Articles | Volume 382
https://doi.org/10.5194/piahs-382-103-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.IoT technology and big data processing for monitoring and analysing land subsidence in Central Taiwan
Related authors
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.