Spatio-Temporal Subsidence Estimation of Jharia Coal Field, India Using SBAS-Dinsar with Cosmo-Skymed Data

T. Dey, Kousik Biswas, D. Chakravarty, A. Misra, B. Samanta
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Abstract

Small Baseline Subset (SBAS) technique is one of most accurate methods in Differential SAR interferometry (DInSAR) to estimate the surface deformation. In this paper, this technique has been applied on 23 X-band COSMO-SKyMed (CSK) datasets during 2011 – 2016 to get the annual subsidence rate over Jharia Coal Field (JCF), India. Validation of the subsidence result with ground water level data strongly indicates the predominant underground coal mining induced surface deformation over Jharia area.
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基于SBAS-Dinsar和Cosmo-Skymed数据的印度Jharia煤田时空沉降估算
小基线子集(SBAS)技术是差分SAR干涉测量(DInSAR)中最精确的地表变形估计方法之一。本文将该技术应用于2011 - 2016年的23个x波段cosmos - skymed (CSK)数据集,以获得印度Jharia煤田(JCF)的年沉降速率。利用地下水位资料对沉降结果进行验证,表明Jharia地区地表变形以地下采煤为主。
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