Emergency Observation Report: GISTDA

Transcription

1 Emergency Observation Report: GISTDA by Dr.Chaowalit Silapathong Director of Geo-informatics Center Geo-informatics and Space Technology Development Agency

2 content GISTDA as DPN to Sentinel Asia GISTDA as National EO satellite-based information provide to Thailand: Flood disaster Lesson learn & Suggestions

3 GISTDA DPN Work Flow EOR From ADRC via THEOS Data Order Details in Sentinel Asia Emergency Request Form Visualized Imagery, Value-added Imagery, Value-added Product Processing THEOS Satellite Resolution merge Export to JPG Upload Data to FTP Server

4 Satellite Data Provided by GISTDA DPN (Oct 2011 Oct 2012) 15 requests from 12 Countries: Flood; 11 cases 7 provided Landslide; 1 case none (cloud) Earthquake; 1 case none (cloud) Volcano eruption; 1 case none (cloud) Wild fire; 1 case 1 provided 51 THEOS scenes provided (8 countries) from 57 scenes acquired

5 THAICHOTE SUPPORT THAICHOTE Multi Spectral Flood in Vietnam on 10 Oct Flood in Philippines on 21 Dec. 2011

6 THAICHOTE SUPPORT Continue THAICHOTE Multi Spectral Flood in Fiji on 28 Jan Flood in Kyrgyzstan on 3 April. 2012

7 Thailand Big Flood 2011 Actions of the Government Set up Flood Relief Operations Center : FROC Daily meeting and report to the Prime Minister for action Flood map derived from satellite data is a major source of information to support decision making 7

8 MODIS Management 2011 EOS & GIs System foraqua Flood GISTDA GRS TERRA MODIS THEOS RADARSAT ftp tv, news, sms, www within 4 hours daily basis WMS GISTDA HQ -Jpg -Shp file / Kmz -txt ftp GISTDA team at FROC FROC Geospatial Database 8 -Satellite data -FGDS -In situ FROC: Flood Relief Operation Center FROC Geospatial Database

9 Thailand Big Flood 2011: from EO satellite data 935 Radarsat images 387 THEOS (THAICHOTE) images 482 Terra/Aqua MODIS images ~ 50 satellite images (HR, SAR..) from international agencies million Rai / ~45,900 km 2

10 Observation / Preparing EOS Application for Flood Monitoring / Response Assessment / Recovery 2 times of acquisition; - Terra (morning) - Aqua (afternoon) Every 1-2 day acquisition; - RADARSAT 1&2 Large Coverage Small Low Spatial resolution High High Temporal resolution Low High resolution data - Pre and post flood (once) - During flood (hot spot)

11 Flood maps from satellite data Advance Users General

12 THEOS (THAICHOTE) images : Industrial estates flood monitoring 22 Nov Nov 2011 สระบ ร สหร ตนนคร โรจนะ ไฮเทค แฟคเตอร แลนด บางปะอ น อ.ลาดบ วหลวง อ.ไทรน อย อ.หนองส อ อ.ลาดบ วหลวง อ.หนองส อ นวนคร อ.ไทรน อย บางกระด ดอนเม อง บางช น ลาดกระบ ง

13 Information for decision makers: Inundation area: Greater Bangkok: daily 13

14 Information for decision makers Flood Water Volume1-2 day

15 Satellite Data for Flood Victim Compensation: Household คร วเร อนท ป กหล งคาเร อนใน พ นท ท คาดว าจะประสบภ ยน าท วม คร วเร อนท ป กหล งคาเร อนใน พ นท ประสบภ ยน าท วมข ง จำนวน ตำบล หล งคำเร อน ต.ค ยม วง 9 ต.ช มแสงสงครำม 350 ต.ท ำนำงงำม 69 ต.บ อทอง 2 ต.บำงระกำ 49 ต.ปล กแรด 2 ต.ว งอ ทก 23 รวมท งหมด 504

16 Satellite Data for Flood Victim Compensation: Agriculture พ นท เกษตรในน าท วม

17 Services: Data Distribution via Internet >1.4 million hits during Oct-Nov

18 Shp file Kmz for GIS users WMS OGC Open Source

19 Issues about Data & Information Multi-satellite: constellation Multi platform: data processing, integration, access In situ data: geospatial & non-geospatial Huge amounts of data, multi-source, multi-format, multiscale Data transfer: time consume Various requirements / requests of information Time constrain: real-time / near real time Resources / infrastructure / capacity how to manage 19

20 AQUA MODIS EOS & GIs System for Flood Management 2012 TERRA MODIS GISTDA GRS Thaichote RADARSAT ftp GISTDA HQ within 2-3 hours daily basis COSMO-SkyMed flood.gistda.or.th WMS Water Resources and Flood Management Committee Geospatial Database -Satellite data -FGDS -In situ National Water Info. Database Single Command-

21 Support from international agencies Big Flood 2011 Sentinel Asia International Disaster Charter UNITAR / UNOSAT JAXA Pi-SAR: L-band airborne SAR 21

22 Sentinel Asia 19 scenes of satellite data (TerraSAR-X: 6 images, Terra-Aster, IRS-R2, SPOT-5, DMC/Beijing-1) acquired and provided to GISTDA (ftp) 20 satellite products (jpg) available online ( 1-3 days for data delivery Data downloading time 4-6 hr/scene Data are useful for recovery activities but not for immediate response (which required very near real time data) 22

23 International Disaster Charter Charter Call 376 Activated by Sentinel Asia 33 scenes of satellite data (22 high resolution data from IKONOS-2, GEOEYE-1, WORLDVIEW 1&2) acquired and provided to GISTDA (download from 32 satellite products (jpg) available online ( 1-3 days for data delivery Data downloading time 4-6 hr/scene Data are useful for recovery activities but not for immediate response (which required very near real time data) 23

24 UNITAR / UNOSAT 9 satellite products from ENVISAT-ASAR, QuickBird-2, WorldView-1 and Terra-MODIS 2-4 days for data delivery(available online) satellite data requesting conflicted with GISTDA s acquisition plan (RADARSAT): missing of communication data products are final flood maps (not satellite data / GIS product) (PDF file) suitable for presentation but not for making decision 24

25 JAXA Pi-SAR: L-band airborne SAR 10 scenes acquired during November 2011 Aircraft and data processing based in Chiang Mai End products available 4 days after acquisition date (long process for standard product and data transfer) 25

26 Lesson learn: Support from international agencies 1-4 days for data delivery Data downloading time 4-6 hr/scene Data are useful for recovery activities but not for immediate response (which required very near real time data) Satellite data requesting conflicted with GISTDA s acquisition plan (RADARSAT): missing of communication Data products are final flood maps (not satellite data / GIS product) (PDF file): suitable for presentation but not for making decision 26

27 Suggestion to International Platforms for Disasters Classification of user groups according to their potential / ability on EO data analysis/application, then different level of data/products be properly provided fit to requirement EO satellite constellation & Co-programming of data acquisition to avoid duplication and to enhance frequency of data acquired over the area Development and Implementing of a Regional Geo-spatial Data Infrastructure : Portal and base data (Satellite data, FGDS ) linking the existing NSDI including HRD Networking of platforms / initiatives: avoid duplication of data / information, same standards single / one stop portal 27

28 Thank You for Your Attention