IEEE Geoscience and Remote Sensing Magazine - March 2020 - 90

ground movement," in Proc. Eur. Congr. Ground Movement, 1957,
pp. 202-209.
[109]	I. Djamaluddin, Y. Mitani, and H. Ikemi, "GIS-based computational method for simulating the components of 3D dynamic
ground subsidence during the process of undermining," Int.
J. Geomech., vol. 12, no. 1, pp. 43-53, 2010.
[110]	G. He, L. Yang, and G. Lin, Mining Subsidence Engineering. Xuzhou,
China: Press of China Univ. of Mining and Technology, 1991.
[111]	Z. Yang, Z. Li, J. Zhu, J. Hu, Y. Wang, and G. Chen, "InSARbased model parameter estimation of probability integral
method and its application for predicting mining-induced horizontal and vertical displacements," IEEE Trans. Geosci. Remote
Sens., vol. 54, no. 8, pp. 4818-4832, 2016.
[112]	H. Fan, D. Cheng, K. Deng, B. Chen, and C. Zhu, "Subsidence
monitoring using D-InSAR and probability integral prediction
modelling in deep mining areas," Surv. Rev., vol. 47, no. 345,
pp. 438-445, 2015.
[113]	H. Fan, W. GU, Q. Yong, J. Xue, and B. Chen, "A model for extracting large deformation mining subsidence using D-InSAR
technique and probability integral method," Trans. Nonferrous
Metal. Soc. Chin., vol. 24, no. 4, pp. 1242-1247, 2014.
[114]	X. Diao, K. Wu, D. Hu, L. Li, and D. Zhou, "Combining differential SAR interferometry and the probability integral method for
three-dimensional deformation monitoring of mining areas,"
Int. J. Remote Sens., vol. 37, no. 21, pp. 5196-5212, 2016.
[115]	H. Dai and J. Wang, "Prediction model for surface movement
and deformation induced by subcritical extraction," J. Chin.
Coal Soc., vol. 28, no. 16, pp. 583-587, 2003.
[116]	X. Cui, J. Wang, and Y. Liu, "Prediction of progressive surface
subsidence above longwall coal mining using a time function,"
Int. J. Rock Mech. Min., vol. 38, no. 7, pp. 1057-1063, 2001.
[117]	Q. Hu, X. Cui, G. Wang, and M. Wang, "Key technology of
predicting dynamic surface subsidence based on Knothe time
function," J. Softw., vol. 6, no. 7, pp. 1273-1280, 2011.
[118]	K. Andrzei, "Surface subsidence and rate of its increments based
on measurements and theory," Arch. Min. Sci., vol. 46, no. 4,
pp. 391-402, 2001.
[119]	Z. Yang et al., "An extension of the InSAR-based probability integral method and its application for predicting 3-D mining-induced displacements under different extraction conditions," IEEE
Trans. Geosci. Remote Sens., vol. 55, no. 7, pp. 3835-3845, 2017.
[120]	Y. Cai, T. Verdel, and O. Deck, "On the topography influence
on subsidence due to horizontal underground mining using
the influence function method," Comput. Geotech., vol. 61, pp.
328-340, Sept. 2014.
[121]	L. Wang, N. Li, X. Zhang, T. Wei, Y. Chen, and J. Zha, "Full parameters inversion model for mining subsidence prediction using simulated annealing based on single line of sight D-InSAR,"
Environ. Earth Sci., vol. 77, no. 5, p. 161, 2018.
[122]	Z . Yang et al., "Locating and defining underground goaf caused
by coal mining from space-borne SAR interferometry," ISPRS
J. Photogramm., vol. 135, pp. 112-126, Jan. 2018.
[123]	D. Goldberg, Genetic Algorithms in Search, Optimization, and Machine Learning, Reading, MA: Addison-Wesley, 1989.
[124]	N. Board, Subsidence Engineers Handbook. London, U.K.: National Coal Board, 1975.

