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RISRiparian vegetation classification from airborne laser scanning data with an emphasis on cottonwood trees
be difficult. In this study, small-footprint lidar data were used to differentiate between young, mature, and old cottonwood
trees in the San Pedro River Basin near Benson, Arizona, USA. The lidar data were acquired in June 2003, using the Optech...
Lidar Remote Sensing for Forestry and Terrestrial Applications
. Lidar (light detecting and ranging) is an alternative
remote sensing technology that promises to both increase the accuracy of
biophysical measurements and extend spatial analysis into the third dimension
(z). Lidar sensors directly...
Using airborne lidar to predict leaf area index
Using airborne lidar to predict leaf area index...
Low Arabian dust extinction to backscatter ratio
Using airborne lidar to predict Leaf Area Index in cottonwoodtrees and refine riparian water-use estimates
Estimation of riparian forest structural attributes, such as the Leaf Area Index (LAI), is an important step in identifying
the amount of water use in riparian forest areas. In this study, small-footprint lidar data were used to estimate...