Data acquisition considerations for Terrestrial Laser Scanning of forest plots
The poor constraint of forest Above Ground Biomass (AGB) is responsible, in part, for large uncertainties in modelling future climate scenarios. Terrestrial Laser Scanning (TLS) can be used to derive unbiased and non-destructive estimates of tree structure and volume and can, therefore, be used to a...
| Autores principales: | , , , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Elsevier
2017
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/93888 |
| _version_ | 1855521658496876544 |
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| author | Wilkie, P. Lau, A. Disney, M. Calders, K. Burt, A. Tanago, J.G. de Bartholomeus, H.M. Brede, B. Herold, Martin |
| author_browse | Bartholomeus, H.M. Brede, B. Burt, A. Calders, K. Disney, M. Herold, Martin Lau, A. Tanago, J.G. de Wilkie, P. |
| author_facet | Wilkie, P. Lau, A. Disney, M. Calders, K. Burt, A. Tanago, J.G. de Bartholomeus, H.M. Brede, B. Herold, Martin |
| author_sort | Wilkie, P. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The poor constraint of forest Above Ground Biomass (AGB) is responsible, in part, for large uncertainties in modelling future climate scenarios. Terrestrial Laser Scanning (TLS) can be used to derive unbiased and non-destructive estimates of tree structure and volume and can, therefore, be used to address key uncertainties in forest AGB estimates. Here we review our experience of TLS sampling strategies from 27 campaigns conducted over the past 5 years, across tropical and temperate forest plots, where data was captured with a RIEGL VZ-400 laser scanner. The focus is on strategies to derive Geometrical Modelling metrics (e.g. tree volume) over forest plots (≥1 ha) which require the accurate co-registration of 10s to 100s of individual point clouds. We recommend a 10 m × 10 m sampling grid as an approach to produce a point cloud with a uniform point distribution, that can resolve higher order branches (down to a few cm in diameter) towards the top of 30+ m canopies and can be captured in a timely fashion i.e. ∼3–6 days per ha. A data acquisition protocol, such as presented here, would facilitate data interoperability and inter-comparison of metrics between instruments/groups, from plot to plot and over time. |
| format | Journal Article |
| id | CGSpace93888 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2017 |
| publishDateRange | 2017 |
| publishDateSort | 2017 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | CGSpace938882025-06-17T08:23:33Z Data acquisition considerations for Terrestrial Laser Scanning of forest plots Wilkie, P. Lau, A. Disney, M. Calders, K. Burt, A. Tanago, J.G. de Bartholomeus, H.M. Brede, B. Herold, Martin above-ground biomass forests data collection trees The poor constraint of forest Above Ground Biomass (AGB) is responsible, in part, for large uncertainties in modelling future climate scenarios. Terrestrial Laser Scanning (TLS) can be used to derive unbiased and non-destructive estimates of tree structure and volume and can, therefore, be used to address key uncertainties in forest AGB estimates. Here we review our experience of TLS sampling strategies from 27 campaigns conducted over the past 5 years, across tropical and temperate forest plots, where data was captured with a RIEGL VZ-400 laser scanner. The focus is on strategies to derive Geometrical Modelling metrics (e.g. tree volume) over forest plots (≥1 ha) which require the accurate co-registration of 10s to 100s of individual point clouds. We recommend a 10 m × 10 m sampling grid as an approach to produce a point cloud with a uniform point distribution, that can resolve higher order branches (down to a few cm in diameter) towards the top of 30+ m canopies and can be captured in a timely fashion i.e. ∼3–6 days per ha. A data acquisition protocol, such as presented here, would facilitate data interoperability and inter-comparison of metrics between instruments/groups, from plot to plot and over time. 2017-07 2018-07-03T10:56:35Z 2018-07-03T10:56:35Z Journal Article https://hdl.handle.net/10568/93888 en Open Access Elsevier Wilkie, P., Lau, A., Disney, M., Calders, K., Burt, A., de Tanago, J.G., Bartholomeus, H., Brede, B., Herold, M.. 2017. Data acquisition considerations for Terrestrial Laser Scanning of forest plots Remote Sensing of Environment, 196 : 140-153. https://doi.org/10.1016/j.rse.2017.04.030 |
| spellingShingle | above-ground biomass forests data collection trees Wilkie, P. Lau, A. Disney, M. Calders, K. Burt, A. Tanago, J.G. de Bartholomeus, H.M. Brede, B. Herold, Martin Data acquisition considerations for Terrestrial Laser Scanning of forest plots |
| title | Data acquisition considerations for Terrestrial Laser Scanning of forest plots |
| title_full | Data acquisition considerations for Terrestrial Laser Scanning of forest plots |
| title_fullStr | Data acquisition considerations for Terrestrial Laser Scanning of forest plots |
| title_full_unstemmed | Data acquisition considerations for Terrestrial Laser Scanning of forest plots |
| title_short | Data acquisition considerations for Terrestrial Laser Scanning of forest plots |
| title_sort | data acquisition considerations for terrestrial laser scanning of forest plots |
| topic | above-ground biomass forests data collection trees |
| url | https://hdl.handle.net/10568/93888 |
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