Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/43996
DC Field | Value | Language |
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dc.contributor | Department of Land Surveying and Geo-Informatics | - |
dc.creator | Sun, L | - |
dc.creator | Wei, J | - |
dc.creator | Bilal, M | - |
dc.creator | Tian, X | - |
dc.creator | Jia, C | - |
dc.creator | Guo, Y | - |
dc.creator | Mi, X | - |
dc.date.accessioned | 2016-06-07T06:37:35Z | - |
dc.date.available | 2016-06-07T06:37:35Z | - |
dc.identifier.uri | http://hdl.handle.net/10397/43996 | - |
dc.language.iso | en | en_US |
dc.publisher | Molecular Diversity Preservation International (MDPI) | en_US |
dc.rights | © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/). | en_US |
dc.rights | The following publication Sun, L., Wei, J., Bilal, M., Tian, X., Jia, C., Guo, Y., & Mi, X. (2016). Aerosol optical depth retrieval over bright areas using Landsat 8 OLI images. Remote Sensing, 8(1), (Suppl. ), - is available athttps://dx.doi.org/10.3390/rs8010023 | en_US |
dc.subject | AERONET | en_US |
dc.subject | AOD | en_US |
dc.subject | Bright surfaces | en_US |
dc.subject | Landsat 8 OLI | en_US |
dc.subject | MOD04 | en_US |
dc.title | Aerosol optical depth retrieval over bright areas using Landsat 8 OLI images | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.volume | 8 | - |
dc.identifier.issue | 1 | - |
dc.identifier.doi | 10.3390/rs8010023 | - |
dcterms.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. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Remote sensing, Jan. 2016, v. 8, no. 1, p. 1-14 | - |
dcterms.isPartOf | Remote sensing | - |
dcterms.issued | 2016 | - |
dc.identifier.scopus | 2-s2.0-84957871626 | - |
dc.identifier.eissn | 2072-4292 | - |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_IR/PIRA | en_US |
dc.description.pubStatus | Published | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
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Sun_Aerosol_Optical_Depth.pdf | 7.04 MB | Adobe PDF | View/Open |
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