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A point-cloud classification method to assess biases in tLiDAR-based forest canopy gap fraction estimates
A point-cloud classification method to assess biases in tLiDAR-based forest canopy gap fraction estimates
2016
Romain Rombourg
Eric Casella
Franck Hétroy-Wheeler
H.M. McKay
Keywords:
Forestry
Geography
Agroforestry
Point cloud
Tree canopy
gap fraction
classification methods
Physical geography
Correction
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