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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part Bl. Beijing 2008
102
As far as phase unwrapping algorithm is concerned, the freely
available phase unwrapping software called SNAPHU
developed by Chen and Zebker (Chen C W, Zebker, 2001) have
been chosen, after phase unwrapping, all pixels were calibrated
with respect to an area that was assumed stable, the zero
deformation value was taken as the mean of the phase values
located within a 3*3 neighbourhood in an area with high
coherence, in our case, the stable area was selected near to
Purple Mountain which is in the north east of the study area,
then, for each selected pixel, a joint estimation of DEM errors
and the model parameter vector p is carried out by solving the
equation( 10) directly using the least square method.
and the reference point for each image used for phase
calibration is marked with R.
-10
■-15
,W
No.
Master
(y-m-d)
Slave
(y-m-d)
^i(m)
B\\ (m)
T(d)
Sub.
1
1999-10-18
1999-07-05
-98.2
39.9
105
1
2
1999-10-18
1999-04-26
-77.4
42.4
175
1
3
1999-10-18
1998-12-07
-48.8
23.1
315
1
4
1999-10-18
1996-08-19
-86.9
-3.0
1158
1
5
1999-07-05
1999-04-26
34.9
2.6
70
1
6
1999-07-05
1998-12-07
86.2
-16.8
210
1
7
1999-07-05
1996-08-19
21.9
-43.0
1050
1
8
1999-04-26
1998-12-07
53.2
-19.3
140
1
9
1999-04-26
1996-08-19
43.7
-45.6
980
1
10
1998-12-07
1996-08-19
-86.5
-26.1
840
1
11
2000-04-10
1997-12-22
-66.5
-118.9
840
2
12
2000-04-10
1997-11-17
-73.2
-80.3
875
2
13
1997-12-22
1997-11-17
-67.5
38.2
35
2
Table 1:13 interferograms generated by 8 ERS2 SAR images
...
>4%
: r - -JET- - v I »*•'
M ■ v. %■ - .» - 1 *
"0 50 100 150 200 ¿50
Fig. 2: Generated Delauney triangulations
In order to provide an overall picture of the detected
deformation, the false colour map representing the cumulative
LOS deformation value for each investigated pixel was
presented in Fig. 3, superimposed on the greyscale
representation of the SAR image amplitude, areas where the
measurements accuracy affected by decorrelation phenomena
(coherence below the threshold) have been excluded from the
false colour map, to be noted that, the image acquired on august
19,1996 was assumed as reference image with zero deformation,
Fig. 3: LOS cumulative deformation maps superimposed on the
SAR amplitude of the investigate area
Significant deformation is clearly shown in Fig. 3, it can be
easily found that there are a large amount of sparsely distributed
deformation pixels along the Yangtze River and the Qinhuai
New River, most of the deformation areas are located in the
west and south of the Qinhuai River, while in the north and east
of the Qinhuai River, nearly no deformation was found;
Another large deformation area is in the centre of the
investigated area, which is on the alluvial floodplain of the
ancient Qinhuai River, and now is the old city of the Nanjing.
The largest deformation is 12.0cm, that the mean velocity of the
subsidence is about 3.3cm/year, this agrees well with geodetic
measurements carried out by some researchers.
In order to demonstrate the capability of the proposed approach
to follow the temporal evolution of the detected deformation,
some examples are provided in the following Fig. 4, presents
the chronological sequence of the computed deformations for
points (marked by A,B,C and D in Fig. 5) located in the area of
maximum subsidence, except the point C which is near the
reference point R, it can be seen that the observed deformations
are characterized by a rather continuous subsidence
phenomenon from 1996 until 2000, to be noted that, before the
year 1999, all points of surface subsidence are small, in the
image sequence of the December 7, 1998, even a amount of the
increase in performance, subsidence become dramatically since
the year 1999; it should be demonstrated whether this
phenomenon has some relations with the Yangtze River water
level change, particularly in the summer of 1998, the
devastating floods of the Yangtze River lead to increased
groundwater level.
From the above case study of ground deformation in Nanjing
area, it can be seen that SBAS-DInSAR method have the
following advantages: (1) Because of using small baseline
subsets, this method has coherent area significantly larger than
that of CR and PS method, not only to say traditional pointwise
measurement such as GPS and levelling; (2) Ground control
points is not necessary for SBAS-DInSAR method , (3) the use