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  • 标题:The Utility of LIDAR for Recovering Ecological Variables
  • 本地全文:下载
  • 作者:N. Miura ; S. D. Jones
  • 期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • 印刷版ISSN:2194-9042
  • 电子版ISSN:2194-9050
  • 出版年度:2008
  • 卷号:XXXVII-B8
  • 页码:1393-1396
  • 出版社:Copernicus Publications
  • 摘要:The results of an investigation of the utility of LiDAR (Light Detection and Ranging) for recovering ecological variables are detailed. Mean LiDAR intensity and standard deviation of intensity were calculated for the classified groups; First return intensity in Canopy stratum (FRI_C), Last return intensity in Canopy stratum (LRI_C), First return intensity in Ground stratum (FRI_G) and Last return intensity in Ground stratum (LRI_G). These were analyzed and compared to the field derived variables; canopy, grass, leaf and bare- ground cover and the quantity of fallen trees, over twenty five sites in the Barmah Mellewa Forest, Australia. First return intensity did show significant correlations with key ecological data: a high negative correlation (-0.509 P≤ 0.01) was found between mean canopy cover and FRI_C and a high positive correlation (+0.620 P≤ 0.01) between mean grass cover and FRI_C. First return intensity in the ground stratum (FRI_G) was highly correlated with mean canopy cover (+0.580 P≤ 0.01) and fallen trees (log density, +0.698 P≤ 0.01). Mean canopy cover and fallen trees were found to be inversely proportional to the standard deviation of First return intensity in the ground stratum (-0.519 P≤ 0.01 and -0.686 P≤ 0.01 respectively)
  • 关键词:LIDAR; Ecology; Vegetation; Return Intensity; Landscape; Point Cloud
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