Web of Science: 3 cites, Scopus: 3 cites, Google Scholar: cites
PLC-C : an integrated method for Sentinel-2 topographic and angular normalization
Yin, Gaofei (Centre de Recerca Ecològica i d'Aplicacions Forestals)
Li, Jing (Chinese Academy of Sciences. Institute of Remote Sensing and Digital Earth)
Xu, Baodong (Huazhong Agricultural University. Macro Agriculture Research Institute)
Zeng, Yelu (Carnegie Institution. Department of Global Ecology for Science)
Wu, Shengbiao (Chinese Academy of Sciences. Institute of Remote Sensing and Digital Earth)
Yan, Kai (China University of Geosciences. School of Land Science and Techniques)
Verger, Aleixandre (Centre de Recerca Ecològica i d'Aplicacions Forestals)
Liu, Guoxiang (Southwest Jiaotong University. Faculty of Geosciences and Environmental Engineering)

Data: 2021
Resum: Topographic and angular corrections on Sentinel-2 imagery are crucial for the generation of consistent surface reflectance. We propose a novel topographic-angular integrated normalization approach based on the combination of the path length correction (PLC) and C-factor approaches. The PLC-C normalization approach is a semiphysical method with limited use of auxiliary data: only a digital elevation model and a fixed set of kernel coefficients, ensuring its transferability for operational implementation. For the validation, we used two Sentinel-2A images over a mountainous area observed in backward (BS) and forward scattering (FS) directions from laterally adjacent orbit swaths. PLC-C significantly reduced both the topographic and directional anisotropy effects: the overlapping ratio between BS and FS observations was increased from 84. 1% to 92. 8% for the near-infrared band, and from 81. 0% to 93. 1% for the red band; the coefficient of variation of the reflectances across different aspects, which was used as a criterion of topographic effects, was reduced from 9. 8%/12. 2% to 3. 6%/5. 7% in BS/FS direction for the near-infrared band, and from 8. 1%/9. 7% to 4. 5%/4. 2% for the red band. PLC-C will contribute to the generation of analysis ready data from Sentinel-2 top of canopy reflectance.
Ajuts: European Commission 835541
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Llengua: Anglès
Document: Article ; recerca ; Versió acceptada per publicar
Matèria: Angular normalization ; Bidirectional reflectance distribution function ; Consistent surface reflectance ; Sentinel-2 ; Topographic normalization
Publicat a: IEEE Geoscience and Remote Sensing Letters, Vol. 18, issue 8 (August 2021) , p. 1446-1450, ISSN 1558-0571

DOI: 10.1109/LGRS.2020.3001905


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Documents de recerca > Documents dels grups de recerca de la UAB > Centres i grups de recerca (producció científica) > Ciències > CREAF (Centre de Recerca Ecològica i d'Aplicacions Forestals)
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 Registre creat el 2024-08-21, darrera modificació el 2026-02-10



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