Results 221 to 230 of about 7,842 (255)

DInSAR analysis to detect local and regional coseismic ground deformation: insights from the 2016 central Italy earthquake

open access: gold
Massimiliano Porreca   +6 more
openalex   +1 more source

Dinsar measurement of soil moisture

IEEE Transactions on Geoscience and Remote Sensing, 2003
Differential interferometric sythetic aperture radar (DInSAR) measurements using the European Remote Sensing 2 (ERS-2) satellite in a high-plains region of Colorado show intriguing spatial variations in millimeter-scale path-length change that may correspond to variations in soil moisture of a few percent by volume, in both farm fields and uncultivated
M. Nolan, D.R. Fatland, L. Hinzman
openaire   +1 more source

Airborne DInSAR time series at X-Band

2010 IEEE International Geoscience and Remote Sensing Symposium, 2010
Differential SAR Interferometry (DInSAR) is a remote sensing technique which allows monitoring ground deformation with accuracy of the order of the transmitted wavelength by exploiting the phase difference (interferogram) of two temporally separated SAR images relevant to the same area.
PERNA, Stefano   +3 more
openaire   +1 more source

DInSAR measurements of reclaimed costal land

IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), 2004
The subsidence rate in a reclaimed coastal land has been estimated using JERS-1 L-band SAR two-pass differential interferometry (DInSAR). Owing to the severe temporal decorrelation induced by frequent soil loading and to the intense deformation gradient, the L-band was effective for observation of subsidence in the reclaimed land.
null Sang-Wan Kim   +2 more
openaire   +1 more source

Dynamic deformation retrieval for DInSAR data

2011 IEEE International Geoscience and Remote Sensing Symposium, 2011
This study presents a dynamic deformation retrieval method for differential synthetic aperture radar interferometry (DInSAR) processing. Detailed nonlinear displacement parameters are modeled and estimated for capturing the developing trends of ground movement both in time and space.
Li Tao   +4 more
openaire   +1 more source

Mitigation of atmospheric noise in DinSAR technique

2019 XVIII Workshop on Information Processing and Control (RPIC), 2019
Atmosphere is a dominant source of error while working with the phase of Synthetic Aperture Radar (SAR) images. It can be observed as an additional phase pattern in affected interferograms. In this work we analyzed the influence of the atmosphere masked out the deformation pattern over an area near to San Juan city, Argentina.
Rosell, Patricia Alejandra   +2 more
openaire   +2 more sources

SBAS-DInSAR time series generation on cloud computing platforms

2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS, 2013
This paper proposes a parallel model for the Differential Interferometry Synthetic Aperture Radar approach referred to as Small BAseline Subset (SBAS) algorithm. This new computational model has been designed to be specifically exploited within the emerging cloud computing environments.
S Elefante   +9 more
openaire   +3 more sources

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