Disaster reduction by optical satellites. Earthquake in Republic of Korea. Time series SAR analysis

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1 Ministry of Security and Public Administration National Disaster Management Institute

2 Ⅰ Disaster reduction by optical satellites Ⅱ Earthquake in Republic of Korea Ⅲ Time series SAR analysis

3 Ⅰ Disaster reduction by optical satellites 2

4 Increasing the Potential Threat Rapid industrialization and urbanization & decreasing forested area Increasing migration to the area near to river and mountain Weak & lack of social infrastructure, Glacier Retreat in the Arctic and the Antarctic Bigger and Diverse Disasters Super Typhoon RUSA( 02) & MAEMI( 03) (South Korea) Tsunami ( 04, Southwest Asia), Hurricane KATRINA ( 05, USA) & GUSTAV ( 08, Cuba) Russia Wildfire ( 10) China Sichuan Earthquake ( 08) Heavy Rain ( 05, 10) Myanmar Cyclone NARGIS ( 08) Southwest Asia Tsunami ( 04) South Korea Typhoon RUSA ( 02) Typhoon MAEMI ( 03) Heavy Snow ( 04) Big Forest Fire ( 05) Earthquake ( 10, Ulsan City) Japan Niigata Earthquake ( 07) Taiwan Typhoon MORAKOT ( 09) Haiti Earthquake ( 10) Australia Wildfire ( 09) Chile Earthquake ( 10) U.S.A Hurricane KATRINA ( 05) Wildfire ( 07, California) Cuba Hurricane GUSTAV ( 08) 3

5 Overview Overview When : ~ Where : East Sea area in the Kangwondo Damage : About 17 million dollars at 10 cities traffic paralysis (due to heavy snow in 100 years) Snowfall Area near the East Sea (cm) Heavy snowfall reason in the East Sea Cold air from the North Pole Warm water vapor Heavy snowfall pre. Newsflash(11.14)

6 Process 2.11 (1 day) Event occur NDSI : Normalized Difference Snow Index 2.12 (2 day) 2.14 (4 day ) 2.15 (5 day) 1 st team meeting Discuss with KARI Report to International Charter Literature search 2.14 (4 day) 2.15 (5 day) Press, institute search 2.16 (6 day) 2 nd team meeting 2.12~16 (6 day) 2.19 (9 day) Analysis method search Meteorological data 2.17 (7 day) 2.18 (8 day) NASA: MODIS data Apply NDSI algorithm 2.15~17 (7 day ) JAXA ALOS image acquisition 2.15~17 (7 day ) SPOT image acquisition 2.15~17 (7 day ) DMCII image acquisition 2.17 (7 day ) NDMS(traffic map) 2.19 (9 day ) Apply Change Detection 2.19 (9 day ) GIS analysis 2.21 (11 day) 2.22 (12 day) 3.3 (21 day) 3 rd team meeting Summary Press release

7 Additional Info. Manned Observatory (site: 92) Meteorological material Source KMA service Site Manned observatory (site: 92) Available Various meteorological data Required Humidity + Snow + Temperature Obj. period Real time Obj. time PM 3 Observatory is classified to manned and unmanned. The AWS(automatic weather system) has no snow info. The AWS reaches to 600.

8 NDSI Calc. NDSI: Normalized Difference Snow Index

9 Result ~4 0~2-1~0-1~-2-2~-7 0~20 20~40 40~60 60~80 80~ ~10 10~20 20~30 30~94

10 Analysis Vinyl house damaged area Slate roof damaged area Vinyl house damage Slate roof damage Vinyl house Slate roof Estimated area 444km 2 - Doubt area 2,884km 2 1,220km 2 Vinyl house damage Slate roof damage Vinyl house Slate roof Estimated area 571km 2 - Doubt area 2,093km 2 2,473km 2

11 10 Analysis

12 Overview Overview (6.28) Period : ~ (over two month) Rainfall : 80mm (31% of the average rainfall) Storage : Agricultural reservoir 41%(68% of 2011), Multi-purpose reservoir 34.3%(95% of 2011) Damage - South Korea : Field about 6,400 ha wilted. - North Korea : Crops growth delayed over 30,000ha in the Hwanghaedo and 10,000ha in the Pyeungannamdo KOMPSAT-2 Launch : Optical bands : 4 (Pan1 + Multi3) Spatial Resolution : 1.0m(Pan), 4.0m(Multi) Revisit time : 28 day Swath width : 15km Altitude: 685km

13 Reservoirs

14 Temporal Comparison

15 Temporal Comparison

16 Satellite data receiver Image processing/analysis Generating the drought results Real time data Real time processing Near-real time data receiving Real time satellite imagery processing system Automatic system for drought products by efficient systems construction 15

17 Relationship between drought and vegetation - Drought leads the vegetation stress due to moisture deficiency - Chlorophyll in leaf is reduced due to moisture deficiency Averaging of Vegetation index Time-series relative analysis of vegetation index 16

18 Vegetation Index DB Satellite imagery Statistics calculation Reference data 1 2 Image pre-processing VI data 3 Drought processing Noise remove User

19 Module embodiment

20 과거사례를통한알고리즘검증 April May June July August Drought map from April to August, 년도북한지역가뭄 2012 년북한지역가뭄 April May June July August Drought map from April to August, 2012

21 Drought analysis result in , June 2013, July 2013, Aug. 2013, Sep. 2013, Oct.

22 Ⅱ Earthquake in Republic of Korea 21

23 Earthquake monitoring from 1978 to 2012 Frequent location: west and south side After 1999, the number of event is increased mean; 44.5 No. mean;

24 Baengnyeong-do earthquake in Incheon Time: 07h 02m (am), 18. May Epicenter: 31km (South ) from Baengnyeong-do (Latitude: N 37.68, Longitude: E ) M L : 4.9 M L < ~ ~ ~4.9 Total No < ~ > 23

25 Baekdu mountain Elevation: 2,744m Volcanic eruption history: 1597, 1668,1702 year Caldera - Wide: 5km, Deep: 850m 24

26 Baekdu mountain volcanic ash at 10 th century Effect area of volcanic ash Thickness of volcanic ash BAEKDU Japan 25

27 Project #1: Development of Risk assessment Technology for volcanic disaster from ash dispersion, flood, lahars, PDC Project #2: Development of mitigation measure and management manual for volcanic disaster from ash dispersion, flood, lahars, PDC Project #3: Development of IT-based response system for volcanic disaster Project #4: Development of international collaborative network for volcanic disaster Plan and scenario base research Volcanic ash spread range Location (North Korea) 26

28 27

29 Ⅲ Time series SAR analysis 28

30 Time series ground subsidence analysis using SAR images <Time-Series InSAR> <Persistent Scatterer> Methods : PSInSAR <Small Baseline> Methods : SBAS Interferogram generation using single Master image Interferogram generation Interferogram generation by the small baseline pairs < PSInSAR network > < SBAS network > 29

31 Over 30 images (ALOS/PALSAR ) 2008~

32 31

33 Parameter Design life mass Center frequency Standard mode High resolution mode Wide swath mode Polarization Value 5 years 520kg 9.66GHz (X-band) 3.2cm wavelength 3m GSD, 30km swath 1m GSD, 5km swath 20m GSD, 100km swath HH,HV, VH, VV Lunched at

34 33

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