Articles | Volume 382
https://doi.org/10.5194/piahs-382-103-2020
https://doi.org/10.5194/piahs-382-103-2020
Pre-conference publication
 | 
22 Apr 2020
Pre-conference publication |  | 22 Apr 2020

IoT technology and big data processing for monitoring and analysing land subsidence in Central Taiwan

Wei-Chia Hung, Yi-An Chen, and Cheinway Hwang

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Cited articles

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Hooper, A., Zebker, H., Segall, P., and Kampes, B.: A new method for measuring deformation on volcanoes and other natural terrains using InSAR persistent scatterers, Geophys. Res. Lett., 31, L23611, https://doi.org/10.1029/2004GL021737, 2004. 
Hung, W.-C., Hwang, C., Chen, Y.-A., Chang, C.-P., Yen, J.-Y., Hooper, A., and Yang, C.-Y.: Surface deformation from persistent scatterers SAR interferometry and fusion with leveling data: A case study over the Choushui River Alluvial Fan, Taiwan, Remote Sens. Environ., 115, 957–967, 2011.  
Hung, W.-C., Hwang, C., Liou, J.-C., Lin, Y.-S., and Yang, H.-L.: Modeling aquifer-system compaction and predicting land subsidence in central Taiwan, Eng. Geol., 147, 78–90, 2012. 
Tomás, R., Herrera, G., Delgado, J., Lopez-Sanchez, J. M., Mallorquí, J. J., and Mulas, J.: A ground subsidence study based on DInSAR data: Calibration of soil parameters and subsidence prediction in Murcia City (Spain), Environ. Geol., 111, 19–30, 2010. 
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