Enhanced algorithm based on persistent scatterer interferometry for the estimation of high-rate land subsidence
نویسندگان
چکیده
منابع مشابه
Ultrashort-baseline Persistent Scatterer Radar Interferometry for Subsidence Detection
This paper presents an improved approach of multi-temporal interferometric synthetic aperture radar (InSAR) for detecting land subsidence phenomena by using time series of high resolution SAR images. Our algorithm extends the capability of the temporarily coherent point (TCP) InSAR technique proposed previously to detect subsidence even in the case of a small number of SAR images available for ...
متن کاملApplication of Persistent Scatterer Interferometry for Land Subsidence Monitoring in Sydney, Australia using ENVISAT ASAR Data
The aim of this research is to investigate the terrain deformation in the metropolitan area of Sydney using multiple satellite radar imagery. The persistent scatterer interferometry (PSI) strategy developed at Geodesy and Earth Observing Systems Group (GEOS) of the University of New South Wales (UNSW) is used to map the land deformation in Sydney with C-band ENVISAT radar images in this study. ...
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It is well known that the most accurate method to detect changes of height is the geodetic precise leveling method. Due to the high demand work and time needed for precise leveling alternative methods are studied to obtain high quality height information. Differential SAR interferometry techniques such as the Persistent Scatterer Interferometry (PSI) method are studied to detect millimeter leve...
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In this paper, we present a procedure to map subsidence at the regional scale by means of persistent scatterer interferometry (PSI). Subsidence analysis is usually restricted to plain areas and where the presence of this phenomenon is already known. The proposed procedure allows a fast identification of subsidences in large and hilly-mountainous areas. The test area is the Tuscany region, in Ce...
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ژورنال
عنوان ژورنال: Journal of Applied Remote Sensing
سال: 2012
ISSN: 1931-3195
DOI: 10.1117/1.jrs.6.063573