The DOI matches its Crossref record.
Review of methods of small‐footprint airborne laser scanning for extracting forest inventory data in boreal forests
Abstract
Experiences from Nordic countries and Canada have shown that the retrieval of the stem volume and mean tree height of a tree or at stand level from laser scanner data performs as well as, or better than, photogrammetric methods, and better than other remote sensing methods. This paper reviews the methods of small‐footprint airborne laser scanning for extracting forest inventory data, mainly in the boreal forest zone. The methods are divided into the following categories: extraction of terrain and canopy height model; feature extraction approaches (canopy height distribution and individual‐tree‐based techniques, techniques based on the synergetic use of aerial images and lidar, and other new approaches); tree species classification and forest growth using laser scanner; and the use of intensity and waveform data in forest information extraction. Despite this, the focus is on methods, some review of quality obtained, especially in the boreal forest area, is included. Several recommendations for future research are given to foster the methodology development.
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Cited by
Generating pit-free canopy height models from airborne lidar
Khosravipour, A., Skidmore, A. K., Isenburg, M., Wang, T., & Hussin, Y. A. (2014) · Photogrammetric Engineering & Remote Sensing · doi:10.14358/pers.80.9.863 · Cited by 347
Priority list of biodiversity metrics to observe from space
Skidmore, A. K., Coops, N. C., Neinavaz, E., Ali, A., Schaepman, M. E., Paganini, M., Kissling, W. D., Vihervaara, P., Darvishzadeh, R., Feilhauer, H., et al. (2021) · Nature Ecology & Evolution · doi:10.1038/s41559-021-01451-x · Cited by 278
Linking green infrastructure to urban heat and human health risk mitigation in Oslo, Norway
Venter, Z. S., Krog, N. H., & Barton, D. N. (2020) · Science of The Total Environment · doi:10.1016/j.scitotenv.2019.136193 · Cited by 191
Metadata
- Authors
- Hyyppä, J., Hyyppä, H., Leckie, D., Gougeon, F., Yu, X., & Maltamo, M.
- Venue
- International Journal of Remote Sensing
- Publisher
- Informa UK Limited
- Published
- 2008-02-25
- Volume
- 29
- Issue
- 5
- Pages
- 1339-1366
- ISSN
- 0143-1161 (ISSN-L)
- 1366-5901
- OpenAlex
- W2133160971
- Cited by
- 636
- References
- 0
- FWCI
- 32.15
- Type
- journal article
- Language
- en
- Open access
- closed
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