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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Published in:Earth and Space Science
Main Authors: Han Wang, Leiku Yang, Meiru Zhao, Weibing Du, Pei Liu, Xiaobing Sun
Format: Article in Journal/Newspaper
Language:English
Published: American Geophysical Union (AGU) 2019
Subjects:
Online Access:https://doi.org/10.1029/2019EA000593
https://doaj.org/article/f59d739c61a24a0c9ed2cb55b6c4bd9b
id ftdoajarticles:oai:doaj.org/article:f59d739c61a24a0c9ed2cb55b6c4bd9b
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spelling 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
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id 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
container_title Earth and Space Science
container_volume 6
container_issue 6
container_start_page 982
op_container_end_page 989
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