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On using discrete return LIDAR distributions as a proxy for waveform LIDAR signals when modeling vegetation structure

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dc.contributor.author Van Aardt, JAN
dc.contributor.author Wu, J
dc.contributor.author McGlinchy, J
dc.contributor.author Wessels, Konrad J
dc.contributor.author Mathieu, Renaud SA
dc.contributor.author Kennedy Bowdoin, T
dc.contributor.author Knapp, DE
dc.contributor.author Asner, GP
dc.date.accessioned 2013-02-21T05:34:04Z
dc.date.available 2013-02-21T05:34:04Z
dc.date.issued 2012-07
dc.identifier.citation Van Aardt, JAN, Wu, J, McGlinchy, J, Wessels, K.J., Mathieu, R, Kennedy Bowdoin, T, Knapp, DE and Asner, GP. 2012. On using discrete return LIDAR distributions as a proxy for waveform LIDAR signals when modeling vegetation structure. In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Munich, Germany, 22-27 July 2012 en_US
dc.identifier.uri http://www.igarss2012.org/Papers/ViewPapers_MS.asp?PaperNum=4156
dc.identifier.uri http://hdl.handle.net/10204/6565
dc.description IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Munich, Germany, 22-27 July 2012. Published in IGARSS 2012. en_US
dc.description.abstract The goals of the study were to (i) determine if there is a direct relationship between waveform LiDAR intensity-by-height and discrete return frequency-by-height (do the distributions match?) and (ii) assess the impact of scale (does this relationship vary by the area used for signal integration?). Results have significant implications in terms of a cost-benefit analysis: The use of a discrete return instead of a waveform system leads to a reduction in cost, data volume, signal complexity, and processing requirements. en_US
dc.language.iso en en_US
dc.publisher IGARSS 2012 en_US
dc.relation.ispartofseries Workflow: 9582
dc.subject LIDAR distributions en_US
dc.subject Remote sensing en_US
dc.subject Geoscience en_US
dc.title On using discrete return LIDAR distributions as a proxy for waveform LIDAR signals when modeling vegetation structure en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Van Aardt, J., Wu, J., McGlinchy, J., Wessels, K. J., Mathieu, R. S., Kennedy Bowdoin, T., ... Asner, G. (2012). On using discrete return LIDAR distributions as a proxy for waveform LIDAR signals when modeling vegetation structure. IGARSS 2012. http://hdl.handle.net/10204/6565 en_ZA
dc.identifier.chicagocitation Van Aardt, JAN, J Wu, J McGlinchy, Konrad J Wessels, Renaud SA Mathieu, T Kennedy Bowdoin, DE Knapp, and GP Asner. "On using discrete return LIDAR distributions as a proxy for waveform LIDAR signals when modeling vegetation structure." (2012): http://hdl.handle.net/10204/6565 en_ZA
dc.identifier.vancouvercitation Van Aardt J, Wu J, McGlinchy J, Wessels KJ, Mathieu RS, Kennedy Bowdoin T, et al, On using discrete return LIDAR distributions as a proxy for waveform LIDAR signals when modeling vegetation structure; IGARSS 2012; 2012. http://hdl.handle.net/10204/6565 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Van Aardt, JAN AU - Wu, J AU - McGlinchy, J AU - Wessels, Konrad J AU - Mathieu, Renaud SA AU - Kennedy Bowdoin, T AU - Knapp, DE AU - Asner, GP AB - The goals of the study were to (i) determine if there is a direct relationship between waveform LiDAR intensity-by-height and discrete return frequency-by-height (do the distributions match?) and (ii) assess the impact of scale (does this relationship vary by the area used for signal integration?). Results have significant implications in terms of a cost-benefit analysis: The use of a discrete return instead of a waveform system leads to a reduction in cost, data volume, signal complexity, and processing requirements. DA - 2012-07 DB - ResearchSpace DP - CSIR KW - LIDAR distributions KW - Remote sensing KW - Geoscience LK - https://researchspace.csir.co.za PY - 2012 T1 - On using discrete return LIDAR distributions as a proxy for waveform LIDAR signals when modeling vegetation structure TI - On using discrete return LIDAR distributions as a proxy for waveform LIDAR signals when modeling vegetation structure UR - http://hdl.handle.net/10204/6565 ER - en_ZA


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