Systematic Sampling of Scanning Lidar Swaths

dc.contributor	Eriksson, Marian
dc.contributor	Popescu, Sorin
dc.creator	Marcell, Wesley Tyler
dc.date.accessioned	2011-02-22T22:23:38Z
dc.date.accessioned	2011-02-22T23:44:45Z
dc.date.accessioned	2017-04-07T19:57:50Z
dc.date.available	2011-02-22T22:23:38Z
dc.date.available	2011-02-22T23:44:45Z
dc.date.available	2017-04-07T19:57:50Z
dc.date.created	2009-12
dc.date.issued	2011-02-22
dc.description.abstract	Proof of concept lidar research has, to date, examined wall-to-wall models of forest ecosystems. While these studies have been important for verifying lidars efficacy for forest surveys, complete coverage is likely not the most cost effective means of using lidar as auxiliary data for operational surveys; sampling of some sort being the better alternative. This study examines the effectiveness of sampling with high point-density scanning lidar data and shows that systematic sampling is a better alternative to simple random sampling. It examines the bias and mean squared error of various estimators, and concludes that a linear-trend-based and especially an autocorrelation-assisted variance estimator perform better than the commonly used simple random sampling based-estimator when sampling is systematic.
dc.identifier.uri	http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7302
dc.language.iso	en_US
dc.subject	Lidar
dc.subject	Systematic
dc.subject	Sampling
dc.title	Systematic Sampling of Scanning Lidar Swaths
dc.type	Book
dc.type	Thesis

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