IEEE Geoscience and Remote Sensing Magazine - March 2020 - 34

N

Deformation
Rate (mm/Year)
-22 to -15
-14 to -12
-11 to -9
-8.9 to -6
-5.9 to -3
-2.9 to 0
0.01 to 3
3.1 to 6
6.1 to 9
9.1 to 12
(a)
10

Cumulative Deformation (mm)

0
-10
-20
-30
-40
-50
-60
-70
0

50

100

150

200

250

(b)
FIGURE 15. (a) The deformation rate map and (b) the time-series cumulative deformation in the Jingjin Railway.

Landslides occur in mountainous areas, and there are
almost no artificial targets with strong scatterers, so DSbased processing is necessary. Moreover, the effect of
long wavelengths (L, S, and C bands) is better than that
of a short wavelength (X band).
In [108], the deformation of the Jiaju landslide in the Sichuan Province of China was analyzed by several time-series
InSAR techniques using L-band ALOS PALSAR and C-band
ENVISAT ASAR images. The authors in [109] utilized timeseries InSAR to retrieve the landslide deformation in Zhouqu
County in the Sichuan Province of China and analyzed its
corresponding deformation mode. In [73], Intrieri et al. employed the SqueeSAR technique to retrieve deformation results from the Maoxian landslide, and the deformation signs
preceding this landslide were provided to validate a landslide
prediction method. The authors in [110] and [111] used the
SBAS method to monitor landslide movements in Badong
in the Three Gorges region of China. In [112], the authors
used JSInSAR to analyze the landslide deformation in Mao
County in the Sichuan Province of China.
34

In this section, we present a case study of landslide deformation monitoring using PSI and JSInSAR techniques.
The study area is Danba County, Sichuan Province, whose
coverage is approximately 600 km2, with a resolution of
2.3 m × 13.9 m. Twenty-six SAR images were acquired from
the Sentinel-1 satellite during a descending orbit, spanning
13 March 2017 to 12 September 2018. Figure 16(a) and (b)
shows the landslide deformation map using PSI and JSInSAR, respectively. Several slopes having large deformation
can be seen, with a maximum deformation rate of −60 mm
per year, which may be potential landslide hazard areas.
JSInSAR detected more deformation points than did PSI
and provided more abundant deformation information.
Additionally, the time-series InSAR technique is also used
in many other fields, such as earthquakes, volcanoes, and
mining [113]-[117].
CURRENT LIMITATIONS
Current time-series InSAR techniques suffer from the three
main limitations discussed in this section.
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE

MARCH 2020



IEEE Geoscience and Remote Sensing Magazine - March 2020

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