Results 81 to 90 of about 59,582 (306)
Assessment of the potential of MERIS near-infrared water vapour products to correct ASAR interferometric measurements [PDF]
, 2006 Atmospheric water vapour is a major limitation for high precision Interferometric Synthetic Aperture Radar (InSAR) applications due to its significant impact on microwave signals.
Albert, P. +5 more
core +1 more source
Geophysical Research Letters, 2022 The permafrost degradation can cause long‐term ground surface subsidence, and the surface undergoes frost heave and thaw settlement due to the ice‐water phase change in the active layer. The multi‐year surveys by leveling observations and Interferometric
Shibo Liu +7 more
semanticscholar +1 more source
Active landslide identification with a combined method of D-InSAR and random forest model
Zhongguo dizhi zaihai yu fangzhi xuebao, 2022 Early identification of disaster is a key technical problem in disaster prevention and mitigation. In this study, Zhouqu County, Gansu Province was taken as an example.
Xingyue GAO, Shijie WANG, Pengcheng GAO
doaj +1 more source
Using GPS as a reference frame for SAR images applied to a post eruptive period for Okmok Volcano, Aleutian Islands, Alaska [PDF]
, 2012 While high spatial coverage makes InSAR a popular tool to study active volcanoes its use can possess challenges for certain environments. Volcanoes along Alaska's Aleutian chain are difficult targets for InSAR as their seasonal snow cover causes ...
Miller, Summer A.
core
Basin scale assessment of landslides geomorphological setting by advanced InSAR analysis [PDF]
, 2017 An extensive investigation of more than 90 landslides affecting a small river basin in Central Italy was performed by combining field surveys and remote sensing techniques.
Alfredo Rocca +5 more
core +2 more sources
Computer-Aided Civil and Infrastructure Engineering, EarlyView.Abstract Climate change exacerbates natural disasters, demanding rapid damage and risk assessment. However, expert‐reliant analyses delay responses despite drone‐aided data collection. This study develops and compares multimodal AI approaches using advanced large language models (LLMs) for expert‐level landslide image analysis.
Kittitouch Areerob +10 more
wiley +1 more source
Monitoring and Analysis of Ground Surface Settlement in Mining Clusters by SBAS-InSAR Technology
Italian National Conference on Sensors, 2022 In this paper, we use the small baseline set technology and the early geological hazard identification method based on the selection of Permanent Scatter (PS) and Distributed Scatter (DS) points to carry out the research on surface deformation monitoring
Huini Wang +4 more
semanticscholar +1 more source
Remote Sensing, 2020 The acquisition of a 3D displacement field can help to understand the crustal deformation pattern of seismogenic faults and deepen the understanding of the earthquake nucleation.
Luyun Xiong +4 more
doaj +1 more source
Time-series monitoring of two-dimensional deformation of Tongwei loess landslide in Gansu Province
Zhongguo dizhi zaihai yu fangzhi xuebao, 2022 The time-series synthetic aperture radar interferometry can reflect the deformation process of landslides effectively. On September 14, 2019, a landslide occurred in Tongwei County, Gansu Province.
Hongyu PU +5 more
doaj +1 more source
Reviews of Geophysics, Volume 63, Issue 3, September 2025.Abstract A glacial forebulge is a bending‐related upheaval of the lithosphere outside a glaciated area that co‐occurs to the depression of the lithosphere below an ice sheet. The forebulge of the last glaciation attracted attention over more than one century, but quantitative descriptions on the geometry of the forebulge are rare.
Christian Brandes +4 more
wiley +1 more source