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Discrete return lidar in natural resources: Recommendations for project planning, data processing, and deliverablesAuthor(s): Jeffrey S. Evans; Andrew T. Hudak; Russ Faux; Alistair M. S. Smith
Source: Remote Sensing. 1: 776-794.
Publication Series: Scientific Journal (JRNL)
Station: Rocky Mountain Research Station
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DescriptionRecent years have seen the progression of light detection and ranging (lidar) from the realm of research to operational use in natural resource management. Numerous government agencies, private industries, and public/private stakeholder consortiums are planning or have recently acquired large-scale acquisitions, and a national U.S. lidar acquisition is likely before 2020. Before it is feasible for land managers to integrate lidar into decision making, resource assessment, or monitoring across the gambit of natural resource applications, consistent standards in project planning, data processing, and user-driven products are required. This paper introduces principal lidar acquisition parameters, and makes recommendations for project planning, processing, and product standards to better serve natural resource managers across multiple disciplines.
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CitationEvans, Jeffrey S.; Hudak, Andrew T.; Faux, Russ; Smith, Alistair M. S. 2009. Discrete return lidar in natural resources: Recommendations for project planning, data processing, and deliverables. Remote Sensing. 1: 776-794.
Keywordslidar, remote sensing, standards, processing, natural resources, forestry
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