GI Technology for Disaster Management
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1 GI Technology for Disaster Management 17 th ICC on the Regional Space Applications Programme for Sustainable Development (RESAP) 26 th Nov 2013 Bangkok Thailand Period and time of seasonal in thailand Cycle of Disaster
2 Cycle of Disaster month/ region north North east central east east south west January February fire forest fire forest March fire forest April fire forest May June delay rain delay rain delay rain delay rain Cycle of Disaster month region July delay rain August September October November north North east central east delay rain delay rain delay rain south east west tidal surge landslide tidal surge landslide tidal surge landslide tidal surge landslide December
3 Cycle of Disaster Unpredictable Disaster - Tsunami - Earth quark - Mud flow - Etc. Level of Disaster Intensity, Vulnerability, Managing Competency and Risk Levels of Thailand Type of Disaster Intensity Vulanerability Managing Risk Level Flood H H M H Drought H M M M Fire H M M M Tropical Cyclone H H M M Landslide M L M M Earthquake L L P M Tsumani L H M M Flash /Mud L L M M Source: DDPM
4 Disaster Preparation Prevention Mission & Role of GISTDA on Disaster Management Response Recovery Geo Platform Thailand Monitoring System: TMS Satellite Images Image Preparation Image Correction Image Enhancement National Platform: Land Resources Marine Resources Disasters Environment Map Server Database Server End Users Policy makers Crisis managers Governors GISTDA Web GIS Portals & Interface s Web Server In Situ Data Data Geo-spatial Database Spatial Model Change detection Risk assessment Yield prediction Hydrology model Land zoning etc Thematic Processing Land cover Map Cloud Map Flood Area Map Fire Spot Map Erosion Map Etc. Information
5 Mission and Role Program and Planning to order and receive data form satellite Process and analysis data Damage assessment(household, agricultural area) Field survey Participation prevention and preparation in future Program and Planning (Preparation) TMD
6 Program and Planning (Preparation) RID HAII Program and Planning (Preparation) Order Satellite image in prediction disaster area
7 GISTDA GRS ftp RADARSAT THEOS AQUA MODIS Process and analysis data GISTDA HQ GISTDA TERRA MODIS within 4 hours daily basis tv, news, sms, www ftp WMS 13 Geospatial Database Satellite data FGDS In situ FROC: Flood Relief Operation Center Geospatial Database Process and analysis data.gistda.or.th
8 Process and analysis data.gistda.or.th HOT SPOT AND SMOKE PLUME Process and analysis data fire.gistda.or.th
9 Oil Spill Process and analysis data Unpredictable Disaster Process and analysis data No satellite image UAV teams for Disaster
10 Process and analysis data UAV teams for Disaster Unpredictable Disaster Landslide Process and analysis data No satellite image UAV teams for Disaster
11 Damage assessment (Recovery) Before No. of households After Example use satellites image for estimate households in face disaster Damage assessment (Recovery)
12 Field survey (Recovery) Field survey (Recovery)
13 Participation prevention and preparation in future (Prevention) Participation prevention and preparation in future (Prevention) HF X-Band coastalradar.gistda.or.th
14 Participation prevention and preparation in future (Prevention) Participation prevention and preparation in future (Prevention) Use this information to plan and development coastal for sustainable
15 Participation prevention and preparation in future (Prevention) eo.gistda.or.th/stormtracker/ Thank you
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