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Cited by 390

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 access
Reutebuch, Stephen E., Andersen, Hans-Erik, McGaughey, Robert J.·2005·Journal of Forestry

Abstract

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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Crossref · 10.1093/jof/103.6.286

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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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CoChat. (2026). Citation check: Light Detection and Ranging (LIDAR): An Emerging Tool for Multiple Resource Inventory. https://app.cochat.ai/papers/10.1093/jof/103.6.286
The paper
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

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.