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dc.contributor.authorJung, Jinha
dc.contributor.authorPekin, Burak K.
dc.contributor.authorPijanowski, Bryan C.
dc.date.accessioned2020-09-18T21:26:41Z
dc.date.available2020-09-18T21:26:41Z
dc.date.issued2013
dc.identifier.citation
dc.identifier.issn1939-1404, 2151-1535
dc.identifier.doi10.1109/JSTARS.2013.2253306
dc.identifier.urihttp://hdl.handle.net/20.500.12634/686
dc.description.abstractLight detection and ranging (LIDAR) is a valuable tool for mapping vegetation structure in dense forests. Although several LIDAR-derived metrics have been proposed for characterizing vertical forest structure in previous studies, none of these metrics explicitly measure open space, or vertical gaps, under a forest canopy. We develop new LIDAR metrics that characterize vertical gaps within a forest for use in forestry and forest management applications....
dc.relation.urlhttp://ieeexplore.ieee.org/document/6494343/
dc.rightsCopyright © 2013, IEEE
dc.subjectCOSTA RICA
dc.subjectRAINFORESTS
dc.subjectTECHNOLOGIAL INNOVATIONS
dc.subjectMAPS
dc.subjectMANAGEMENT
dc.titleMapping open space in an old-growth, secondary-growth, and selectively-logged tropical rainforest using discrete return LIDAR
dc.typeArticle
dc.source.journaltitleIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
dc.source.volume6
dc.source.issue6
dc.source.beginpage2453
dc.source.endpage2461
html.description.abstractLight detection and ranging (LIDAR) is a valuable tool for mapping vegetation structure in dense forests. Although several LIDAR-derived metrics have been proposed for characterizing vertical forest structure in previous studies, none of these metrics explicitly measure open space, or vertical gaps, under a forest canopy. We develop new LIDAR metrics that characterize vertical gaps within a forest for use in forestry and forest management applications....


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    Works by SDZWA's Conservation Scientists and co-authors. Includes books, book sections, articles and conference publications and presentations.

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