Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/7734
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dc.contributor.authorGilvear, David-
dc.contributor.authorTyler, Andrew-
dc.contributor.authorDavids, Corine-
dc.date.accessioned2012-08-30T14:13:29Z-
dc.date.issued2004-11-
dc.identifier.urihttp://hdl.handle.net/1893/7734-
dc.description.abstractHigh spatial resolution hyper-spectral imagery (CASI) and light detection and ranging (LiDAR) imagery acquired for the tidal River Carron and Forth estuary, Scotland, were used in conjunction with field surveys to assess the feasibility of monitoring hydromorphology and human alterations with satellite and airborne remote sensing data. The study was undertaken in the context of the European Union Water Framework Directive (WFD) that requires member states to monitor hydromorphological elements as a component of the ecological status of rivers, estuaries and shorelines. Visual assessment and automated classifications of the imagery were compared with field survey data for an estuarine reach comprising saline waters, mudflats, a tidal reach of a tributary river and an urban/ industrialised shoreline. The morphology of the estuary and inflowing tidal waters together with most artificial features of interest could be clearly seen in the CASI imagery at 1 m spatial resolution. Supervised classification of the imagery produced an overall accuracy value of 72%. Downgrading the imagery to simulate the spatial resolution of 4 m IKONOS satellite data surprisingly improved the accuracy to 74%. Simulation of 10 m SPOT imagery resulted in an image where many artificial features of interest such as roads, pipelines and jetties were rendered invisible. Adding LiDAR data as an additional data set aided manual and automated identification of features and visualisation of the hydromorphology of the rivers and estuaries in the study area. Shadows cast from tall objects were a feature of the winter imagery and reduced automated classification accuracy. Overall, the study demonstrates that high spatial resolution remotely sensed digital imagery has the potential to be a useful tool for panoptic mapping of the geomorphology and human impact on tidal rivers and estuaries. In the context of the WFD, remote sensing provides a potential way forward for monitoring the physical status of rivers and estuaries at the national scale. The possibilities and constraints, in light of the findings of this study, are discussed.en_UK
dc.language.isoen-
dc.publisherElsevier-
dc.relationGilvear D, Tyler A & Davids C (2004) Detection of estuarine and tidal river hydromorphology using hyper-spectral and LiDAR data: Forth estuary, Scotland, Estuarine, Coastal and Shelf Science, 61 (3), pp. 379-392.-
dc.rightsThe publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.-
dc.subjectairborne remote sensingen_UK
dc.subjectgeomorphologyen_UK
dc.subjectestuariesen_UK
dc.subjectsatellitesen_UK
dc.subjectriversen_UK
dc.subjectriver and coastal engineeringen_UK
dc.titleDetection of estuarine and tidal river hydromorphology using hyper-spectral and LiDAR data: Forth estuary, Scotlanden_UK
dc.typeJournal Articleen_UK
dc.rights.embargodate2999-12-31T00:00:00Z-
dc.rights.embargoreasonThe publisher does not allow this work to be made publicly available in this Repository therefore there is an embargo on the full text of the work.-
dc.identifier.doihttp://dx.doi.org/10.1016/j.ecss.2004.06.007-
dc.citation.jtitleEstuarine, Coastal and Shelf Science-
dc.citation.issn0272-7714-
dc.citation.volume61-
dc.citation.issue3-
dc.citation.spage379-
dc.citation.epage392-
dc.citation.publicationstatusPublished-
dc.citation.peerreviewedRefereed-
dc.type.statusPublisher version (final published refereed version)-
dc.identifier.urlhttp://www.sciencedirect.com/science/article/pii/S0272771404001362-
dc.author.emaila.n.tyler@stir.ac.uk-
dc.citation.date28/08/2004-
dc.contributor.affiliationBiological and Environmental Sciences-
dc.contributor.affiliationBiological and Environmental Sciences-
dc.contributor.affiliationUniversity of Stirling-
dc.rights.embargoterms2999-12-31-
dc.rights.embargoliftdate2999-12-31-
dc.identifier.isi000224867900001-
Appears in Collections:Biological and Environmental Sciences Journal Articles

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