Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/43996
Title: Aerosol optical depth retrieval over bright areas using Landsat 8 OLI images
Authors: Sun, L
Wei, J
Bilal, M
Tian, X
Jia, C
Guo, Y
Mi, X
Keywords: AERONET
AOD
Bright surfaces
Landsat 8 OLI
MOD04
Issue Date: 2016
Publisher: Molecular Diversity Preservation International (MDPI)
Source: Remote sensing, 2016, v. 8, no. 1, 23 How to cite?
Journal: Remote sensing 
Abstract: Conventional methods for Aerosol Optical Depth (AOD) retrieval are limited to areas with low reflectance such as water or vegetated areas because the satellite signals from the aerosols in these areas are more obvious than those in areas with higher reflectance such as urban and sandy areas. Land Surface Reflectance (LSR) is the key parameter that must be estimated accurately. Most current methods used to estimate AOD are applicable only in areas with low reflectance. It has historically been difficult to estimate the LSR for bright surfaces because of their complex structure and high reflectance. This paper provides a method for estimating LSR for AOD retrieval in bright areas, and the method is applied to AOD retrieval for Landsat 8 Operational Land Imager (OLI) images at 500 m spatial resolution. A LSR database was constructed with the MODerate-resolution Imaging Spectroradiometer (MODIS) surface reflectance product (MOD09A1), and this database was also used to estimate the LSR of Landsat 8 OLI images. The AOD retrieved from the Landsat 8 OLI images was validated using the AOD measurements from four AErosol RObotic NETwork (AERONET) stations located in areas with bright surfaces. The MODIS AOD product (MOD04) was also compared with the retrieved AOD. The results demonstrate that the AOD retrieved with the new algorithm is highly consistent with the AOD derived from ground measurements, and its precision is better than that of MOD04 AOD products over bright areas.
URI: http://hdl.handle.net/10397/43996
EISSN: 2072-4292
DOI: 10.3390/rs8010023
Appears in Collections:Journal/Magazine Article

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

SCOPUSTM   
Citations

16
Last Week
1
Last month
Citations as of Oct 8, 2017

WEB OF SCIENCETM
Citations

14
Last Week
0
Last month
Citations as of Oct 17, 2017

Page view(s)

49
Last Week
0
Last month
Checked on Oct 15, 2017

Google ScholarTM

Check

Altmetric



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