An Improved Aerosol Optical Depth Retrieval Algorithm for Multiangle Directional Polarimetric Camera (DPC) Article Swipe
Bangyu Ge
,
Zhengqiang Li
,
Cheng Chen
,
Weizhen Hou
,
Yisong Xie
,
Sifeng Zhu
,
Lili Qie
,
Ying Zhang
,
Kaitao Li
,
Hua Xu
,
Yan Ma
,
Lei Yan
,
Xiaodong Mei
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/rs14164045
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/rs14164045
The DPC is a multiangle sensor that detects atmospheric parameters. However, the retrieval of high-precision and high-spatial-resolution aerosol products from the DPC remains a great challenge due to the ill-posed nature of the problem. Thus, a novel aerosol optical depth (AOD) retrieval algorithm was proposed using visible surface reflectance relationships (VISRRs). The VISRR algorithm accounts for the surface anisotropy and needs neither a shortwave infrared band nor a surface reflectance database that can retrieve AOD over dark and bright land cover. Firstly, moderate-resolution imaging spectroradiometer (MODIS) surface reflectance (MYD09) products were used to derive the preceding surface reflectance relationships (SRRs), which are related to surface types, scattering angle, and normalized difference vegetation index (NDVI). Furthermore, to solve the problem of the NDVI being susceptible to the atmosphere, an innovative method based on an iterative atmospheric correction was proposed to provide a realistic NDVI. The VISRR algorithm was then applied to the thirteen months of DPC multiangle data over the China region. AOD product comparison between the DPC and MODIS showed that they had similar spatial distribution, but the DPC had both high spatial resolution and coverage. The validation between the ground-based sites and the retrieval results showed that the DPC AOD performed best, with a Pearson correlation coefficient (R) of 0.88, a root mean square error (RMSE) of 0.17, and a good fraction (Gfrac) of 62.7%. Then, the uncertainties regarding the AOD products were discussed for future improvements. Our results revealed that the VISRR algorithm is an effective method for retrieving reliable, simultaneously high-spatial-resolution and full-surface-coverage AOD data with good accuracy.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/rs14164045
- https://www.mdpi.com/2072-4292/14/16/4045/pdf?version=1660898413
- OA Status
- gold
- Cited By
- 13
- References
- 89
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4292553296
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- OpenAlex ID
-
https://openalex.org/W4292553296Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/rs14164045Digital Object Identifier
- Title
-
An Improved Aerosol Optical Depth Retrieval Algorithm for Multiangle Directional Polarimetric Camera (DPC)Work title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-08-19Full publication date if available
- Authors
-
Bangyu Ge, Zhengqiang Li, Cheng Chen, Weizhen Hou, Yisong Xie, Sifeng Zhu, Lili Qie, Ying Zhang, Kaitao Li, Hua Xu, Yan Ma, Lei Yan, Xiaodong MeiList of authors in order
- Landing page
-
https://doi.org/10.3390/rs14164045Publisher landing page
- PDF URL
-
https://www.mdpi.com/2072-4292/14/16/4045/pdf?version=1660898413Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2072-4292/14/16/4045/pdf?version=1660898413Direct OA link when available
- Concepts
-
Remote sensing, Bidirectional reflectance distribution function, Aerosol, Normalized Difference Vegetation Index, Atmospheric correction, Mean squared error, Environmental science, Polarimetry, Leaf area index, Reflectivity, Mathematics, Scattering, Meteorology, Geology, Optics, Physics, Statistics, Biology, EcologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
13Total citation count in OpenAlex
- Citations by year (recent)
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2025: 6, 2024: 5, 2023: 1, 2022: 1Per-year citation counts (last 5 years)
- References (count)
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89Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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