Multitemporal Analysis of Slow-Moving Landslides and Channel Dynamics through Integrated Remote Sensing and In Situ Techniques

Abstract

The relationships between hillslope and fluvial processes were studied in a mountainous area of the Northern Apennines (Italy) where intermittent landslide activity has interacted for a long time with river morphodynamics. The aim of the study was to analyse such relationships in two study sites of the Scoltenna catchment. The sites were analysed in detail and monitored through time. A long-term analysis was carried out based on multitemporal photointerpretation of aerial photos. Slope morphological changes and land use modifications since 1954 were detected and compared with the evolution of the channel morphology. A short-term analysis was also performed based on two monitoring campaigns accomplished in 2021 and 2022 in order to detect possible slope displacements and channel-bed-level changes. The techniques used are global navigation satellite systems and drone photogrammetry accompanied by geomorphological surveys and mapping. The multitemporal data collected allowed us to characterise slope surface deformations and quantify morphological changes. The combination of various techniques of remote and proximal sensing proved to be a useful tool for the analysis of the surface deformations and for the investigation of the interaction between slope and fluvial dynamics, showing the important role of fluvial processes in the remobilisation of the landslide toe causing the displacement of a significant volume of sediment into the stream.

Decadal Dynamics of Jamuna Riverbank Erosion and Its Impact on Local Livelihoods in Shariakandi, Bangladesh

“…However, numerous studies have been conducted since the 1960s, with a specific focus on morphological changes in the Jamuna River [26][27][28][29][30][31][32][33]. The utilization of satellite remote sensing (RS) techniques has proven to be highly effective in the analysis of fluvial channel dynamics at extensive spatial scales [34]. The advancements in RS and geographic information systems (GIS) have facilitated a convenient, cost-effective, and efficient platform for conducting thorough spatiotemporal analysis of bank erosion and accretion [35,36].…”

Monitoring and Quantifying Soil Erosion and Sedimentation Rates in Centimeter Accuracy Using UAV-Photogrammetry, GNSS, and t-LiDAR in a Post-Fire Setting

“…Researchers [35] denoted caution in the interpretation of the DoD and recommended using higher-resolution elevation data for accurately quantifying erosion deposition processes. The vegetation canopy is considered a significant limitation for the DoD multitemporal analysis [90], while other researchers [91] denoted that the 3D dynamic processes leading to objects subjected to vertical shifts need to be analyzed in a 3D spatial approach. This article focuses on soil erosion and sedimentation rates on a wildfire-affected mountainous catchment.…”