Title :
Using L-band SAR images to map coastal wetlands
Author :
Storie, Joni ; Lawson, Andrew ; Storie, Christopher
Author_Institution :
Dept. of Geogr., Univ. of Winnipeg, Winnipeg, MB, Canada
Abstract :
The National Wetland Inventory (NWI) in the USA is required, by congress mandate, to map wetlands every ten years. The last time the wetlands were map was in the mid-1980s using labour intensive, aerial photograph analysis techniques. The goal of this project is to map wetlands, based on the US-FWS NWI coastal wetland classes, in North Carolina using ALOS 10 m polarimetric radar. Wishart unsupervised classification using Cloude decomposition images resulted in 78-94% classification accuracy of four of the ten wetland classes. Images from Freeman-Durden and Touzi decompositions will be incorporated into the classification to achieve good accuracies for the remaining six wetland classes.
Keywords :
geophysical image processing; hydrological techniques; image classification; remote sensing by radar; synthetic aperture radar; ALOS polarimetric radar; Cloude decomposition images; Freeman-Durden decomposition images; L-band SAR images; National Wetland Inventory; North Carolina; Touzi decomposition images; US-FWS NWI coastal wetland classes; USA; Wishart unsupervised classification; aerial photograph analysis techniques; coastal wetland map; Accuracy; L-band; Radar imaging; Scattering; Sea measurements; Synthetic aperture radar;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6351454