Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/65479
Title: Landsat 8-based inversion methods for aerosol optical depths in the Beijing area
Authors: Ou, Y
Chen, F
Zhao, W
Yan, X
Zhang, Q
Keywords: 6S
Aerosol
Beijing
Landsat-8 satellite
MODIS dark target method
Issue Date: 2017
Publisher: Elsevier
Source: Atmospheric pollution research, 2017, v. 8, no. 2, p. 267-274 How to cite?
Journal: Atmospheric pollution research 
Abstract: As an essential component of the Earth-atmosphere system, aerosols have important impacts on the atmospheric environment and human health. Based on the data sourced from Landsat 8 satellite images, the goal of this paper is to retrieve aerosol optical depth (AOD) in the Beijing area by means of the MODIS Dark Target (DT) Method and the visible near-infrared (VNIR) atmospheric correction method (ACM), of which the accuracy is verified by observation data from AERONET. Furthermore, analysis was conducted to assess the effects of the two specific inversion methods on AOD values and AOD distribution characteristics in Beijing. The results indicate the following: 1) both the DT method and the VNIR method can be used successfully in the inversion of AOD in Beijing with Landsat 8 satellite data, while the DT method generates a slightly higher accuracy than that of the VNIR method, in which the root mean squared error (RMSE) values are 0.195 and 0.282, respectively; 2) AOD distribution in Beijing is presented with significant regional features, in which the areas with high AOD values were mainly concentrated in six districts (Dongcheng, Xicheng, Chaoyang, Fengtai, Haidian, and Shijingshan) and their surrounding areas. In addition, the AOD values are relatively low in the southwestern and northern regions of Beijing, which was mainly due to minor impacts of human activity and transportation.
URI: http://hdl.handle.net/10397/65479
ISSN: 1309-1042
DOI: 10.1016/j.apr.2016.09.004
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

12
Checked on Aug 21, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.