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Reliability of manual assessments in determining the types of vegetation on railway tracks

Nyberg, Roger G.; Yella, Siril; Gupta, Narendra K; Dougherty, Mark

Authors

Roger G. Nyberg

Siril Yella

Narendra K Gupta

Mark Dougherty



Contributors

Jianyong Wang
Editor

Wojciech Cellary
Editor

Dingding Wang
Editor

Hua Wang
Editor

Shu-Ching Chen
Editor

Tao Li
Editor

Yanchun Zhang
Editor

Abstract

Current day vegetation assessments within railway maintenance are (to a large extent) carried out manually. This study has investigated the reliability of such manual assessments by taking three non-domain experts into account. Thirty-five track images under different conditions were acquired for the purpose. For each image, the raters’ were asked to estimate the cover of woody plants, herbs and grass separately (in %) using methods such as aerial canopy cover, aerial foliar cover and sub-plot frequency. Visual estimates of raters’ were recorded and analysis-of-variance tests on the mean cover estimates were investigated to see whether if there were disagreements between the raters’. Intra-correlation coefficient was used to study the differences between the estimates. Results achieved in this work revealed that seven out of the nine analysis-of-variance tests conducted in this study have demonstrated significant difference in the mean estimates of cover

Presentation Conference Type Conference Paper (Published)
Conference Name Web Information Systems Engineering – WISE 2015
Start Date Nov 1, 2015
End Date Nov 3, 2015
Online Publication Date Dec 18, 2015
Publication Date Dec 18, 2015
Deposit Date Nov 2, 2015
Electronic ISSN 1611-3349
Publisher Springer
Peer Reviewed Peer Reviewed
Volume 9419
Pages 391-399
Series Title Lecture Notes in Computer Science
Series Number 9419
Series ISSN 0302-9743
Book Title Web Information Systems Engineering – WISE 2015
ISBN 978-3-319-26186-7
DOI https://doi.org/10.1007/978-3-319-26187-4_37
Keywords Railway maintenance; vegetation; analysis-of-variance tests;
Public URL http://researchrepository.napier.ac.uk/id/eprint/9252
Publisher URL http://dx.doi.org/10.1007/978-3-319-26187-4_37