Land Subsidence Detection by PSInSARTM Based on TerraSAR-X Images

Autor: Rui zhang, Hong Liang Jia, Ming Zhi Sang, Bing Yu
Rok vydání: 2011
Předmět:
Zdroj: Advanced Materials Research. :641-645
ISSN: 1662-8985
DOI: 10.4028/www.scientific.net/amr.301-303.641
Popis: Land subsidence in urban area is becoming a severe geological hazard disturbing the urban construction and development. Persistent Scatterer Interferometric Synthetic Aperture Radar (PSInSAR) technique has demonstrated a good capability of monitoring the large scale land deformation. High resolution and short wave radar data can help to improve the precision of deformation detection based on PSInSAR. In this paper, 15 scenes of TerraSAR-X SAR data are used to derive the estimation of the subsidence rate in the Wuqing district, Tianjin city in China. The combination of TIN and nearest-connection method (NCM) are first used to establish the differential network model. The results show that high resolution TX image can dramatically increase the valid PSs and improve investigation reliability, especially in linear man-made constructs.
Databáze: OpenAIRE
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