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Investigation on Mining Subsidence Based on Sentinel-1A Data by SBAS-InSAR technology—Case Study of Ningdong Coalfield, China
Investigación en subsidencia minera con datos de Sentinel-1A por tecnología SBAS-InSAR: estudio de caso de Ningdong Coalfield, China
DOI:
https://doi.org/10.15446/esrj.v24n3.90123Keywords:
small baseline subset (SBAS), time-series InSAR, Ningdong Coalfield, Loess Plateau, deformation monitoring (en)subconjunto de referencia pequeño (SBAS), series de tiempo InSAR, campo de carbón de Ningdong, meseta de Loess, monitoreo de deformación (es)
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Ground deformation characterization was difficult to obtain over large spatial areas before the invention of the Satellite radar interferometry (InSAR) technique. Especially underground mining in the Loess Plateau of China, it causes large-scale ground damage within a short period of time. A small baseline subset (SBAS) algorithm can overcome some limitations of InSAR technology, such as temporal decorrelation, spatial decorrelation, and atmospheric delay. In this study, SBAS-InSAR technology was applied to process 19 scenes of Sentinel-1A data in Ningdong Coalfield, China. We investigated and analyzed the mining subsidence status from March 2015 to June 2016. There are 6 ground deformation areas in the cumulative subsidence maps, and the maximum cumulative subsidence value is -178cm distributed in the Renjiazhuang mining area during this period. The deformation rate map shows that the maximum deformation rate was -117cm/year. GPS data above the working tunnel was collected in six mining areas in Shigouyi. The subsidence value of SBAS data is consistent with GPS observation station data. The results reveal the evolution process of subsidence in mining subsidence and are helpful to the early warning of the mine disaster.
Antes de la invención de la técnica de interferometría de radar satelital (InSAR) la caracterización de la deformación del suelo era difícil de obtener en grandes áreas. La minería subterránea en la meseta de Loess de China causa daños a gran escala en un corto período. El algoritmo de subconjunto de línea de base pequeña (SBAS) puede superar algunas limitaciones de la tecnología InSAR, como la decorrelación temporal, la decorrelación espacial y el retraso atmosférico. En este estudio se aplicó la tecnología SBAS-InSAR para procesar 19 escenas de datos Sentinel-1A en la mina de carbón de Ningdong, China. Además, se investigó y se analizó el estado de subsidencia minera desde marzo de 2015 hasta junio de 2016. Hay seis áreas de deformación del suelo en los mapas de subsidencia acumulada y el valor de subsidencia acumulativo máximo es -178cm distribuido en el área minera de Renjiazhuang durante este período. El mapa de la tasa de deformación muestra que la tasa de deformación máxima fue de -117 cm/año. Se visitaron estas seis áreas mineras y se recopilaron datos de GPS sobre el túnel de trabajo en el área minera de Shigouyi. El valor de subsidencia de los datos SBAS es consistente con los datos de la estación de observación GPS. Los resultados revelan el proceso de evolución en el hundimiento minero y son útiles para la alerta temprana del desastre de la mina.
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