Title :
Monitoring Ground Subsidence in New Orleans with Persistent Scatterers Interferometry
Author :
Long, Jiangping ; Ding, Xiaoli
Author_Institution :
Fac. of Sci., Central South Univ. of Forestry & Technol., Changsha, China
Abstract :
Ground subsidence and flooding are well publicized problems in the area of New Orleans, USA. Interferometric Synthetic Aperture Radar (InSAR) has been applied by various research groups to study the ground subsidence in the area as an international effort supported by the Canadian Space Agency (CSA), National Aeronautics and Space Administration (NASA) and United States Geological Survey (USGS). This paper presents some of the work carried out at the Hong Kong Polytechnic University in contribution to this effort. 23 Radarsat-1 images acquired over a 2.5-year period from December 2004 to March 2007 are used in the PS-InSAR processing. Over 23,000 PS points are identified in the area based on both the amplitude and the coherence variations in the sequence of images. A network of PS points is then formed and used in the PS solution. The LAMBDA method is used to facilitate the determination of the phase integer ambiguities. The average subsidence rate along the direction of the radar illumination determined is 2.1 mm per annum.
Keywords :
floods; geomorphology; geophysical image processing; geophysical techniques; radar interferometry; remote sensing by radar; synthetic aperture radar; topography (Earth); AD 2004 12 to 2007 03; Canadian Space Agency; Hong Kong Polytechnic University; LAMBDA method; NASA; National Aeronautics and Space Administration; New Orleans; PS-InSAR processing; Radarsat-1 images; USA; United States Geological Survey; flooding; ground subsidence monitoring; interferometric synthetic aperture radar; persistent scatterers interferometry; phase integer ambiguities; radar illumination; Atmospheric modeling; Coherence; Dispersion; Indexes; Interferometry; Pixel; Signal resolution;
Conference_Titel :
Multimedia Technology (ICMT), 2010 International Conference on
Conference_Location :
Ningbo
Print_ISBN :
978-1-4244-7871-2
DOI :
10.1109/ICMULT.2010.5631056