The DOI matches its Crossref record; 73 of the 73 references it cites were found in a registry or an index.
The role of LiDAR in sustainable forest management
Open accessAbstract
Forest characterization with light detection and ranging (LiDAR) data has recently garnered much scientific and operational attention. The number of forest inventory attributes that may be directly measured with LiDAR is limited; however, when considered within the context of all the measured and derived attributes required to complete a forest inventory, LiDAR can be a valuable tool in the inventory process. In this paper, we present the status of LiDAR remote sensing of forests, including issues related to instrumentation, data collection, data processing, costs, and attribute estimation. The information needs of sustainable forest management provide the context within which we consider future opportunities for LiDAR and automated data processing. Key words: LiDAR, airborne laser altimetry, forest inventory, height, volume, biomass, update, remote sensing
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Cites
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LiDAR remote sensing of forest structure
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Self-citationICESat's laser measurements of polar ice, atmosphere, ocean, and land
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Cited by
Modelling top height growth and site index using repeated laser scanning data
Socha, J., Pierzchalski, M., Bałazy, R., & Ciesielski, M. (2017) · Forest Ecology and Management · doi:10.1016/j.foreco.2017.09.039 · Cited by 65
Metadata
- Authors
- Wulder, M. A., Bater, C. W., Coops, N. C., Hilker, T., & White, J. C.
- Venue
- The Forestry Chronicle
- Publisher
- Canadian Institute of Forestry
- Published
- 2008-12-01
- Volume
- 84
- Issue
- 6
- Pages
- 807-826
- ISSN
- 0015-7546 (ISSN-L)
- 1499-9315
- OpenAlex
- W2006286431
- Cited by
- 388
- References
- 73
- FWCI
- 11.17
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Wulder, M. A., Bater, C. W., Coops, N. C., Hilker, T., & White, J. C. (2008). The role of LiDAR in sustainable forest management. The Forestry Chronicle. https://doi.org/10.5558/tfc84807-6
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
