Clawges,
R., Vierling, K., Vierling L., and Rowell E. 2008. The use of airborn lidar to
assess avian species diversity, density, and occurrence in a pine/aspen forest.
Remote Sensing of Environment.
112:2064-2073
In
this article, the authors investigated the utility of LiDAR
data to represent the vegetation structure in a pine/aspen forest of South
Dakota, by correlating LiDAR derived data and field-based data; they also studied the
relationship of vegetation structure indices, obtained from LiDAR, with bird
density and diversity; and third, the authors combined IKONOS and LiDAR data to
select areas containing specific composition and structural vegetation, to
compare bird density of two species of birds. Their results show that the
vegetation indices obtained from LiDAR and the field-based data were significantly
correlated. Also, LiDAR derived vegetation structure indices were positively
correlated to bird species diversity. However, not all category correlations were
statically significant. Finally, their results showed that, while Dark-eye juncos
were associated to stands dominated by pines, Warbling vireos to
aspen-dominated stands. Thus, based on their results, Clawges et al., conclude
that LiDAR is an effective alternative to quantify structural forest
characteristics, and probably even more effective if combined with spectral
data.
In
this article, the authors investigated the utility of LiDAR
data to represent the vegetation structure in a pine/aspen forest of South
Dakota, by correlating LiDAR derived data and field-based data; they also studied the
relationship of vegetation structure indices, obtained from LiDAR, with bird
density and diversity; and third, the authors combined IKONOS and LiDAR data to
select areas containing specific composition and structural vegetation, to
compare bird density of two species of birds. Their results show that the
vegetation indices obtained from LiDAR and the field-based data were significantly
correlated. Also, LiDAR derived vegetation structure indices were positively
correlated to bird species diversity. However, not all category correlations were
statically significant. Finally, their results showed that, while Dark-eye juncos
were associated to stands dominated by pines, Warbling vireos to
aspen-dominated stands. Thus, based on their results, Clawges et al., conclude
that LiDAR is an effective alternative to quantify structural forest
characteristics, and probably even more effective if combined with spectral
data.
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