The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Light Detection and Ranging (LIDAR): An Emerging Tool for Multiple Resource Inventory
Open accessAbstract
Airborne laser scanning of forests has been shown to provide accurate terrain models and, at the same time, estimates of multiple resource inventory variables through active sensing of three-dimensional (3D) forest vegetation. Brief overviews of airborne laser scanning technology [often referred to as “light detection and ranging” (LIDAR)] and research findings on its use in forest measurement and monitoring are presented. Currently, many airborne laser scanning missions are flown with specifications designed for terrain mapping, often resulting in data sets that do not contain key information needed for vegetation measurement. Therefore, standards and specifications for airborne laser scanning missions are needed to insure their usefulness for vegetation measurement and monitoring, rather than simply terrain mapping (e.g., delivery of all return data with reflection intensity). Five simple, easily understood LIDAR-derived forest data products are identified that would help insure that forestry needs are considered when multiresource LIDAR missions are flown. Once standards are developed, there is an opportunity to maximize the value of permanent ground plot remeasurements by also collecting airborne laser data over a limited number of plots each year.
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Cites
A General Model for the Origin of Allometric Scaling Laws in Biology
West, G. B., Brown, J. H., & Enquist, B. J. (1997) · Science · doi:10.1126/science.276.5309.122 · Cited by 5,016
Estimating forest canopy fuel parameters using LIDAR data
Andersen, H.-E., McGaughey, R. J., & Reutebuch, S. E. (2005) · Remote Sensing of Environment · doi:10.1016/j.rse.2004.10.013 · Cited by 579
Self-citation
Cited by
Ground Filtering Algorithms for Airborne LiDAR Data: A Review of Critical Issues
Meng, X., Currit, N., & Zhao, K. (2010) · Remote Sensing · doi:10.3390/rs2030833 · Cited by 573
Frazer, G. W., Magnussen, S., Wulder, M. A., & Niemann, K. O. (2011) · Remote Sensing of Environment · doi:10.1016/j.rse.2010.10.008 · Cited by 286
Hamraz, H., Contreras, M. A., & Zhang, J. (2017) · Scientific Reports · doi:10.1038/s41598-017-07200-0 · Cited by 97
Metadata
- Authors
- Reutebuch, S. E., Andersen, H.-E., & McGaughey, R. J.
- Venue
- Journal of Forestry
- Published
- 2005-09-01
- Volume
- 103
- Issue
- 6
- Pages
- 286-292
- ISSN
- 0022-1201 (ISSN-L)
- 1938-3746
- OpenAlex
- W51427204
- Cited by
- 390
- References
- 2
- FWCI
- 11.11
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Reutebuch, S. E., Andersen, H.-E., & McGaughey, R. J. (2005). Light Detection and Ranging (LIDAR): An Emerging Tool for Multiple Resource Inventory. Journal of Forestry. https://doi.org/10.1093/jof/103.6.286
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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