Results 31 to 40 of about 59,582 (306)

A CNN-Based Coherence-Driven Approach for InSAR Phase Unwrapping

open access: yesIEEE Geoscience and Remote Sensing Letters, 2022
Phase unwrapping (PU) is among the most critical tasks in synthetic aperture radar (SAR) interferometry (InSAR). Due to the presence of noise, the interferogram usually presents phase inconsistencies, also called residues, which imply a nonunivocal ...
F. Sica   +3 more
semanticscholar   +1 more source

Identifying Potential Landslides by Stacking-InSAR in Southwestern China and Its Performance Comparison with SBAS-InSAR

open access: yesRemote Sensing, 2021
Landslide disasters occur frequently in the mountainous areas in southwest China, which pose serious threats to the local residents. Interferometry Synthetic Aperture Radar (InSAR) provides us the ability to identify active slopes as potential landslides
Lele Zhang   +6 more
semanticscholar   +1 more source

High-level collapse risk identification based on oblique photography and InSAR technology

open access: yesShuiwen dizhi gongcheng dizhi, 2023
Collapse risk identification is the basis of collapse disaster prevention. High level collapse is characterized by sudden, hidden and large height difference, which brings great challenges to information collection, disaster identification and risk ...
Pengwei WANG, Yuke AN
doaj   +1 more source

High quality InSAR data linked to seasonal change in hydraulic head for an agricultural area in the San Luis Valley, Colorado [PDF]

open access: yes, 2011
In the San Luis Valley (SLV), Colorado legislation passed in 2004 requires that hydraulic head levels in the confined aquifer system stay within the range experienced in the years 1978–2000.
Agram, Piyush Shanker   +5 more
core   +1 more source

InSAR Forensics: Tracing InSAR Scatterers in High Resolution Optical Image [PDF]

open access: yesProceedings of Fringe 2015: Advances in the Science and Applications of SAR Interferometry and Sentinel-1 InSAR Workshop, 2015
The current synthetic aperture radar (SAR) theory makes a quite restrictive assumption – linearity – in the SAR imaging model, for the convenience of mathematical derivation. That is to say the imaged area is considered as an ensemble of individual point scatterers whose scattered fields and, hence, their responses in the SAR image superimpose linearly
Wang, Yuanyuan, Zhu, Xiao Xiang
openaire   +4 more sources

Comprehensive identification of potential and old landslides based on optical remote sensing and InSAR technologies: A case study in northwestern Yunnan Province

open access: yesZhongguo dizhi zaihai yu fangzhi xuebao, 2022
Potential geological disasters frequently occur in northwestern Yunnan. Landslide is the main type of geohazard. The identification of landslide in this area is an effective disaster prevention and mitigation measure.
Mingyuan WU, Ming LUO, Suihai LIU
doaj   +1 more source

INSAR OF AQUATIC BODIES [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012
Abstract. Radar remote sensing is a new earth observation technology with promising results and future. InSAR is a sophisticated radar remote sensing technique for combining synthetic aperture radar (SAR) single look complex images to form interferogram and utilizing its phase contribution to land topography, surface movement and target velocity.
openaire   +4 more sources

Use of InSAR data for measuring land subsidence induced by groundwater withdrawal and climate change in Ardabil Plain, Iran

open access: yesScientific Reports, 2022
The Ardabil plain, with an approximate area of 1097.2 km2 in northwestern Iran, has experienced land subsidence due to intensive groundwater withdrawal and long seasons of drought in recent years.
Z. Ghorbani   +5 more
semanticscholar   +1 more source

Coseismic displacement fields and the slip mechanism of the 2021 Mw 6.7 Hovsgol earthquake in Mongolia constrained by Sentinel-1 and ALOS-2 InSAR

open access: yesGIScience & Remote Sensing, 2023
On 11 January 2021, an Mw 6.7 earthquake, which involved a complex rupture mechanism, occurred in Lake Hovsgol, Mongolia. This study measured the earthquake’s 3-D coseismic surface displacement fields using interferometric synthetic aperture radar (InSAR)
Taewook Kim, Hyangsun Han
doaj   +1 more source

Some thoughts on the use of InSAR data to constrain models of surface deformation: Noise structure and data downsampling [PDF]

open access: yes, 2005
Repeat-pass Interferometric Synthetic Aperture Radar (InSAR) provides spatially dense maps of surface deformation with potentially tens of millions of data points. Here we estimate the actual covariance structure of noise in InSAR data.
Lohman, Rowena B., Simons, Mark
core   +2 more sources

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