リモートセンシングによる広域被害把握! - 東北大学 災害科学国際研究所

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h#p://www.regid.irides.tohoku.ac.jp/response/!
Bruno!Adriano!
Yanbing!Bai!
Hideomi!Gokon!(The!Univ.!of!Tokyo)!
Erick!Mas!
Shunichi!Koshimura!
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(ReGiD!Lab.)!
2!
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(ReGiD!Lab.)!
3!
JAXA!ALOSQ2/PALSARQ2!
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AcquisiUon!Ume:!!
PostQevent:!2016/04/17![VHQVV]!
PreQevent:!2015/05/17![VHQVV]!
AcquisiUon!Ume:!!
PostQevent:!2016/04/16![HH]!
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(ReGiD!Lab.)!
4!
1. 
!(Change!DetecUon)!
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2. 
(Machine!Learning)!
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(ReGiD!Lab.)!
5!
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!(Change!DetecUon!Approach)!
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(ReGiD!Lab.)!
6!
PALSARQ2!
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Sigma&naught+(σ°)+images+
•  AcquisiUon!mode:!StripMap!(SM1)!
•  Ascending!Orbit!direcUon!(azimuth)/!Right!side!observaUon!(range)!
•  VHQ!and!VVQpolarizaUons!
•  Data!format!Level!1.5!/!Pixel!Spacing:!2.5!m!
2015Q05Q17
2016Q04Q17
th+
Azimu
th+
Azimu
e+
rang
e+
rang
Assessed+Area+
σ°[dB]!
σ°[dB]!
Q40!
Q40!
+10!
+10!
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(ReGiD!Lab.)!
7!
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Kumamoto!city!
130°40'E
130°42'E
130°44'E
130°46'E
32°50'N
¹
Z
1.0
32°48'N
-0.4
Liu!et!al.,!2013)
Kumamoto!Castle
z=
32°46'N
d"=!
r"=
0
1
2
!
4
km
Source: Esri, DigitalGlobe, GeoEye, Earthstar
Geographics, CNES/Airbus DS, USDA, USGS, AEX,
Getmapping, Aerogrid, IGN, IGP, swisstopo, and the
GIS User Community
d
− 0.5⋅ r
max d
!
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Liu,!W.,!F.!Yamazaki,!H.!Gokon!and!S.!Koshimura,!
ExtracUon!of!TsunamiQFlooded!Areas!and!Damaged!
Buildings!in!the!2011!TohokuQOki!Earthquake!from!
TerraSARQX!Intensity!Images,!Earthquake!Spectra,!Vol.!
29,!No.!S1,!pp.!S183QS200,!2013.!doi:!
10.1193/1.4000120
(ReGiD!Lab.)!
8!
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Kumamoto!Castle
130°42'30"E
130°42'40"E
Pre&event+Image+(GSI)
130°42'20"E
Z
32°48'40"N
1.0
32°48'20"N
32°48'30"N
-0.4
0 50 100
!
200
m
Source: Esri, DigitalGlobe, GeoEye, Earthstar
Geographics, CNES/Airbus DS, USDA, USGS, AEX,
Getmapping, Aerogrid, IGN, IGP, swisstopo, and the
GIS User Community
(ReGiD!Lab.)!
Post&event+Image+(GSI)
130°42'10"E
9!
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(Machine!Learning!Approach)!
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(ReGiD!Lab.)!
10!
(Bai!et!al.,!2015)!
Post event ALOS-2 / PALSAR-2
(Level 1.1)
Geocoding
Calibration
Pre-Processing
Speckle filtering
HH backscattering coefficient
Polarimetric and texture feature extraction In built up area (by block)
(1 polarimetric feature and 36 texture features)
Training data
(Obtained from 2015 Nepal earthquake)
Random forest classification (Breiman et al., 2001)
Damage Mapping
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(ReGiD!Lab.)!
11!
PALSARQ2!
(2016/04/16)!
SigmaQnaught!(σ°)!image!
¹
th+
Azimu
!
•  AcquisiUon!mode:!StripMap!
(SM1)!
•  Ascending!Orbit!direcUon!
(azimuth)!
•  Right!side!observaUon!(range)!
•  HHQpolarizaUon!
•  Data!format!Level!1.1!
•  Pixel!Spacing:!2.5!m!
Sources: Esri, HERE, DeLorme,
USGS, Intermap, increment P
Corp., NRCAN, Esri Japan,
METI, Esri China (Hong Kong),
Esri (Thailand), MapmyIndia, ©
e+
rang
σ°[dB]!
+10!
Q40!
0
16/04/27!
5
10
20
km
Source: Esri, DigitalGlobe, GeoEye, Earthstar Geographics,
CNES/Airbus DS, USDA, USGS, AEX, Getmapping, Aerogrid, IGN,
IGP, swisstopo, and the GIS User Community
(ReGiD!Lab.)!
12!
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130°47'30"E
130°48'0"E
130°48'30"E
130°49'0"E
130°49'30"E
No damage
32°46'30"N
32°47'0"N
32°47'30"N
32°48'0"N
Damaged
0
250 500
!
1,000
m
Source: Esri, DigitalGlobe, GeoEye, Earthstar
Geographics, CNES/Airbus DS, USDA, USGS, AEX,
Getmapping, Aerogrid, IGN, IGP, swisstopo, and the
GIS User Community
(ReGiD!Lab.)!
13!
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2
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(ReGiD!Lab.)!
14!