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Proceedings of the International Association of Hydrological Sciences An open-access publication for refereed proceedings in hydrology
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PIAHS | Articles | Volume 382
Proc. IAHS, 382, 103–109, 2020
https://doi.org/10.5194/piahs-382-103-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Proc. IAHS, 382, 103–109, 2020
https://doi.org/10.5194/piahs-382-103-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

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 et al.

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Cited articles

Berardino, P., Fornaro, G., Lanari, R., and Sansosti, E.: A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms, IEEE Trans. Geosci. Remote Sens., 40, 2375–2383, 2002. 
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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