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dc.contributor.author Lück-Vogel, Melanie
dc.contributor.author Mbolambi, C
dc.contributor.author Adams, J
dc.contributor.author Rautenbach, K
dc.date.accessioned 2017-07-28T09:36:35Z
dc.date.available 2017-07-28T09:36:35Z
dc.date.issued 2015-04
dc.identifier.citation Lück-Vogel, M., Mbolambi, C., Adams, J. et al. 2015. Mapping coastal & estuarine vegetation using VHR satellite imagery in St Lucia. International CoastGIS Symposium Proceedings, Cape Town, 22 April 2015 en_US
dc.identifier.uri http://hdl.handle.net/10204/9402
dc.description International CoastGIS Symposium Proceedings, Cape Town, 22 April 2015 en_US
dc.description.abstract The iSimangaliso Wetland Park in which the St Lucia estuary is embedded hosts the largest estuarine system in Africa (155 000 Ha). Remote sensing mapping of the composition of the otherwise largely inaccessible estuarine vegetation provides a baseline for understanding and managing of estuarine environments. Within the presented project, we compared ecosystem and land cover classifications for the Greater St Lucia region derived from very high resolution (VHR) multispectral imagery from the RapidEye, WorldView-2 and SPOT-6 sensors with and without the additional use of LiDAR derived topographic data. As ground reference, a GIS-derived wetland classification based on site visits and aerial photos have been used. Results show that accuracies increase with higher spatial resolution, of both, the multispectral as well as the Li-DAR derived topographic data. en_US
dc.language.iso en en_US
dc.relation.ispartofseries Worklist;19149
dc.subject St Lucia en_US
dc.subject Vegetation mapping en_US
dc.subject Remote sensing en_US
dc.subject LIDAR en_US
dc.title Mapping coastal & estuarine vegetation using VHR satellite imagery in St Lucia en_US
dc.type Presentation en_US


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