optical depth over land surface using CCD camera on HJ-1 satellite","volume":"29","author":"Wang","year":"2009","journal-title":"China Environ. Sci."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Sun, L., Wei, J., Bilal, M., Tian, X.P., Jia, C., Guo, Y.M., and Mi, X.T. (2016). Aerosol Optical Depth Retrieval over Bright Areas Using Landsat 8 OLI Images. Remote Sens., 8.","DOI":"10.3390\/rs8010023"},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Sun, K., Chen, X.L., Zhu, Z.M., and Zhang, T.H. (2017). High Resolution Aerosol Optical Depth Retrieval Using Gaofen-1 WFV Camera Data. Remote Sens., 9.","DOI":"10.3390\/rs9010089"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"5544","DOI":"10.1109\/TGRS.2016.2568246","article-title":"High-Spatial-Resolution Aerosol Optical Properties Retrieval Algorithm Using Chinese High-Resolution Earth Observation Satellite I","volume":"54","author":"Bao","year":"2016","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1016\/j.rse.2016.04.008","article-title":"Preliminary analysis of the performance of the Landsat 8\/OLI land surface reflectance product","volume":"185","author":"Vermote","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"von Hoyningen-Huene, W., Freitag, M., and Burrows, J.B. (2003). Retrieval of aerosol optical thickness over land surfaces from top-of-atmosphere radiance. J. Geophys. Res., 108.","DOI":"10.1029\/2001JD002018"},{"key":"ref_35","first-page":"501","article-title":"FY-3A: The New Generation Polar-Orbiting Meteorological Satellite China","volume":"67","author":"Yang","year":"2009","journal-title":"Acta Meteorol. Sin."},{"key":"ref_36","first-page":"6","article-title":"Overview FY-3Payload Ground Application System","volume":"4","author":"Yang","year":"2013","journal-title":"Meteorol. Sci. Technol."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"2989","DOI":"10.5194\/amt-6-2989-2013","article-title":"The Collection 6 MODIS aerosol products over land and ocean","volume":"6","author":"Levy","year":"2013","journal-title":"Atmos. Meas. Tech."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"3587","DOI":"10.1364\/AO.18.003587","article-title":"Atmospheric modeling for space measurements of ground reflectances, including bidirectional properties","volume":"18","author":"Herman","year":"1979","journal-title":"Appl. Opt."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"6762","DOI":"10.1364\/AO.45.006762","article-title":"Validation of a Vector Version of the 6S Radiative Transfer Code for Atmospheric Correction of Satellite Data. Part I: Path radiance","volume":"45","author":"Kotchenova","year":"2006","journal-title":"Appl. Opt."},{"key":"ref_40","first-page":"150","article-title":"Cloud detection on HJ-1B data based on multispectral analysis","volume":"38","author":"Han","year":"2013","journal-title":"Sci. Surv. Mapp."},{"key":"ref_41","first-page":"1021","article-title":"Remote sensing estimation of aerosol composition and radiative effects in haze days","volume":"17","author":"Wei","year":"2013","journal-title":"J. Remote Sens."},{"key":"ref_42","first-page":"58","article-title":"Diurnal characteristics of autumn ASD-aerosols over Guangzhou","volume":"58","author":"Tang","year":"2019","journal-title":"Acta Entiarum Nat. Univ. Sunyatseni"},{"key":"ref_43","first-page":"424","article-title":"Analysis of Clear-Sky Aerosol Optical Properties and Source Characteristics in Guangzhou","volume":"34","author":"Xu","year":"2019","journal-title":"Remote Sens. Technol. Appl."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"831","DOI":"10.1175\/1520-0477(1998)079<0831:OPOAAC>2.0.CO;2","article-title":"Optical Properties of Aerosols and Clouds: The Software Package OPAC","volume":"79","author":"Hess","year":"1998","journal-title":"Bull. Am. Meteorol. Soc."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/5\/920\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T05:31:07Z","timestamp":1760160667000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/5\/920"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,3,1]]},"references-count":44,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2021,3]]}},"alternative-id":["rs13050920"],"URL":"https:\/\/doi.org\/10.3390\/rs13050920","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2021,3,1]]}}}