Remote sensing image thresholding methods for determining landslide activity

Remote Sensing Image Thresholding for Landslide Motion Detection

Techniques for performing change detection are developed and applied to digital aerial photographs of the Tessina landslide in Italy. Several automatic thresholding algorithms are compared, and a variety of filters are employed to eliminate much of the undesirable residual clutter in the thresholded difference image, mainly as a result of natural vegetation and man-made land cover changes. This...

Image Thresholding for Landslide Detection by Genetic Programming

Detecting landslides and monitoring their activity is of great relevance for natural hazard assessment and disaster prevention in hilly areas. Very high resolution optical satellite data is now becoming available, and to evaluate the potential application of these new images to detect ground surface changes as a result of landsliding, in previous work we developed and applied change detection a...

Remote Sensing for Landslide Investigations: From Research into Practice

Use of Remote Sensing Data for Landslide Change Detection: Montescaglioso Large Landslide (Basilicata, Southern Italy)

Remote sensing techniques have been widely used since the 1990s in landslide research, deploying for this purpose different spatial and spectral resolution imagery. This research includes photo-interpretation and inventory of large landslides, determinant factors analysis, stereo-plotting of movements, and automatic detection by textural analysis. The potential or intrinsic factors of landslide...

Remote Sensing Image Processing

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