1. Dr. YVN KRISHNAMURTHY Deputy Director, Regional Centres NRSC/ISRO, Hyderabad

2. Specific Risk (R s ) = H x V x E (value of) Total Risk (R t ) = H x ∑ (V x E (value of )

6. … impact beyond the manageable limits of available resources ….

8. Source: ESRI

9. Pre-Disaster Phase RISK IDENTIFICATION AND EVALUATION  The RISK identification is based upon the history of disasters that occurred in the past  Historical Data and Geo-environmental and terrain Conditions help to construct the hazard maps and to a. Quantify the hazard  The RISK evaluation is based on the vulnerability of elements at risk  Stock and state of constructions, infrastructure, facilities  Characteristics of population  Stock and state of societal and individual assets  Environment, topography, soil,.. b. Construct vulnerability maps c. Quantify the value of elements at Risk elements at Risk

10. Pre-Disaster Phase DISASTER MITIGATION, PREDICTIONS, WARNING AND PREPAREDNESS Disaster Mitigation  Reduce the Hazard or vulnerability or both  Continuous and long term efforts through:  ENGINEERING MEASURES  PHYSICAL PLANNING MEASURES  ECONOMIC MEASURES  MANAGEMENT & INSTITUTIONAL MEASURES  SOCIAL MEASURES Predictions and Warnings  Predictions and Warnings alert for preparedness and efficient response  Disaster Preparedness  Disaster Preparedness aims to reduce the loss from future disasters  Consists of planned measures to deal with a disaster  Involve mock drills

11. During the Disaster RESPONSE Post - Disaster RECONSTRUCTION  IMPLEMENTATION OF PLANNING OR MEASURES PUT IN PLACE IN THE PREPAREDNESS PHASE  SAVING LIFE – PRIORITY  Evacuation  Assessment and Emergency Relief  Logistics and Supply  Communication and information Management  RESTORING NORMALCY  RESCUE-RELIEF-REHABILITATION

12. (Source: Centre for Research on the Epidemiology of Disasters (CRED) Emergency Events Database EM-DAT)

13. Information systems for capturing, storing, retrieving, analyzing and displaying spatial data Database systems in which the data are spatially indexed, upon which a set of procedures are operated in order to answer queries about spatial entities in the database DEFINITIONS USE A Powerful tool for solving real-world problems by spatial analysis Thematic data layers People Method Data Hardware Software COMPONENTS

14. IdentificationWhere ? LocateWhat is there? TrendsWhat if ? PatternsWhat has changed ? Optimum pathWhat is the best route ? ModelsWhat relations exists between ? 1. Location Information: Where is it? 51°N, 112°W 2. Attribute Information: What is it? Species: Oak Height: 15m Age: 75 Yrs Provided…. The data is stored with:

15. RASTER DATA REPRESENTATION Tessellation Raster Features Sampling Regular square tessellation is RASTER data model

16. VECTOR DATA REPRESENTATION -object based approach -representation by coordinate system -built on two common concepts -decomposition of spatial objects into basic graphic elements -spatial relation between these elements (topology) -basic graphic elements -point, line, polygon

17.  NETWORK ANALYSIS – AM/FM, Route/Resource Management  SURFACE ANALYSIS – Runoff Modeling /Topographic Analysis  POINT PATTERN ANALYSIS – Spatial extrapolation  SITE SUITSBILITY ANALYSIS - Nuclear waste disposal site identification  HAZARD / RISK MODELLING - Slope stability analysis, Flood Forecasting, Drought Modelling…. COMMON MODELLING APPLICATIONS

18. Courtesy: ESRI DESK TOP GIS CLIENT-SERVER GIS MOBILE & WEB GIS

19.  Seamless integration of GIS Applications and Open-source DBMS/OS/Web-Servers/Web-Services/SDKs  Interoperability Courtesy: ESRI

20. Relief / Rehabilitation Damage Assessment Supply / Logistic Communication Pre-Disaster Phase During Disaster Risk Evaluation Mitigation Early Warning Monitoring / Tracking Post-Disaster Remote Sensing / Satellite Communication / Geospatial Modeling

21. Satellite, Aerial & Ground Systems Met/ Ocean Observations Emergency communication High-Res. Imaging Laser Terrain Mapper All weather mapping Real Time Mapping LEO Aerial Ground based AWS DWR Geo. Products & Services – Damage Assessment, Monitoring,.. NDEM, Hazard Zonation, Risk Assessment, … Networking, Early Warning [CWDS, IOTWS, INFRAS,..] MHA, NDMA, MoA, PMO, CabSectt [CMG], State Agencies Decision Support Centre (DSC) CWC, IMD, GSI, MOES/ DOD, DST, FSI,.. Emergency Communication Network - VPN; Support - MSS Type-D, WLL VSAT, … Technology Development & Research - ASAR, Forecasting/ Simulation Models,.. Capacity Building Int. Commitments (Int. Charter, Sentinal Asia, UN-SPIDER)

22. Megha- Tropique 2011 ResourceSat-2 LISS III, LISS IV, AWiFS ResourceSat-2 LISS III, LISS IV, AWiFS 2011 GSAT 8 & 12 2011 Geo Stationary INDIAN IMAGING CAPABILITY SUN-SYNCHRONOUS

23. Post Disaster Phase Flood Control works Mitigation Phase Hazard Zonation Warning Phase Inundation Simulation During Response Phase Flood Mapping

24. Flood Hazard and Risk Evaluation Flood Early Warning Bank Erosion Flood Response Mobile Applications in Disaster Management

25. Landslide Hazard Modelling Earthquake Hazard Modelling Forest Fire Alerts Nuclear Emergency Response System Agricultural Drought Vulnerability

26. High Resolution Images

27. Indian EO Missions - The Near Future 2008 2009 RISAT C-band SAR; 3-50 m 2010 2011 TES : Hyperspectral Hyper VNIR (64 ch., 25m, 25km) Hyper SWIR (64 ch., 25m, 25km) plus… Resourcesat 3 Wide Field LISS 3 (6 ch., 23.5m; 600 km) GEO-HR Imager HR VNIR (4 ch., 50m, 400km) HR IR (10 ch., 1km, 340 km) plus… Resourcesat 2 AWiFS (55m;800 km) LISS 3 (23.5m; 140 km) LISS 4 (5.8m; 70 km) Cartosat 3 PAN (0.3 m, 10 Km) MX (4 ch., 1.2m, 10km) Oceansat 2 OCM, Scatterometer, ROSA INSAT 3D (VHRR) SARAL Ka-Altimeter & Argos I-STAG MAPI, MAVELI, MAGIS Megha Tropiques MADRAS, SAPHIR, ScaRab, GPS Occ. Land & Water Cartographic Ocean & Atmospheric Resourcesat 2 RISAT Cartosat-3 SARAL MeghaTropiques Oceansat -2 INSAT 3D