Semantic Scholar Open Access 2023 3 sitasi

Editorial: Developments of remote sensing and numerical modeling applications for landslide analysis

Monica Ghirotti D. Donati D. Stead

Abstrak

The Research Topic “Developments of Remote Sensing and Numerical Modeling Applications for Landslide Analysis” gathers high-quality original research articles on case studies covering a broad spectrum of subaerial landslide types from a wide range of places throughout the world. The common factor of these contributions is the application of state-ofthe-art and new remote sensing techniques, numerical modeling methods, and their combination, for the characterization, monitoring and simulation of the behaviour and the geomorphic evolution of landslides. Where traditional survey methods are used, the Research Topic of geological data required to characterize landslides may be limited or prevented by difficult terrain and the state of activity of the slopes. The use of remote sensing techniques can help overcome these challenges, at the same time allowing monitoring of surface slope displacements and mapping of slope damage features. Multi-sensor, multi-platform, and multi-temporal datasets and approaches maximize the quality and the quantity of remotely sensed data to better characterize the behaviour and the spatial-temporal evolution of landslides. Identification and interpretation of the mechanism and factors controlling the behaviour and the evolution of the landslide can be tested using numerical modelling analyses. Simulations conducted using continuous, discontinuous, and hybrid numerical analyses can be validated and constrained against field andmonitoring data, therebymaking them an important tool to support and substantiate hypotheses and geological interpretations of the mechanisms and factors influencing the behavior of landslides in both natural and engineered slopes. Addressing these Research Topic requires a multidisciplinary approach encompassing engineering geology, rock and soil mechanics, structural geology, and geomorphology. This Research Topic adds to the state of knowledge of landslides (s.l.) through contributions dealing with case studies of landslide that employ or combine different remote sensing and/or numerical modelling methods to investigate the behavior and evolution of present and past landslides. Research Topic addressed in this Research Topic include the application of state-of-the-art remote sensing techniques for landslide mapping and characterization at various scales (Donati et al., Rouhi et al. Muhammad et al.), landslide susceptibility mapping (Titti et al.), landslide and landslide dam evolution analysis (Bonneau et al., Rabus et al., Wolter et al.), and numerical OPEN ACCESS

Penulis (3)

M

Monica Ghirotti

D

D. Donati

D

D. Stead

Format Sitasi

Ghirotti, M., Donati, D., Stead, D. (2023). Editorial: Developments of remote sensing and numerical modeling applications for landslide analysis. https://doi.org/10.3389/feart.2022.1129733

Akses Cepat

Lihat di Sumber doi.org/10.3389/feart.2022.1129733
Informasi Jurnal
Tahun Terbit
2023
Bahasa
en
Total Sitasi
Sumber Database
Semantic Scholar
DOI
10.3389/feart.2022.1129733
Akses
Open Access ✓