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dc.contributor.authorEvans, Richard D.
dc.contributor.authorMurray, Kathy L.
dc.contributor.authorField, Stuart N.
dc.contributor.authorMoore, James A. Y.
dc.contributor.authorShedrawi, George
dc.contributor.authorHuntley, Barton G.
dc.contributor.authorFearns, Peter
dc.contributor.authorBroomhall, Mark
dc.contributor.authorMcKinna, Lachlan
dc.contributor.authorMarrable, Daniel
dc.date.accessioned2017-01-30T13:01:07Z
dc.date.available2017-01-30T13:01:07Z
dc.date.created2013-03-27T20:00:56Z
dc.date.issued2012
dc.identifier.citationEvans, Richard D. and Murray, Kathy L. and Field, Stuart N. and Moore, James A. Y. and Shedrawi, George and Huntley, Barton G. and Fearns, Peter et al. 2012. Digitise This! A Quick and Easy Remote Sensing Method to Monitor the Daily Extent of Dredge Plumes. PLoS ONE. 7 (12): e51668..
dc.identifier.urihttp://hdl.handle.net/20.500.11937/27761
dc.identifier.doi10.1371/journal.pone.0051668
dc.description.abstract

Technological advancements in remote sensing and GIS have improved natural resource managers’ abilities to monitor large-scale disturbances. In a time where many processes are heading towards automation, this study has regressed to simple techniques to bridge a gap found in the advancement of technology. The near-daily monitoring of dredge plume extent is common practice using Moderate Resolution Imaging Spectroradiometer (MODIS) imagery and associated algorithms to predict the total suspended solids (TSS) concentration in the surface waters originating from floods and dredge plumes. Unfortunately, these methods cannot determine the difference between dredge plume and benthic features in shallow, clear water. This case study at Barrow Island, Western Australia, uses hand digitising to demonstrate the ability of human interpretation to determine this difference with a level of confidence and compares the method to contemporary TSS methods. Hand digitising was quick, cheap and required very little training of staff to complete. Results of ANOSIM R statistics show remote sensing derived TSS provided similar spatial results if they were thresholded to at least 3 mg L-1. However, remote sensing derived TSS consistently provided false-positive readings of shallow benthic features as Plume with a threshold up to TSS of 6 mg L-1, and began providing false-negatives (excluding actual plume) at a threshold as low as 4 mg L-1. Semi-automated processes that estimate plume concentration and distinguish between plumes and shallow benthic features without the arbitrary nature of human interpretation would be preferred as a plume monitoring method. However, at this stage, the hand digitising method is very useful and is more accurate at determining plume boundaries over shallow benthic features and is accessible to all levels of management with basic training.

dc.publisherPublic Library of Science
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleDigitise This! A Quick and Easy Remote Sensing Method to Monitor the Daily Extent of Dredge Plumes
dc.typeJournal Article
dcterms.source.volume7
dcterms.source.number12
dcterms.source.startPage1
dcterms.source.endPage10
dcterms.source.issn19326203
dcterms.source.titlePLoS ONE
curtin.departmentSchool of Science
curtin.accessStatusOpen access


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