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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
2011 / IEEE / 978-1-4577-2201-1
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.
Horizontal Scanning Active Remote Sensing
Horizontal Scanning Passive Remote Sensing
Hyperspectral Image Data
Geophysical Image Processing