The effects of landslide and erosion can be detected and monitored by airborne-based systems, and in particular by satellite using InSAR (interferometry by Synthetic Aperture Radar). The interferogram is applied here as an innovating tool to predict mid and long term effects of landslide and erosion. SAR images are generally found to be contaminated with a special type of highly unordered and chaotic noise pattern termed as speckle noise. When an object is illuminated by a coherent source of radiation and the object has a surface structure that is roughly of the order of the wavelength of the incident radiation, the wave reflected from such a surface consists of contributions from many independent scattering areas. Even though, the research has used them with appropriate sub-techniques improve their efficiency in landslide and erosion detection.
Advanced remote sensing method for landslide modeling and prediction
Lay-Ekuakille A.;Giannoccaro N. I.
2017-01-01
Abstract
The effects of landslide and erosion can be detected and monitored by airborne-based systems, and in particular by satellite using InSAR (interferometry by Synthetic Aperture Radar). The interferogram is applied here as an innovating tool to predict mid and long term effects of landslide and erosion. SAR images are generally found to be contaminated with a special type of highly unordered and chaotic noise pattern termed as speckle noise. When an object is illuminated by a coherent source of radiation and the object has a surface structure that is roughly of the order of the wavelength of the incident radiation, the wave reflected from such a surface consists of contributions from many independent scattering areas. Even though, the research has used them with appropriate sub-techniques improve their efficiency in landslide and erosion detection.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
