Preliminary Evaluation of Angular Reflectance Downscaling Using FSDAF Spatiotemporal Fusion Model and MODIS BRDF Data Article Swipe
Liang Man
,
Xingfa Gu
,
Yan Liu
,
Tianhai Cheng
,
Hongtao Cao
,
Hu Zhang
,
Qian Zhang
,
Yaozong Ding
,
Min Gao
,
Xiangqin Wei
,
Yulin Zhan
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1109/jstars.2024.3365826
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1109/jstars.2024.3365826
As the resolution of remote sensing quantitative inversion for albedo, clumping index, canopy height, and other biophysical parameter data is gradually refined, there is an increasing demand for higher spatial resolution bidirectional reflectance distribution function (BRDF) and angular reflectance data. In this article, we applied and evaluated flexible spatiotemporal data fusion to downscale angular reflectance using low-resolution BRDF data (MCD43A1) and high-resolution Sentinel-2 data as inputs. We selected Sentinel-2 orbital overlap regions with various anisotropic flat index (AFX) types and overpassing times as the study area as to obtain angular reflectance data under different anisotropic and solar-viewing geometry conditions. We found that the fusion method can downscale the angular reflectance with high accuracy (root mean square error < 0.04, bias < 0.02). The downscaling accuracy was higher in the cross-principle plane than in the principle plane, whereas there was no significant variation in accuracy under different AFX conditions. Owing to the lack of angular surface reflectance at larger viewing angles, validation was performed only within a view zenith angle of 10.3°. Further validation using satellites with larger viewing angles, such as Gaofen-6 or unmanned aerial vehicles, can be used to evaluate the accuracy of this method. This article presents a strategy for downscaling angular information, preliminary validation results, and satellite-based evidence of scale effects between the 500–10 m scales of the BRDF.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/jstars.2024.3365826
- https://ieeexplore.ieee.org/ielx7/4609443/4609444/10436165.pdf
- OA Status
- gold
- References
- 65
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4391807524
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- OpenAlex ID
-
https://openalex.org/W4391807524Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1109/jstars.2024.3365826Digital Object Identifier
- Title
-
Preliminary Evaluation of Angular Reflectance Downscaling Using FSDAF Spatiotemporal Fusion Model and MODIS BRDF DataWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-01-01Full publication date if available
- Authors
-
Liang Man, Xingfa Gu, Yan Liu, Tianhai Cheng, Hongtao Cao, Hu Zhang, Qian Zhang, Yaozong Ding, Min Gao, Xiangqin Wei, Yulin ZhanList of authors in order
- Landing page
-
https://doi.org/10.1109/jstars.2024.3365826Publisher landing page
- PDF URL
-
https://ieeexplore.ieee.org/ielx7/4609443/4609444/10436165.pdfDirect link to full text PDF
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YesWhether a free full text is available
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-
goldOpen access status per OpenAlex
- OA URL
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https://ieeexplore.ieee.org/ielx7/4609443/4609444/10436165.pdfDirect OA link when available
- Concepts
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Bidirectional reflectance distribution function, Remote sensing, Zenith, Environmental science, Downscaling, Solar zenith angle, Image resolution, Reflectivity, Angular resolution (graph drawing), Optics, Geology, Meteorology, Physics, Mathematics, Precipitation, CombinatoricsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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65Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 11 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/13 |
| sustainable_development_goals[0].score | 0.6200000047683716 |
| sustainable_development_goals[0].display_name | Climate action |
| citation_normalized_percentile.value | 0.02192755 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |