The uncertainty in conifer plantation growth prediction from multi-temporal lidar datasets
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- 作者：Chris Hopkinson ; Laura Chasmer ; R.J. Hall
- 关键词：Lidar ; Laser scanning ; Red pine ; Canopy height ; Tree growth ; Uncertainty ; Plantation
- 刊名：Remote Sensing of Environment
- 出版年：2008
- 出版时间：18 March 2008
- 年：2008
- 卷：112
- 期：3
- 页码：1168-1180
- 全文大小：1300 K
文摘
An evaluation of the use of airborne lidar for multi-temporal forest height growth assessment in a temperate mature red pine (Pinus resinosa Ait.) plantation over a five-year period is presented. The objective was to evaluate the level of uncertainty in lidar-based growth estimates through time so that the optimal repeat interval necessary for statistically meaningful growth measurements could be evaluated. Four airborne lidar datasets displaying similar survey configuration parameters were collected between 2000 and 2005. Coincident with the 2002 and 2005 acquisitions, field mensuration for 126 trees within 19 plots was carried out. Field measurements of stem height were compared to both coincident plot-level laser pulse return (LPR) height percentile metrics and stand level raster canopy height models (CHM).