Results 101 to 110 of about 3,895 (177)

3D Co-Seismic Surface Displacements Measured by DInSAR and MAI of the 2017 Sarpol Zahab Earthquake, Mw7.3. [PDF]

Int J Environ Res Public Health, 2022
Ali R, Wu X, Chen Q, Elubid BA, Dafalla DS, Kamran M, Aldoud AA.   +6 more
europepmc   +1 more source

AUTOMATIC GENERATION OF SENTINEL-1 DINSAR CO-SEISMIC MAPS

, 2019
This paper presents an automatic tool for the generation of co-seismic displacement maps through the satellite Differential Synthetic Aperture Radar Interferometry (DInSAR) technique.
Fernando Monterroso, Giovanni Onorato, Manuela Bonano, Riccardo Lanari, Claudio de Luca, Mariarosaria Manzo, Francesco Casu, Ivana Zinno, Michele Manunta   +8 more
core  

Multi-temporal DInSAR data processing for landslide risk monitoring: First results from the ASI-MEFISTO project

, 2022
This work summarizes the preliminary outcomes of multi-temporal Differential Synthetic Aperture Radar (SAR) Interferometry (DInSAR) analysis carried out within the ASI-MEFISTO project framework, which aims at integrating multi-frequency information ...
Fornaro Gianfranco, Verde Simona, Reale Diego, Sansosti Eugenio, Zamparelli Virginia, Pauciullo Antonio   +5 more
core  

A Simple Relation to Constrain Groundwater Models Using Surface Deformation. [PDF]

Ground Water, 2022
Brown MRM, Ge S, Screaton E.
europepmc   +1 more source

Monitoring Subsidence Area with the Use of Satellite Radar Images and Deep Transfer Learning. [PDF]

Sensors (Basel), 2022
Franczyk A, Bała J, Dwornik M.
europepmc   +1 more source

Statistical inference in comparing DInSAR and GPS data in fault areas

, 2012
DInSAR and GPS data are nowadays currently used in geophysical investigation, e.g. for estimating slip rate over the fault plane in seismogenic areas. This analysis is usually done by mapping the surface deformation rates as estimated by GPS and DInSAR ...
BARZAGHI, RICCARDO, BORGHI, ALESSANDRA, A. Kunzle   +2 more
core  

TS-DInSAR tool: a temporal & spatial tool for the analysis of DInSAR data at the national scale

GIScience & Remote Sensing
The TS-DInSAR tool employs a novel and automated approach for the analysis of wide-scale DInSAR datasets acquired via the Sentinel-1 SAR missions and processed using the P-SBAS algorithm.
Francesco Poggi, Gabriele Fibbi, Francesco Becattini, Claudio De Luca, Francesco Casu, Manuela Bonano, Andrea Magrin, Riccardo Lanari, Federico Raspini   +8 more
doaj   +1 more source

The Relationship between Land Subsidence and Water Use in Yazd-Ardakan Plain Using Sentinel-1 Images [PDF]

تحقیقات کاربردی علوم جغرافیایی
In arid and semi-arid regions, groundwater is more important for humans and ecosystems than surface water. Land subsidence is caused by the pumping and uncontrolled use of groundwater in an area.
Mohammadreza Goodarzi, Maryam Sabaghzadeh, Amirreza Rajabpour niknam   +2 more
doaj  

Multi-Level Sensing Technologies in Landslide Research-Hrvatska Kostajnica Case Study, Croatia. [PDF]

Sensors (Basel), 2021
Podolszki L, Kosović I, Novosel T, Kurečić T.   +3 more
europepmc   +1 more source

An Adaptive Statistical Multi-grid DInSAR Technique for Studying Multi-scale Earth Surface Deformation Phenomena

, 2020
In this study, we show the potential of an adaptive quad-tree-based decomposition method applied to Differential Synthetic Aperture Radar (DInSAR) data.
Pietro Mastro, Antonio Pepe, Francesco Falabella   +2 more
core