Comparative analysis of urban wetland classification from multispectral, hyperspectral, and fused satellite imagery
Abstract
Protection and inventory of current wetlands is important for critical habitats,
education, recreation, flood control, and storm water filtration. Over the years, the
United States has lost over one-half of its wetlands due to natural processes and urban
development. Satellite imagery was used to test the possibility of accurately mapping
existing wetlands located in a subset study site along the confluence of the Missouri
River and the Blue River in Kansas City, Missouri, following the National Wetlands
Inventory (NWI) classification scheme. Testing was performed using hyperspectral
(Hyperion) and higher spatial resolution multispectral (SPOT 5) imagery. Additionally,
testing was performed by fusing the hyperspectral with multispectral imagery. Results
indicated that the fused imagery produced a classified landscape with higher overall
accuracy, as well as increased accuracy within the individual wetland classes. These results are significant because they indicate the possibility of an inexpensive, accurate
approach for classifying wetlands to obtain metrics for wetlands within even larger study
areas.
Table of Contents
Introduction -- Literature review -- Study site -- Methodology -- Results -- Summary and conclusion -- Appendix A. Accuracy assessment tables -- Appendix B. Land cover classification maps
Degree
M.S.