Literature DB >> 32021701

Evaluation of Landsat-8 and Sentinel-2A aerosol optical depth retrievals across Chinese cities and implications for medium spatial resolution urban aerosol monitoring.

Zhongbin Li1, David P Roy2, Hankui K Zhang1, Eric F Vermote3, Haiyan Huang1.   

Abstract

In urban environments, aerosol distributions may change rapidly due to building and transport infrastructure and human population density variations. The recent availability of medium resolution Landsat-8 and Sentinel-2 satellite data provide the opportunity for aerosol optical depth (AOD) estimation at higher spatial resolution than provided by other satellites. A year of 30 m Landsat-8 and 10 m Sentinel-2A AOD data retrieved using the Land Surface Reflectance Code (LaSRC) were compared with coincident ground-based Aerosol Robotic Network (AERONET) Version 3 AOD data for 20 Chinese cities. Stringent selection criteria were used to select contemporaneous data - only satellite and AERONET data acquired within 10 minutes were considered. The average satellite retrieved AOD over a 1470 m × 1470 m window centered on each AERONET site was derived to capture fine scale urban AOD variations. AERONET Level 1.5 (cloud-screened) and Level 2.0 (cloud-screened and also quality assured) data were considered. For the 20 urban AERONET sites in 2016 there were 106 (Level 1.5) and 67 (Level 2.0) Landsat-8 AERONET AOD contemporaneous data pairs, and 118 (Level 1.5) and 89 (Level 2.0) Sentinel-2A AOD data pairs. The greatest AOD values (>1.5) occurred in Beijing, suggesting that the Chinese capital was one of the most polluted cities in China in 2016. The LaSRC Landsat-8 and Sentinel-2A AOD retrievals agreed well with the AERONET AOD data (linear regression slopes > 0.96; coefficient of determination r2 > 0.90; root mean square deviation < 0.175) and demonstrate that the LaSRC is an effective and applicable medium resolution AOD retrieval algorithm over urban environments. The Sentinel-2A AOD retrievals had better accuracy than the Landsat-8 AOD retrievals, which is consistent with previously published research. The implications of the research and the potential for urban aerosol monitoring by combining the freely available Landsat-8 and Sentinel-2 satellite data are discussed.

Entities:  

Year:  2019        PMID: 32021701      PMCID: PMC6999735          DOI: 10.3390/rs11020122

Source DB:  PubMed          Journal:  Remote Sens (Basel)        ISSN: 2072-4292            Impact factor:   4.848


  11 in total

Review 1.  A satellite view of aerosols in the climate system.

Authors:  Yoram J Kaufman; Didier Tanré; Olivier Boucher
Journal:  Nature       Date:  2002-09-12       Impact factor: 49.962

2.  Validation of a vector version of the 6S radiative transfer code for atmospheric correction of satellite data. Part II. Homogeneous Lambertian and anisotropic surfaces.

Authors:  Svetlana Y Kotchenova; Eric F Vermote
Journal:  Appl Opt       Date:  2007-07-10       Impact factor: 1.980

3.  Elucidating severe urban haze formation in China.

Authors:  Song Guo; Min Hu; Misti L Zamora; Jianfei Peng; Dongjie Shang; Jing Zheng; Zhuofei Du; Zhijun Wu; Min Shao; Limin Zeng; Mario J Molina; Renyi Zhang
Journal:  Proc Natl Acad Sci U S A       Date:  2014-11-24       Impact factor: 11.205

4.  Characteristics of public concern on haze in China and its relationship with air quality in urban areas.

Authors:  Yaling Lu; Yuan Wang; Jian Zuo; Hongqiang Jiang; Dacang Huang; Raufdeen Rameezdeen
Journal:  Sci Total Environ       Date:  2018-05-22       Impact factor: 7.963

5.  Spatial scales of pollution from variable resolution satellite imaging.

Authors:  Alexandra A Chudnovsky; Alex Kostinski; Alexei Lyapustin; Petros Koutrakis
Journal:  Environ Pollut       Date:  2012-09-29       Impact factor: 8.071

6.  Retrieval of aerosol optical properties using MERIS observations: Algorithm and some first results.

Authors:  Linlu Mei; Vladimir Rozanov; Marco Vountas; John P Burrows; Robert C Levy; Wolfhardt Lotz
Journal:  Remote Sens Environ       Date:  2016-12-10       Impact factor: 10.164

7.  Global estimates of ambient fine particulate matter concentrations from satellite-based aerosol optical depth: development and application.

Authors:  Aaron van Donkelaar; Randall V Martin; Michael Brauer; Ralph Kahn; Robert Levy; Carolyn Verduzco; Paul J Villeneuve
Journal:  Environ Health Perspect       Date:  2010-06       Impact factor: 9.031

8.  A New Hybrid Spatio-Temporal Model For Estimating Daily Multi-Year PM2.5 Concentrations Across Northeastern USA Using High Resolution Aerosol Optical Depth Data.

Authors:  Itai Kloog; Alexandra A Chudnovsky; Allan C Just; Francesco Nordio; Petros Koutrakis; Brent A Coull; Alexei Lyapustin; Yujie Wang; Joel Schwartz
Journal:  Atmos Environ (1994)       Date:  2014-07-05       Impact factor: 4.798

9.  Air Pollution in China: Mapping of Concentrations and Sources.

Authors:  Robert A Rohde; Richard A Muller
Journal:  PLoS One       Date:  2015-08-20       Impact factor: 3.240

10.  Fine particulate matter (PM 2.5) in China at a city level.

Authors:  Yan-Lin Zhang; Fang Cao
Journal:  Sci Rep       Date:  2015-10-15       Impact factor: 4.379

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  1 in total

1.  Vegetation expansion in the subnival Hindu Kush Himalaya.

Authors:  Karen Anderson; Dominic Fawcett; Anthony Cugulliere; Sophie Benford; Darren Jones; Ruolin Leng
Journal:  Glob Chang Biol       Date:  2020-01-09       Impact factor: 10.863

  1 in total

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