Title :
Coastal erosion mapping through intergration of SAR and Landsat TM imagery
Author :
Linlin Ge ; Xiaojing Li ; Fan Wu ; Turner, Ian L.
Author_Institution :
Geosci. & Earth Observing Syst. Group (GEOS), Univ. of New South Wales, Sydney, NSW, Australia
Abstract :
It is important to monitor long-term coastal erosion in countries such as Australia given the majority of our population live in coastal regions. However, ground-based surveys are labour-intensive and involve significant cost when large spatial areas need to monitored. This paper presents a complementary, cost-effective approach for mapping the eroded shoreline, through integrating Landsat multispectral (MS) imagery data and synthetic aperture radar (SAR) imagery data. This integration method overcomes the problem of data shortage associated with using a single data source. Moreover, it can extract the instant land-water interface at sub-pixel resolution. Because the extracted land-water boundaries are dynamic, a tidal model has to be applied to define the high water line. Wavelet transform and linear spectral unmixing are the two major algorithms used for extracting the land-water interface. Several inundated areas are identified at the selected study area along the coast of East Gippsland Basin, Victoria, Australia. Naturally occurring erosion is believed to be the major factor for these inundated areas. Theoretically the extracted shorelines for defining erosion can reach 1m - 2m resolution approximately.
Keywords :
erosion; geophysical image processing; image fusion; oceanographic techniques; radar imaging; remote sensing by radar; synthetic aperture radar; tides; Australia; East Gippsland basin; Landsat TM imagery; Landsat imagery fusion; SAR imagery data; SAR imagery fusion; Victoria; coastal erosion mapping; coastal regions; cost-effective approach Landsat multispectral imagery data; ground-based surveys; land-water interface; sub-pixel resolution; synthetic aperture radar; tidal model; Abstracts; Earth; Educational institutions; Image resolution; Remote sensing; Satellites; Sea measurements; Landsat TM; SAR imagery; coastal erosion mapping; linear spectral unmixing; shoreline extraction; sub-pixel technique;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4799-1114-1
DOI :
10.1109/IGARSS.2013.6723269