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Proceedings Paper

Advanced subsidence monitoring using persistent scatterer interferometry for Jharia Coal Field, Dhanbad, India
Author(s): Shailaja Thapa; R. S. Chatterjee; Dheeraj Kumar; K. B. Singh; Vivek Sengar
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Paper Abstract

This paper presents a spatiotemporal study of surface subsidence over urban area due to coal mining using Persistent scatterer interferometry. In the past few years Differential Interferometric Synthetic Aperture Radar has emerged as a very useful remote sensing technique for measuring land subsidence. It plays a vital role in insitu subsidence prediction of coal mining area. However there are some limitation viz. atmospheric decorrelation, temporal decorrelation and spatial decorrelation with conventional D-InSAR techniques, which can be overcome up to certain extent by using multiinterferogram framework approach. The Persistent Scatterer interferometry technique comprises of more number of SAR datasets, it only concentrates over the pixel which remain coherent over long time period. Persistent Scatterer interferometry makes deformation measurement on permanent scattering location for the targeted ground surface. Mainly, these permanent scatterer are manmade features like metallic bridges, dams, antennae roof of buildings etc. apart that some permanent scatterer may comprise of prominent stable natural targets. The results obtained from PS-InSAR gives more precised measurement of surface deformation. Total eight ALOS PALSAR scenes covering the time period from 2007 to 2010 have been utilized to produce ground deformation map using PSInSAR techniques for Jharia Coal field, Dhanbad. This is proven technique, which helps to identify the persistent land surface movement .The results were analyzed Sijua area in Jharia coalfield. The subsidence fringes were demarcated over the entire study area. The PSInSAR results were validated using precision leveling data provided by mining authorities. The results demonstrates that PSInSAR can be used as potential tool to highlight the subsidence prone area depending upon the spatial and temporal coherency of SAR data.

Paper Details

Date Published: 3 October 2017
PDF: 6 pages
Proc. SPIE 10426, Active and Passive Microwave Remote Sensing for Environmental Monitoring, 104260H (3 October 2017); doi: 10.1117/12.2275307
Show Author Affiliations
Shailaja Thapa, Indian Institute of Remote Sensing (India)
R. S. Chatterjee, Indian Institute of Remote Sensing (India)
Dheeraj Kumar, Indian School of Mines (India)
K. B. Singh, Central Institute of Mining and Fuel Research (India)
Vivek Sengar, Indian Institute of Remote Sensing (India)


Published in SPIE Proceedings Vol. 10426:
Active and Passive Microwave Remote Sensing for Environmental Monitoring
Claudia Notarnicola; Nazzareno Pierdicca; Emanuele Santi, Editor(s)

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