Using DInSAR, airborne LiDAR, and archival air photos to quantify landsliding and sediment transport

Abstract

We demonstrate the ability of coupled remote sensing tools to characterize large, slow‐moving landslides in the Eel River catchment, northern California. From a stack of ALOS interferograms, we identified 5 large (>1 km long) landslides that exhibited significant activity from February 2007 to February 2008. For the Boulder Creek earthflow, we used orthorectified air photos taken in 1964 and unfiltered airborne LiDAR flown in 2006 to map the displacement of trees growing on the landslide surface. Combining those displacement orientations with stacked DInSAR data, we observed average downslope velocities of 0.65 m yr−1 through the central transport zone of the landslide. Given landslide depth estimates, minimum sediment transport and denudation rates are estimated to be 4100 m3 yr−1 and 1.6 mm yr−1, respectively. Our results demonstrate the highly erosive role of large, slow‐moving landslides in landscape evolution and suggest that the superposition of dense, ephemeral gully networks and rapidly moving zones within the landslide may facilitate delivery of slide‐mobilized sediment into adjacent fluvial channels.

Integration and Delivery of Interferometric Synthetic Aperture Radar [InSAR] Data Into Stormwater Planning Within Karst Terranes

“…Many of those applications were for large-scale, slow-moving changes, such as slowlymoving landslides (Roering et al, 2009) or changes in rock-glacier mass (Strozzi et al, 2010). Applications to smaller phenomena, such as formations of sinkholes, activity on rock slopes, or distortions to bridges or rock buttresses, have not been targets of investigation for InSAR until quite recently.…”

Probabilistic frequency ratio (PFR) model for quality improvement of landslide susceptibility mapping from LiDAR-derived DEMs

“…Numerous research have been attempted on landslide hazards to study slope instability hazards mapping (Carrara et al 1991;Carrara et al 1999;Guzzetti et al 1999;Barredo et al 2000;Pack and Tarboton 2004;Guzzetti et al2005;Roering et al 2009;Pirasteh et al 2011;Su et al 2015). Also, some researchers applied deterministic models for landslide susceptibility mapping and modelling (Binaghi et al 1999;Westen and Terlien 1996;Watts 2004;Sarkar and Kanungo 2004;Pradhan and Pirasteh, 2010;Zhou et al 2003;Lee and Dan 2005;Westen et al 2008;Jebur et al 2014).…”

Geological and geophysical characterization of the southeastern side of the High Agri Valley (southern Apennines, Italy)

“…They can provide indication on superficial characteristics of the investigated area like the presence of geological structures and geomorphological features, land use, vegetation cover, etc. (Simoniello et al, 2008;Roering et al, 2009;Strozzi et al, 2010). Ground-based techniques give direct and indirect information on the subsurface characteristics in a specific point of the area (Petley et al, 2005;Marcato et al, 2012).…”