Review of satellite interferometry for landslide detection in Italy

L Solari, M Del Soldato, F Raspini, A Barra… - Remote Sensing, 2020 - mdpi.com
Landslides recurrently impact the Italian territory, producing huge economic losses and
casualties. Because of this, there is a large demand for monitoring tools to support landslide …

InSAR 技术在滑坡灾害中的应用研究进展

李晓恩, 周亮, 苏奋振, 吴文周 - 遥感学报, 2021 - ygxb.ac.cn
InSAR 技术作为重要的对地观测技术之一, 已在城市, 矿山, 地质灾害等地表形变监测领域得到
广泛应用与探索, 特别是在滑坡灾害形变监测中具有很强的实用性. 为全面 …

Performance evaluation of the GIS-based data mining techniques of best-first decision tree, random forest, and naïve Bayes tree for landslide susceptibility modeling

W Chen, S Zhang, R Li, H Shahabi - Science of the total environment, 2018 - Elsevier
The main aim of the present study is to explore and compare three state-of-the art data
mining techniques, best-first decision tree, random forest, and naïve Bayes tree, for landslide …

Slow-moving landslide risk assessment combining Machine Learning and InSAR techniques

A Novellino, M Cesarano, P Cappelletti, D Di Martire… - Catena, 2021 - Elsevier
This paper describes a novel methodology where Machine Learning Algorithms (MLAs)
have been integrated to assess the landslide risk for slow moving mass movements …

Landslide detection using residual networks and the fusion of spectral and topographic information

MI Sameen, B Pradhan - Ieee Access, 2019 - ieeexplore.ieee.org
Landslide inventories are in high demand for risk assessment of this natural hazard,
particularly in tropical mountainous regions. This research designed residual networks for …

Landslide mapping and monitoring using persistent scatterer interferometry (PSI) technique in the French Alps

G Aslan, M Foumelis, D Raucoules, M De Michele… - Remote Sensing, 2020 - mdpi.com
Continuous geodetic measurements in landslide prone regions are necessary to avoid
disasters and better understand the spatiotemporal and kinematic evolution of landslides …

Satellite radar interferometry: Potential and limitations for structural assessment and monitoring

DA Talledo, A Miano, M Bonano, F Di Carlo… - Journal of Building …, 2022 - Elsevier
The present paper analyzes potential and limitations of multi-temporal Differential Synthetic
Aperture Radar Interferometry (DInSAR) techniques applied for the structural monitoring and …

Analysis of surface deformations over the whole Italian territory by interferometric processing of ERS, Envisat and COSMO-SkyMed radar data

M Costantini, A Ferretti, F Minati, S Falco, F Trillo… - Remote Sensing of …, 2017 - Elsevier
Interferometric processing of series of data acquired over time by synthetic aperture radar
(SAR) satellites makes it possible to measure millimetric deformations (typically due to …

Landslide susceptibility assessment at the Wuning area, China: A comparison between multi-criteria decision making, bivariate statistical and machine learning …

H Hong, H Shahabi, A Shirzadi, W Chen, K Chapi… - Natural Hazards, 2019 - Springer
The aim of this research is to investigate multi-criteria decision making [spatial multi-criteria
evaluation (SMCE)], bivariate statistical methods [frequency ratio (FR), index of entropy …

Landslide susceptibility mapping using maximum entropy and support vector machine models along the Highway Corridor, Garhwal Himalaya

VK Pandey, HR Pourghasemi… - Geocarto International, 2020 - Taylor & Francis
The main objective of this study to produce landslide susceptibility zones using maximum
entropy (MaxEnt) and support vector machine (SVM) data-driven models along the Tipari to …