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Landslide imaging and detection with horizontal-scanning active and passive remote sensing methods: A study of data integration in assessing complex target environment

By: Wooten, R.; Gray, K.; Clark, J.; Mendenhall, M.; Smailbegovic, A.;

2011 / IEEE / 978-1-4577-2201-1

Description

This item was taken from the IEEE Conference ' Landslide imaging and detection with horizontal-scanning active and passive remote sensing methods: A study of data integration in assessing complex target environment ' Landslides are recognized as the number one life-claiming natural disaster worldwide. The Eastern Seaboard of the United States is such a problematic area. We exploit remotely light imaging, detection, and ranging data, as well as sensed hyperspectral image data acquired from a horizontal scanning configuration to gain insights to the drainage, mineralogy, topography, vegetative cover, and anthropogenic elements known to be contributing factors to potential landslide zones.