Spectral and spatial information from a novel dual-wavelength full-waveform terrestrial laser scanner for forest ecology

Danson, FM ORCID: https://orcid.org/0000-0002-3984-0432, Schofield, LA and Sasse, F 2018, 'Spectral and spatial information from a novel dual-wavelength full-waveform terrestrial laser scanner for forest ecology' , Interface Focus, 8 (2) .

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Abstract

The Salford Advanced Laser Canopy Analyser (SALCA) is an experimental terrestrial laser scanner designed and built specifically to measure the structural and biophysical properties of forest canopies. SALCA is a pulsed dual-wavelength instrument with co-aligned laser beams recording backscattered energy at 1063 and 1545 nm; it records full-waveform data by sampling the backscattered energy at 1 GHz giving a range resolution of 150 mm. The finest angular sampling resolution is 1 mrad and around 9 million waveforms are recorded over a hemisphere above the tripod-mounted scanner in around 110 minutes. Starting in 2010, data pre-processing and calibration approaches, data analysis, and information extraction methods, were developed and a wide range of field experiments conducted. The overall objective is to exploit the spatial, spectral and temporal characteristics of the data to produce ecologically useful information on forest and woodland canopies including leaf area index, plant area volume density and leaf biomass, and to explore the potential for tree species identification and classification. This paper outlines the key challenges in instrument development, highlights the potential applications for providing new data for forest ecology, and describes new avenues for exploring information-rich data from the next generation of TLS instruments like SALCA.

Item Type: Article
Schools: Schools > School of Environment and Life Sciences > Ecosystems and Environment Research Centre
Journal or Publication Title: Interface Focus
Publisher: The Royal Society
ISSN: 2042-8898
Related URLs:
Funders: National Science Foundation
Depositing User: FM Danson
Date Deposited: 15 Jan 2018 15:34
Last Modified: 15 Feb 2022 22:49
URI: https://usir.salford.ac.uk/id/eprint/44946

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