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Lookup NU author(s): Dr Rachel GaultonORCiD, Dr Steven Hancock
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
The Salford Advanced Laser Canopy Analyser (SALCA) is a unique dual-wavelength full-waveform terrestrial laser scanner (TLS) designed to measure forest canopies. This article has two principle objectives, first to present the detailed analysis of the radiometric properties of the SALCA instrument, and second, to propose a novel method to calibrate the recorded intensity to apparent reflectance using a neural network approach. The results demonstrate the complexity of the radiometric response to range, reflectance, and laser temperature and show that neural networks can accurately estimate apparent reflectance for both wavelengths (a root mean square error (RMSE) of 0.072 and 0.069 for the 1063 and 1545 nm wavelengths, respectively). The trained network can then be used to calibrate full hemispherical scans in a forest environment, providing new opportunities for quantitative data analysis.
Author(s): Schofield LA, Danson FM, Entwistle NS, Gaulton R, Hancock S
Publication type: Article
Publication status: Published
Journal: Remote Sensing Letters
Year: 2016
Volume: 7
Issue: 4
Pages: 299-308
Print publication date: 01/04/2016
Online publication date: 14/01/2016
Acceptance date: 12/12/2015
Date deposited: 15/01/2016
ISSN (print): 2150-704X
ISSN (electronic): 2150-7058
Publisher: Taylor and Francis
URL: http://dx.doi.org/10.1080/2150704X.2015.1134843
DOI: 10.1080/2150704X.2015.1134843
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