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.
| Identifer | oai:union.ndltd.org:tamu.edu/oai:repository.tamu.edu:1969.1/ETD-TAMU-2009-12-7302 |
| Date | 2009 December 1900 |
| Creators | Marcell, Wesley Tyler |
| Contributors | Eriksson, Marian, Popescu, Sorin |
| Source Sets | Texas A and M University |
| Language | en_US |
| Detected Language | English |
| Type | Book, Thesis, Electronic Thesis, text |
| Format | application/pdf |
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