Quantifying changes in tropical wetland vegetation using time series high resolution satellite imagery — ASN Events

Quantifying changes in tropical wetland vegetation using time series high resolution satellite imagery (#200)

Tim Whiteside , Renee Bartolo

The Magela Creek floodplain within Kakadu National Park in northern Australia and its biodiversity are recognised through listing by the Ramsar Convention on Wetlands. The wetlands have been identified as being at risk from a number of sources, chiefly the landscape-scale risks of weeds, feral animals, fire and climate change. In addition, the Magela Creek floodplain is a downstream receiving environment for the Ranger uranium mine. Off-site monitoring of this area will become increasingly important in the years following mine closure and rehabilitation. Vegetation within the wetland is spatially and temporally variable and, therefore, mapping and monitoring wetland vegetation is required at scales that can detect this variability. The vegetation communities within the floodplain were mapped using multispectral WorldView-2 satellite data acquired for the early dry seasons for four consecutive years 2010-2013. The four final maps each consisted of 11 vegetation community classes. Change analysis indicated that for much of the floodplain community change was minimal; however some areas change in community composition each year. Most of the change was attributable to the varying depths and extent of water associated with seasonality and inter-annual rainfall variability, while some change may be attributed to the spread of weeds and to fire disturbance. Mapping the vegetation’s spatial and temporal variation is now an integral to the establishment of an ongoing off-site landscape scale remote sensing monitoring program for the mine.

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