Laser airborne reflection method for remote sensing forest species composition

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...

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Bibliographic Details
Published in:IOP conference series. Materials Science and Engineering 2020-05, Vol.862 (2), p.22003
Main Authors: Belov, M L, Belov, A M, Gorodnichev, V A, Alkov, S V
Format: Article
Language:English
Subjects:
Airborne lasers
Airborne sensing
Band spectra
False alarms
Lasers
Monitoring
Remote sensing
Spectral bands
Statistical analysis
Statistical models
Wavelengths
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Summary: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.
ISSN:1757-8981
1757-899X
DOI:10.1088/1757-899X/862/2/022003