Accurate solution of the SAIL model by leaf inclination angle calculation based on laser point clouds
The canopy radiative transfer model enables quantitative inversion of vegetation biophysical parameters by rapidly simulating spectral information. However, structural input parameters, such as the leaf inclination angle distribution (LAD), are often set to empirical values in classic models, leadin...
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Taylor & Francis Group
2025-03-01
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| Series: | Geo-spatial Information Science |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/10095020.2024.2311353 |
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| author | Guang Yang Juanxia Qin Lin Wang Shenghui Fang Weihong Li Yang Chen Yan Gong Yuanyong Dian Caige Sun Jin Wang Yebin Chen |
| author_facet | Guang Yang Juanxia Qin Lin Wang Shenghui Fang Weihong Li Yang Chen Yan Gong Yuanyong Dian Caige Sun Jin Wang Yebin Chen |
| author_sort | Guang Yang |
| collection | DOAJ |
| description | The canopy radiative transfer model enables quantitative inversion of vegetation biophysical parameters by rapidly simulating spectral information. However, structural input parameters, such as the leaf inclination angle distribution (LAD), are often set to empirical values in classic models, leading to simulation errors. Laser point cloud technology has developed rapidly in recent years, and the 3D structure of vegetation can be detailed using laser sensors and processing software, providing the necessary conditions for accurate solutions of radiative transfer models of the canopy. However, the mechanisms for improving existing models of canopy radiative transfer by introducing laser point clouds have not yet been theoretically analyzed in detail. In this study, a precise solution was proposed by incorporating the accurate LAD obtained from laser point clouds into the intermediate function of the traditional Scattering by Arbitrarily Inclined Leaves (SAIL) model, which is a widely used multiangle radiative transfer model. The calculation of the leaf inclination angle and the derivation of the improved model were detailed in this paper. Experiments from different observation angles and bands compared the similarity between the actual measured spectra and the simulated spectra for both the traditional SAIL model and the proposed model with accurate structural parameters. The overall similarity of the proposed model with respect to the conventional SAIL model was improved, indicating that introducing laser point clouds improved the simulation accuracy. The proposed model achieved more significant improvements in the blue 450 nm and red 670 nm bands. Moreover, the similarity improvements differed between different angles. Finally, we analyzed the sensitivity of the structural parameters of the SAIL model and the proposed model using local and global sensitivity analysis methods. |
| format | Article |
| id | doaj-art-ff7e8850ccbe43e2b47f6259c2b55aa4 |
| institution | OA Journals |
| issn | 1009-5020 1993-5153 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Geo-spatial Information Science |
| spelling | doaj-art-ff7e8850ccbe43e2b47f6259c2b55aa42025-08-20T02:35:11ZengTaylor & Francis GroupGeo-spatial Information Science1009-50201993-51532025-03-0128272274010.1080/10095020.2024.2311353Accurate solution of the SAIL model by leaf inclination angle calculation based on laser point cloudsGuang Yang0Juanxia Qin1Lin Wang2Shenghui Fang3Weihong Li4Yang Chen5Yan Gong6Yuanyong Dian7Caige Sun8Jin Wang9Yebin Chen10BeiDou Research Institute, Faculty of Engineering, South China Normal University, Foshan, ChinaBeiDou Research Institute, Faculty of Engineering, South China Normal University, Foshan, ChinaSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan, ChinaSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan, ChinaSchool of Geography, South China Normal University, Guangzhou, ChinaBeiDou Research Institute, Faculty of Engineering, South China Normal University, Foshan, ChinaSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan, ChinaCollege of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan, ChinaSchool of Geography, South China Normal University, Guangzhou, ChinaBeiDou Research Institute, Faculty of Engineering, South China Normal University, Foshan, ChinaResearch Institute of Smart City, School of Architecture and Urban Planning, Shenzhen University, Shenzhen, ChinaThe canopy radiative transfer model enables quantitative inversion of vegetation biophysical parameters by rapidly simulating spectral information. However, structural input parameters, such as the leaf inclination angle distribution (LAD), are often set to empirical values in classic models, leading to simulation errors. Laser point cloud technology has developed rapidly in recent years, and the 3D structure of vegetation can be detailed using laser sensors and processing software, providing the necessary conditions for accurate solutions of radiative transfer models of the canopy. However, the mechanisms for improving existing models of canopy radiative transfer by introducing laser point clouds have not yet been theoretically analyzed in detail. In this study, a precise solution was proposed by incorporating the accurate LAD obtained from laser point clouds into the intermediate function of the traditional Scattering by Arbitrarily Inclined Leaves (SAIL) model, which is a widely used multiangle radiative transfer model. The calculation of the leaf inclination angle and the derivation of the improved model were detailed in this paper. Experiments from different observation angles and bands compared the similarity between the actual measured spectra and the simulated spectra for both the traditional SAIL model and the proposed model with accurate structural parameters. The overall similarity of the proposed model with respect to the conventional SAIL model was improved, indicating that introducing laser point clouds improved the simulation accuracy. The proposed model achieved more significant improvements in the blue 450 nm and red 670 nm bands. Moreover, the similarity improvements differed between different angles. Finally, we analyzed the sensitivity of the structural parameters of the SAIL model and the proposed model using local and global sensitivity analysis methods.https://www.tandfonline.com/doi/10.1080/10095020.2024.2311353Scattering by Arbitrarily Inclined Leaves (SAIL) modelleaf inclinationslaser point cloudssensitivity analysis |
| spellingShingle | Guang Yang Juanxia Qin Lin Wang Shenghui Fang Weihong Li Yang Chen Yan Gong Yuanyong Dian Caige Sun Jin Wang Yebin Chen Accurate solution of the SAIL model by leaf inclination angle calculation based on laser point clouds Geo-spatial Information Science Scattering by Arbitrarily Inclined Leaves (SAIL) model leaf inclinations laser point clouds sensitivity analysis |
| title | Accurate solution of the SAIL model by leaf inclination angle calculation based on laser point clouds |
| title_full | Accurate solution of the SAIL model by leaf inclination angle calculation based on laser point clouds |
| title_fullStr | Accurate solution of the SAIL model by leaf inclination angle calculation based on laser point clouds |
| title_full_unstemmed | Accurate solution of the SAIL model by leaf inclination angle calculation based on laser point clouds |
| title_short | Accurate solution of the SAIL model by leaf inclination angle calculation based on laser point clouds |
| title_sort | accurate solution of the sail model by leaf inclination angle calculation based on laser point clouds |
| topic | Scattering by Arbitrarily Inclined Leaves (SAIL) model leaf inclinations laser point clouds sensitivity analysis |
| url | https://www.tandfonline.com/doi/10.1080/10095020.2024.2311353 |
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