Modeling 3D Canopy Structure and Transmitted PAR Using Terrestrial LiDAR
The heterogeneity and 3-dimensional (3D) organization of forest canopy elements is highly linked with the spatial variability of within and below canopy light. Using terrestrial LiDAR we studied the influence of several parameters in efficiently building 3D canopy models, and quantified below canopy...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2017-03-01
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| Series: | Canadian Journal of Remote Sensing |
| Online Access: | http://dx.doi.org/10.1080/07038992.2017.1286937 |
| _version_ | 1797661180180824064 |
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| author | Renato Cifuentes Dimitry Van der Zande Christian Salas Laurent Tits Jamshid Farifteh Pol Coppin |
| author_facet | Renato Cifuentes Dimitry Van der Zande Christian Salas Laurent Tits Jamshid Farifteh Pol Coppin |
| author_sort | Renato Cifuentes |
| collection | DOAJ |
| description | The heterogeneity and 3-dimensional (3D) organization of forest canopy elements is highly linked with the spatial variability of within and below canopy light. Using terrestrial LiDAR we studied the influence of several parameters in efficiently building 3D canopy models, and quantified below canopy light in 2 forest stands using ray-tracing. A voxel-based approach was used for canopy modeling, and a series of forest scenes were built for calculation of simulated structural variables (e.g., leaf area index, canopy openness). Through hypothesis testing, we found that simulated variables were consistent with the observed ones depending on: forest type, voxel size utilized in 3D modeling, and the zenith angle ranges used for calculations. Following below canopy light simulations were performed considering these 3 aspects. On average, estimates of light being transmitted overestimated measured light, and variance in below canopy light was maximum at lower values of measured light. This study presented a method to objectively define 3D modeling parameters for an efficient characterization of canopy structure, allowing to simulate trends in radiation flux transmitted to the forest floor. Improvements in the modeling process and ray-tracing parameterization were suggested. |
| first_indexed | 2024-03-11T18:40:56Z |
| format | Article |
| id | doaj.art-49a977e84cfe4d4ba11a05db8a12bc0c |
| institution | Directory Open Access Journal |
| issn | 1712-7971 |
| language | English |
| last_indexed | 2024-03-11T18:40:56Z |
| publishDate | 2017-03-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Canadian Journal of Remote Sensing |
| spelling | doaj.art-49a977e84cfe4d4ba11a05db8a12bc0c2023-10-12T13:36:21ZengTaylor & Francis GroupCanadian Journal of Remote Sensing1712-79712017-03-0143212413910.1080/07038992.2017.12869371286937Modeling 3D Canopy Structure and Transmitted PAR Using Terrestrial LiDARRenato Cifuentes0Dimitry Van der Zande1Christian Salas2Laurent Tits3Jamshid Farifteh4Pol Coppin5KU Leuven, Division of Crop BiotechnicsDirectorate Natural EnvironmentLaboratorio de Biometría, Universidad de La FronteraFlemish Institute for Technological Research (VITO), Remote Sensing UnitUniversity of TwenteKU Leuven, Division of Crop BiotechnicsThe heterogeneity and 3-dimensional (3D) organization of forest canopy elements is highly linked with the spatial variability of within and below canopy light. Using terrestrial LiDAR we studied the influence of several parameters in efficiently building 3D canopy models, and quantified below canopy light in 2 forest stands using ray-tracing. A voxel-based approach was used for canopy modeling, and a series of forest scenes were built for calculation of simulated structural variables (e.g., leaf area index, canopy openness). Through hypothesis testing, we found that simulated variables were consistent with the observed ones depending on: forest type, voxel size utilized in 3D modeling, and the zenith angle ranges used for calculations. Following below canopy light simulations were performed considering these 3 aspects. On average, estimates of light being transmitted overestimated measured light, and variance in below canopy light was maximum at lower values of measured light. This study presented a method to objectively define 3D modeling parameters for an efficient characterization of canopy structure, allowing to simulate trends in radiation flux transmitted to the forest floor. Improvements in the modeling process and ray-tracing parameterization were suggested.http://dx.doi.org/10.1080/07038992.2017.1286937 |
| spellingShingle | Renato Cifuentes Dimitry Van der Zande Christian Salas Laurent Tits Jamshid Farifteh Pol Coppin Modeling 3D Canopy Structure and Transmitted PAR Using Terrestrial LiDAR Canadian Journal of Remote Sensing |
| title | Modeling 3D Canopy Structure and Transmitted PAR Using Terrestrial LiDAR |
| title_full | Modeling 3D Canopy Structure and Transmitted PAR Using Terrestrial LiDAR |
| title_fullStr | Modeling 3D Canopy Structure and Transmitted PAR Using Terrestrial LiDAR |
| title_full_unstemmed | Modeling 3D Canopy Structure and Transmitted PAR Using Terrestrial LiDAR |
| title_short | Modeling 3D Canopy Structure and Transmitted PAR Using Terrestrial LiDAR |
| title_sort | modeling 3d canopy structure and transmitted par using terrestrial lidar |
| url | http://dx.doi.org/10.1080/07038992.2017.1286937 |
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