The Normalized Difference Vegetation Index and Angular Variation of Surface Spectral Polarized Reflectance Relationships: Improvements on Aerosol Remote Sensing Over Land
Abstract Surface polarized reflectance is related to its optical properties and observation geometry. It disturbs remote sensing of aerosol. In this study, we differentiated the polarized reflectance of a natural surface based on the normalized difference vegetation index and scattering angle, and t...
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American Geophysical Union (AGU)
2019
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Online Access: | https://doi.org/10.1029/2019EA000593 https://doaj.org/article/f59d739c61a24a0c9ed2cb55b6c4bd9b |
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ftdoajarticles:oai:doaj.org/article:f59d739c61a24a0c9ed2cb55b6c4bd9b 2023-05-15T13:05:57+02:00 The Normalized Difference Vegetation Index and Angular Variation of Surface Spectral Polarized Reflectance Relationships: Improvements on Aerosol Remote Sensing Over Land Han Wang Leiku Yang Meiru Zhao Weibing Du Pei Liu Xiaobing Sun 2019-06-01T00:00:00Z https://doi.org/10.1029/2019EA000593 https://doaj.org/article/f59d739c61a24a0c9ed2cb55b6c4bd9b EN eng American Geophysical Union (AGU) https://doi.org/10.1029/2019EA000593 https://doaj.org/toc/2333-5084 2333-5084 doi:10.1029/2019EA000593 https://doaj.org/article/f59d739c61a24a0c9ed2cb55b6c4bd9b Earth and Space Science, Vol 6, Iss 6, Pp 982-989 (2019) aerosol optical depth remote sensing surface polarized reflectance Astronomy QB1-991 Geology QE1-996.5 article 2019 ftdoajarticles https://doi.org/10.1029/2019EA000593 2022-12-31T14:49:12Z Abstract Surface polarized reflectance is related to its optical properties and observation geometry. It disturbs remote sensing of aerosol. In this study, we differentiated the polarized reflectance of a natural surface based on the normalized difference vegetation index and scattering angle, and the interband correlation coefficients were generally higher than that without differentiation. The spectral relationship was determined based on normalized difference vegetation index and scattering angle and then employed for aerosol retrieval from polarization and anisotropy of reflectances for atmospheric sciences coupled with observations from a lidar measurements. The retrieved aerosol optical depths (AODs) were contrasted with Aerosol Robotic Network results. The correlation coefficient between the retrieved and Aerosol Robotic Network AODs increased from 0.723 to 0.836, and the root‐mean‐square error reduced from 0.348 to 0.245 after considering the differentiated relationship. Thus, the accuracy of the retrieved AOD values was improved. Article in Journal/Newspaper Aerosol Robotic Network Directory of Open Access Journals: DOAJ Articles Earth and Space Science 6 6 982 989 |
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Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
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ftdoajarticles |
language |
English |
topic |
aerosol optical depth remote sensing surface polarized reflectance Astronomy QB1-991 Geology QE1-996.5 |
spellingShingle |
aerosol optical depth remote sensing surface polarized reflectance Astronomy QB1-991 Geology QE1-996.5 Han Wang Leiku Yang Meiru Zhao Weibing Du Pei Liu Xiaobing Sun The Normalized Difference Vegetation Index and Angular Variation of Surface Spectral Polarized Reflectance Relationships: Improvements on Aerosol Remote Sensing Over Land |
topic_facet |
aerosol optical depth remote sensing surface polarized reflectance Astronomy QB1-991 Geology QE1-996.5 |
description |
Abstract Surface polarized reflectance is related to its optical properties and observation geometry. It disturbs remote sensing of aerosol. In this study, we differentiated the polarized reflectance of a natural surface based on the normalized difference vegetation index and scattering angle, and the interband correlation coefficients were generally higher than that without differentiation. The spectral relationship was determined based on normalized difference vegetation index and scattering angle and then employed for aerosol retrieval from polarization and anisotropy of reflectances for atmospheric sciences coupled with observations from a lidar measurements. The retrieved aerosol optical depths (AODs) were contrasted with Aerosol Robotic Network results. The correlation coefficient between the retrieved and Aerosol Robotic Network AODs increased from 0.723 to 0.836, and the root‐mean‐square error reduced from 0.348 to 0.245 after considering the differentiated relationship. Thus, the accuracy of the retrieved AOD values was improved. |
format |
Article in Journal/Newspaper |
author |
Han Wang Leiku Yang Meiru Zhao Weibing Du Pei Liu Xiaobing Sun |
author_facet |
Han Wang Leiku Yang Meiru Zhao Weibing Du Pei Liu Xiaobing Sun |
author_sort |
Han Wang |
title |
The Normalized Difference Vegetation Index and Angular Variation of Surface Spectral Polarized Reflectance Relationships: Improvements on Aerosol Remote Sensing Over Land |
title_short |
The Normalized Difference Vegetation Index and Angular Variation of Surface Spectral Polarized Reflectance Relationships: Improvements on Aerosol Remote Sensing Over Land |
title_full |
The Normalized Difference Vegetation Index and Angular Variation of Surface Spectral Polarized Reflectance Relationships: Improvements on Aerosol Remote Sensing Over Land |
title_fullStr |
The Normalized Difference Vegetation Index and Angular Variation of Surface Spectral Polarized Reflectance Relationships: Improvements on Aerosol Remote Sensing Over Land |
title_full_unstemmed |
The Normalized Difference Vegetation Index and Angular Variation of Surface Spectral Polarized Reflectance Relationships: Improvements on Aerosol Remote Sensing Over Land |
title_sort |
normalized difference vegetation index and angular variation of surface spectral polarized reflectance relationships: improvements on aerosol remote sensing over land |
publisher |
American Geophysical Union (AGU) |
publishDate |
2019 |
url |
https://doi.org/10.1029/2019EA000593 https://doaj.org/article/f59d739c61a24a0c9ed2cb55b6c4bd9b |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
Earth and Space Science, Vol 6, Iss 6, Pp 982-989 (2019) |
op_relation |
https://doi.org/10.1029/2019EA000593 https://doaj.org/toc/2333-5084 2333-5084 doi:10.1029/2019EA000593 https://doaj.org/article/f59d739c61a24a0c9ed2cb55b6c4bd9b |
op_doi |
https://doi.org/10.1029/2019EA000593 |
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Earth and Space Science |
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6 |
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6 |
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982 |
op_container_end_page |
989 |
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1766398343916814336 |