Transcript Slide 1
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Dr. YVN KRISHNAMURTHY Deputy Director, Regional Centres NRSC/ISRO, Hyderabad
Specific Risk (R
s
) = H x V x E
(value of)
Total Risk (R
t
) = H x ∑ (V x E
(value of
)
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… impact beyond the manageable limits of available resources ….
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Source: ESRI
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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
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,..
a. Quantify the hazard b. Construct vulnerability maps c. Quantify the
value
of elements at Risk
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 alert for preparedness and efficient response
Disaster Preparedness aims to reduce the loss from future disasters
Consists of planned measures to deal with a disaster
Involve mock drills
During the Disaster
RESPONSE
IMPLEMENTATION OF PLANNING OR MEASURES PUT IN PLACE IN THE PREPAREDNESS PHASE
SAVING LIFE Evacuation – PRIORITY Assessment and Emergency Relief Logistics and Supply Communication and information Management
Post - Disaster
RECONSTRUCTION
RESTORING NORMALCY RESCUE-RELIEF-REHABILITATION
(Source: Centre for Research on the Epidemiology of Disasters (CRED) Emergency Events Database EM-DAT)
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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 Information systems for capturing, storing, retrieving, analyzing and displaying spatial data USE A Powerful tool for solving real-world problems by spatial analysis Thematic data layers COMPONENTS
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Identification Locate Trends Where ?
What is there?
What if ?
Patterns What has changed ?
Optimum path What is the best route ?
Models What relations exists between ?
Provided….
The data is stored with: 2. Attribute Information: What is it?
1. Location Information: Where is it?
Species: Oak Height: 15m Age: 75 Yrs
51 ° N, 112 ° W
RASTER DATA REPRESENTATION Regular square tessellation is RASTER data model Features Raster Tessellation Sampling
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VECTOR DATA REPRESENTATION
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object based approach
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representation by coordinate system
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built on two common concepts
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decomposition of spatial objects into basic graphic elements
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spatial relation between these elements ( topology )
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basic graphic elements
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point, line, polygon
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6 6 5 5 Map A 5 2 2 5 5 2 2 6 2 6 2 6 1 1 4 4 Map B 4 8 8 4 4 8 1 1 1 8 8 8 MapC= MapA + 10 15 Map C 15 12 12 15 15 15 12 16 12 12 12 16 16 16 16 MapC1= MapA + MapB 7 9 7 9 Map C1 9 10 10 9 3 9 3 10 10 7 14 14 MapC2= ((MapA - MapB)/(MapA + MapB)) *100 Map C2 11 11 60 60 11 11 11 60 71 33 33 60 71 71 14 14 COMMON MODELLING APPLICATIONS
NETWORK ANALYSIS – SURFACE ANALYSIS – POINT PATTERN ANALYSIS – SITE SUITSBILITY ANALYSIS HAZARD / RISK MODELLING AM/FM, Route/Resource Management Runoff Modeling /Topographic Analysis Spatial extrapolation Nuclear waste disposal site identification Slope stability analysis, Flood Forecasting, Drought Modelling….
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DESK TOP GIS CLIENT-SERVER GIS MOBILE & WEB GIS
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Courtesy: ESRI
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Seamless integration of GIS Applications and Open-source DBMS/OS/Web-Servers/Web-Services/SDKs Interoperability Courtesy: ESRI
Remote Sensing / Satellite Communication /
Geospatial Modeling
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Risk Evaluation Mitigation Early Warning Monitoring / Tracking Supply / Logistic Communication Damage Assessment Relief / Rehabilitation
Pre-Disaster Phase During Disaster Post-Disaster
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Satellite, Aerial & Ground Systems Capacity Building CWC, IMD, GSI, MOES/ DOD, DST, FSI, ..
AWS Ground based DWR Int. Commitments (Int. Charter, Sentinal Asia, UN-SPIDER) Decision Support Centre (DSC) MHA, NDMA, MoA, PMO,
CabSectt [CMG], State
Agencies Networking, Early Warning [CWDS, IOTWS, INFRAS, ..] Products & Services – Damage Assessment, Monitoring, ..
Technology Development & Research - ASAR, Forecasting/ Simulation Models, ..
NDEM, Hazard Zonation, Risk Assessment, … Emergency Communication Network - VPN; Support - MSS Type-D, WLL VSAT, …
INDIAN IMAGING CAPABILITY Geo Stationary SUN-SYNCHRONOUS Megha Tropique 2011 GSAT 8 & 12 2011
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ResourceSat-2 LISS III, LISS IV, AWiFS 2011
During Response Phase Post Disaster Phase Flood Mapping Mitigation Phase Hazard Zonation Flood Control works Warning Phase Inundation Simulation
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Flood Hazard and Risk Evaluation Flood Early Warning Bank Erosion Flood Response Mobile Applications in Disaster Management
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Landslide Hazard Modelling Earthquake Hazard Modelling Forest Fire Alerts Nuclear Emergency Response System Agricultural Drought Vulnerability
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High Resolution Images
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Indian EO Missions - The Near Future
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Resourcesat 2 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… RISAT C-band SAR; 3-50 m 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) Megha Tropiques MADRAS, SAPHIR, ScaRab, GPS Occ.
INSAT 3D (VHRR) Oceansat 2 OCM, Scatterometer, ROSA I-STAG MAPI, MAVELI, MAGIS SARAL Ka-Altimeter & Argos RISAT Cartosat-3 SARAL MeghaTropiques Oceansat -2 INSAT 3D