90

[125]	S . Boone, "Ground-movement-related building damage,"
J. Geotech. Eng., vol. 122, no. 11, pp. 886-896, 1996.
[126]	Z. Yang et al., "An InSAR-based temporal probability integral
method and its application for predicting mining-induced dynamic deformations and assessing progressive damage to surface buildings," IEEE J. Sel. Topics Appl. Earth Observ. Remote Ses.,
vol. 11, no. 2, pp. 472-484. doi: 10.1109/JSTARS.2018.2789341.
[127]	X. Diao, Z. Bai, K. Wu, D. Zhou, and Z. Li, "Assessment of
mining-induced damage to structures using InSAR time series
analysis: A case study of Jiulong Mine, China," Environ. Earth
Sci., vol. 77, no. 5, p. 166, 2018.
[128]	H. Zebker and J. Villasenor, "Decorrelation in interferometric
radar echoes," IEEE Trans. Geosci. Remote Sens., vol. 30, no. 5,
pp. 950-959, 1992.
[129]	D. Massonnet and K. Feigl, "Radar interferometry and its application to changes in the Earth's surface," Rev. Geophys., vol. 36,
no. 4, pp. 441-500, 1998.
[130]	H. Zebker, P. Rosen, and S. Hensley, "Atmospheric effects in interferometric synthetic aperture radar surface deformation and
topographic maps," J. Geophys. Res. Solid Earth, vol. 102, no. B4,
pp. 7547-7563, 1997.
[131]	D. Sandwell and E. Price, "Phase gradient approach to stacking
interferograms," J. Geophys. Res. Solid Earth, vol. 103, no. B12,
pp. 30,183-30,204, 1998.
[132]	Z. Li, J. Muller, P. Cross, and E. Fielding, "Interferometric synthetic
aperture radar (InSAR) atmospheric correction: GPS, moderate
resolution imaging spectroradiometer (MODIS), and InSAR integration," J. Geophys. Res. Solid Earth, vol. 110, p. B03410, Mar. 2005.
[133]	J. Foster, B. Brooks, T. Cherubini, C. Shacat, S. Businger, and C.
Werner, "Mitigating atmospheric noise for InSAR using a high resolution weather model," Geophys. Res. Lett., vol. 33, no. 16, 2006.
[134]	R . Jolivet, R. Grandin, C. Lasserre, M. Doin, and G. Peltzer,
"Systematic InSAR tropospheric phase delay corrections from
global meteorological reanalysis data," Geophys. Res. Lett., vol.
38, no. 17, 2011. doi: 10.1029/2011GL048757. [Online]. Available: https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/
2011GL048757
[135]	Z. Li et al., "Time-series InSAR ground deformation monitoring: Atmospheric delay modeling and estimating," Earth-Sci.
Rev., vol. 192, pp. 258-284, Mar. 2019.
[136]	K. Feigl and C. Thurber, "A method for modelling radar interferograms without phase unwrapping: Application to the M 5
Fawnskin, California earthquake of 1992 December 4," Geophys. J. Int., vol. 176, no. 2, pp. 491-504, 2009.
[137]	G. Fornaro, S. Atzori, F. Calo, D. Reale, and S. Salvi, "Inversion
of wrapped differential interferometric SAR data for fault dislocation modeling," IEEE Trans. Geosci. Remote Sens., vol. 50, no.
6, pp. 2175-2184, 2012.
[138]	H. Yu, H. Lee, T. Yuan, and N. Cao, "A novel method for deformation estimation based on multibaseline InSAR phase unwrapping," IEEE Trans. Geosci. Remote Sens., vol. 56, no. 9, pp. 5231-
5243, 2018.
[139]	N. Gourmelen et al., "Ice velocity determined using conventional and multiple-aperture InSAR," Earth Planetary Sci. Lett.,
vol. 307, no. 1-2, pp. 156-160, 2011.
GRS
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE

MARCH 2020
https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2011GL048757 https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2011GL048757
IEEE Geoscience and Remote Sensing Magazine - March 2020

Table of Contents for the Digital Edition of IEEE Geoscience and Remote Sensing Magazine - March 2020
