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dc.contributor.authorDaley, James
dc.contributor.authorStout, Justin
dc.contributor.authorCurwen, Graeme
dc.contributor.authorBrooks, Andrew
dc.contributor.authorSpencer, John
dc.date.accessioned2021-05-11T02:18:34Z
dc.date.available2021-05-11T02:18:34Z
dc.date.issued2021
dc.identifier.urihttp://hdl.handle.net/10072/404293
dc.description.abstractGiven the significance of gully erosion as one of the dominant sources of fine sediment and particulate nutrient pollution to the Great Barrier Reef (GBR) Lagoon, there is now a major focus on the remediation of gullies in order to meet the Reef Water quality targets for the GBR Lagoon by 2030 and 2050. To ensure water quality targets are met in the most cost-effective manner, there is an increasing need to identify the individual gullies that are a priority for remediation. The existing one ha presence/absence mapping that has to date been the primary dataset available for prioritising resources in the GBR, cannot provide sufficient detail to enable management prioritisation at the required gully scale. This project addresses this issue by providing a method to enable gullies to be consistently mapped from lidar at four orders of magnitude higher resolution than the previous one ha resolution mapping (i.e. 1 m2). Through this project we have developed methods for mapping and characterising gullies in GBR catchments, which will have wider application in identifying other sediment sources (e.g. stream bank erosion). It provides a repeatable method by which gullies have been mapped across ~5,300 km2 and has produced the largest and most complete inventory of gullies in a subset of the GBR catchment, albeit in areas targeted for having a high concentration of gullies (Table 1). The methods developed in this report map eroded landforms (ELFs) and within these features, actively eroding gullies, across a large spatial area using a one meter-resolution Digital Elevation Model (DEM) derived from air-borne lidar and largely existing tools in ArcGIS. Mapping gullies is not as straight forward as it may seem as there are many “gully like” features in the landscape, and a key aspect of this project was the development of methods to filter the features that are not gullies (including small ephemeral stream channels). Tools developed for the filtering process also provide the means to determine the relative activity of the mapped gullies. These gully activity maps can then be used by managers and researchers to help locate and prioritise gullies for remediation. Of the 5300 km2 mapped in the three catchments, the total area of gullies represents between 0.26% and 1.32% of the landscape, comprising around 26,000 gullies (Table 1). As more lidar data becomes available it will now be feasible to carry out similar mapping at this resolution across large areas.
dc.description.peerreviewedYes
dc.description.sponsorshipReef and Rainforest Research Centre
dc.publisherReef and Rainforest Research Centre Limited
dc.publisher.placeCairns
dc.publisher.urihttps://nesptropical.edu.au/index.php/final-reports-round-5/
dc.subject.fieldofresearchPhysical geography and environmental geoscience
dc.subject.fieldofresearchGeomorphology and earth surface processes
dc.subject.fieldofresearchNatural hazards
dc.subject.fieldofresearchcode3709
dc.subject.fieldofresearchcode370901
dc.subject.fieldofresearchcode370903
dc.titleDevelopment and application of automated tools for high resolution gully mapping and classification from lidar data
dc.typeReport
dc.type.descriptionU1_1 - Public sector
dcterms.bibliographicCitationDaley, J; Stout, J; Curwen, G; Brooks, A; Spencer, J, Development and application of automated tools for high resolution gully mapping and classification from lidar data, 2021
dcterms.licensehttps://creativecommons.org/licenses/by/4.0/
dc.date.updated2021-05-08T00:59:30Z
dc.description.versionVersion of Record (VoR)
gro.rights.copyright© Griffith University, 2021. Development and application of automated tools for high resolution gully mapping and classification from lidar data is licensed by Griffith University for use under a Creative Commons Attribution 4.0 Australia licence. For licence conditions see: https://creativecommons.org/licenses/by/4.0/
gro.hasfulltextFull Text
gro.griffith.authorCurwen, Graeme R.


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