Abstract
Statistical modelling of the correct detection and false alarm probabilities has been implemented to identify dominant (needle-leaved or broadleaved) tree species through laser sensing in the UV and NIR spectral bands. It is shown that the laser method of monitoring at 355 nm and 2100 nm wavelengths allows sensing dominant needle-leaved or broadleaved tree species with a probability of correct detection close to one and a probability of false alarm ~ second decimal places. The laser method using two eye-safe sensing wavelengths in the UV and NIR spectral bands can be used for airborne forest monitoring.
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