Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/20843
Title: Evaluation of the Range Accuracy and the Radiometric Calibration of Multiple Terrestrial Laser Scanning Instruments for Data Interoperability
Contributor(s): Calders, Kim (author); Disney, Mathias I (author); Armston, John (author); Burt, Andrew (author); Brede, Benjamin (author); Origo, Niall (author); Muir, Jasmine  (author)orcid ; Nightingale, Joanne (author)
Publication Date: 2017
Open Access: Yes
DOI: 10.1109/tgrs.2017.2652721Open Access Link
Handle Link: https://hdl.handle.net/1959.11/20843
Abstract: Terrestrial laser scanning (TLS) data provide 3-D measurements of vegetation structure and have the potential to support the calibration and validation of satellite and airborne sensors. The increasing range of different commercial and scientific TLS instruments holds challenges for data and instrument interoperability. Using data from various TLS sources will be critical to upscale study areas or compare data. In this paper, we provide a general framework to compare the interoperability of TLS instruments. We compare three TLS instruments that are the same make and model, the RIEGL VZ-400. We compare the range accuracy and evaluate the manufacturer's radiometric calibration for the uncalibrated return intensities. Our results show that the range accuracy between instruments is comparable and within the manufacturer's specifications. This means that the spatial XYZ data of different instruments can be combined into a single data set. Our findings demonstrate that radiometric calibration is instrument specific and needs to be carried out for each instrument individually before including reflectanceinformation in TLS analysis. We show that the residuals between the calibrated reflectance panels and the apparent reflectance measured by the instrument are greatest for highest reflectance panels (residuals ranging from 0.058 to 0.312).
Publication Type: Journal Article
Source of Publication: IEEE Transactions on Geoscience and Remote Sensing, 55(5), p. 2716-2724
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Place of Publication: United States of America
ISSN: 1558-0644
0196-2892
Fields of Research (FoR) 2008: 040699 Physical Geography and Environmental Geoscience not elsewhere classified
050199 Ecological Applications not elsewhere classified
109999 Technology not elsewhere classified
Fields of Research (FoR) 2020: 370401 Computational modelling and simulation in earth sciences
Socio-Economic Objective (SEO) 2008: 960505 Ecosystem Assessment and Management of Forest and Woodlands Environments
970105 Expanding Knowledge in the Environmental Sciences
820199 Forestry not elsewhere classified
Socio-Economic Objective (SEO) 2020: 180301 Assessment and management of freshwater ecosystems
280111 Expanding knowledge in the environmental sciences
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article

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