Rockfall Detection Using Differential Interference Synthetic Radar Technique from Sentinel-1 Satellite Imagery (Case study: Haraz road)


1 MS in GIS, Remote Sensing, Yazd Branch, Islamic Azad University, Yazd, Iran

2 Associate professor, GIS and RS Department, Yazd Branch, Islamic Azad University, Yazd, Iran


Massive material movements are natural geomorphic processes. This process refers to separation and
downward transportation of soil and rock materials under the influence of gravity and causes the transfer of a
large amount of material, such as pebbles. In Iran, the given climate, geology and topography, massive
movements, debris, conditions results in low altitude areas, significant casualties, financial and
environmental damages. Modeling physical processes of rockfall calls for examining the fracture of rocky
elements, dimensional fall or jump, crushing, rotation, or slipping and the final subsidence, regardless of the
volume constraints of rockfall which are defined by their high energy and mobility. Dynamic processes of
rockfalls are overshadowed by spatial and temporal distribution properties, including the disruption
conditions, geometric and mechanical properties of the rock blocks and rocky slopes. One of the most
suitable methods for identification of rockfall phenomenon is using radar interferometry (D-INSAR)
technique. The study examined Haraz road with twelve Sentinel 1 sensor images from March to May 2016.
Then, using an interferometry technique of radar with artificial aperture, the rockfall rate of SAR data related
to Sentinel 1 sensor was measured, obtained in high and low pass modes. In addition, three rockfalls
registered on March 20, 2015, March 31, 2015, and May 10, 2015 were examined in this study. The results
showed that the rockfall times in all three pilot maps of displacement have significant changes compared to
the unchanged times in the images. Using radar satellites and differential interferometry techniques, one can
detect the amount of rockfall and its location.