Results 81 to 90 of about 5,225 (186)

Estimation of ground subsidence in the city of Morelia, Mexico using Satellite Interferometry (INSAR)s

open access: yesGeofísica Internacional, 2018
La ciudad de Morelia, en la zona central de México, ha sido afectada en años recientes por la subsidencia diferencial del suelo que se refleja en forma de fallas y fracturas en la superficie.
Gerardo Suárez   +3 more
doaj   +1 more source

Quick output parameters related to the 3 April 2024 M7.3 earthquake in the sea area of Hualien County,Taiwan Province

open access: yes地震科学进展
On April 3, 2024, at 07:58 (Beijing time), a magnitude 7.3 earthquake occurred in the waters of Hualien County, Taiwan Province. The Institute of Geophysics, China Earthquake Administration initiated a rapid response after the earthquake and organized ...
Qinying Wang   +5 more
doaj   +1 more source

Geomorphic signatures of reservoir–slope hazards triggered by the Baihetan Reservoir impoundment, lower Jinsha River, China

open access: yesDizhi lixue xuebao
Objective  Slope instability triggered by reservoir water-level fluctuations represents a prevalent geohazard in mountainous regions and canyons undergoing large-scale hydropower development. Since the 21st century, accelerated hydropower development has
LI Lei   +7 more
doaj   +1 more source

Practical demonstration of robust InSAR optimization for multipass InSAR

open access: yes, 2016
Multipass / multibaseline SAR interferometric measurements may suffer from, for example, non-Gaussian scatterers in the context of distributed scatterers, and unmodeled interferometric phase such as unmodeled motion phase and atmospheric phase. Robust InSAR Optimization (RIO) is a framework that systematically tackles these problems.
Wang, Yuanyuan, Zhu, Xiao Xiang
openaire   +3 more sources

InSAR-YOLOv8 for wide-area landslide detection in InSAR measurements

open access: yesScientific Reports
InSAR monitoring technology is widely used in investigating landslide hazards. Leveraging object detection algorithms to quickly extract landslide information from Wide-Area InSAR measurements is of great significance. Our InSAR-YOLOv8, an algorithm that automatically detects landslides from InSAR measurements, addresses the low accuracy and suboptimal
Ruopu Ma   +5 more
openaire   +2 more sources

A study on multiple-model evaluation of landslide susceptibility

open access: yesCarsologica Sinica
Landslides are one of the most common geological disasters in China, characterized by sudden occurrence and uncertainty. The evaluation of landslide susceptibility is a complex process.
Cheng HUANG   +3 more
doaj   +1 more source

Observing Seasonal Variabilities of a Permafrost Landscape With PolSAR, InSAR and Pol-InSAR

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ...
Paloma Saporta   +5 more
openaire   +4 more sources

Model Construction of InSAR-based Rainfall Thresholds for Landslide Hazards in Yanhe Basin, Chinese Loess Plateau

open access: yesShuitu Baochi Xuebao
[Objective] Empirical rainfall thresholds have geographical limitations, it is of great significance to carry out a rainfall threshold modeling study for landslide hazard on the Chinese Loess Plateau.
WANG Zhenliang   +5 more
doaj   +1 more source

Progressive InSAR phase estimation

open access: yes, 2020
This paper introduces a novel scheme to progressively estimate interferometric phases from a stack of synthetic aperture radar (SAR) images. The scheme is shown to yield comparable performance to full-covariance algorithms for a realistic decorrelation scenario.
openaire   +2 more sources

Assessing land subsidence from anthropogenic activity in Northern Sumatra, Indonesia revealed using SAR interferometry

open access: yesJournal of Degraded and Mining Lands Management
Land subsidence is a significant issue in urban areas globally, including several cities with a growing population in Northern Sumatra, Indonesia. This study employs Sentinel-1 SAR data and the Small Baseline Subset (SBAS) InSAR technique to monitor land
Redho Surya Perdana   +7 more
doaj   +1 more source

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