Capturing building inventory data for earthquake risk assessment: The GEM perspective. Risk Global Component Inventory Data Capture Tools
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1 Risk Global Component Inventory Data Capture Tools Capturing building inventory data for earthquake risk assessment: The GEM perspective NCEO/CEOI Joint Science Conference, Nottingham 2/9/212 John Bevington, ImageCat Project Manager Inventory Data Capture Tools
2 ImageCat US (Long Beach, CA.) & UK (Guildford) offices R&D and Consultancy Application of EO and GIS data and tools for disaster risk management Post-disaster response Exposure development Recovery monitoring Cat model development Commercial arm: Exposure data development and enhancement Post-disaster response damage and loss assessment
3 ImageCat Collaborative Partners WORLDWIDE NORTH AMERICA EUROPE ASIA-PACIFIC
4 THE GLOBAL EARTHQUAKE MODEL Risk Global Component: Inventory Data Capture Tools
5 Catastrophe modelling Risk modelling helps answer: Where can events occur? How big will they be? What is the potential damage, economic and human losses? What are the financial consequences? Exposure Vulnerability Hazard Financial
6 Aims of IDCT Inventory Data Capture Tools Open source suite of tools for inventory generation Remote sensing Field observations Provide supplementary training and user guides Tailored for a variety of skill levels Per-building to city-wide scale Spatial Tiers Level 3 Building Neighborhood Level 2 City Province Level 1 Country Region Level Global
7 IDCT Project Team Advisory Committee Chair: Prof. Fumio Yamazaki 1. ImageCat (Lead) 2. British Geological Survey 3. CAR Ltd. 4. German Aerospace Centre (DLR) 5. German Research Centre for Geosciences (GFZ) 6. Karlsruhe Institute of Technology (KIT) 7. OpenGeo 8. SPA Risk LLC 9. Stanford University 1. University of Pavia 11. University of Nottingham 12. World Agency of Planetary Monitoring and Earthquake Risk Reduction (WAPMERR)
8 GEM Risk Global Consortia GEM Users & Beneficiaries (GEM Report 29/21)
9 IDCT Workflow - Basic
10 Task 1. Remote Sensing Goals Extraction of inventory boundary data from satellite or aerial imagery Multi-scale: from building footprints to urban/rural boundaries Generation of attributes: Per-building: including building height; roof type; building regularity Per-region: urban/rural; homogenous zones (e.g. land use, occupancy type, lateral load resisting system) Post-earthquake damage assessment tools Set of training and application guidelines for all tools Tools Open-source remote sensing toolkit QGIS, GRASS, Google Earth, BREC4GEM Open-source GIS functions for creating, cleaning & modifying data Crowdsourcing interface for damage assessment
11 Task 1. Remote Sensing Remote sensing & BREC testing inventory generation Remotely- Sensed Data Multispectral optical data Classification Supervised Unsupervised Building Classification BREC tool Resulting Footprint
12 Thailand (Com/Ind) Chile (Mixed) Thailand (Res) Pakistan (Mixed)
13
14 Protocol Development Challenge how to explain uncertainty to non-expert users Protocols Step-by-step guide for using QGIS, GRASS, BREC, Google Earth includes pre-processing, extraction of urban/non-urban areas, land-use classification, BREC footprint extraction, regularisation & cleaning data
15 IDCT Workflow - Basic
16 Direct Observation field tools Multi-platform Windows and Android OSs Standardized collection - GEM Taxonomy Contextual menus Geo-referenced collection. Support for ancillary media photos, video, voice
17 Direct Observation Tools Windows OS
18 Direct Observation Tools Android OS
19 IDCT Workflow - Basic
20 Mapping Schemes - SIDD Spatial Inventory and Damage Database Tool Conduit between data sets derived from both RS and DO Data based on a combination of regional defaults, expert opinion, survey data Easy creation and application of mapping schemes Iterative process to create inventory data
21 Real world application - Indonesia Work commissioned by the Government of Indonesia, Department of Finance Funded by AIFDR and GFDRR Creation of an exposure database for risk modelling ImageCat performed study through IDCT completed in May 211 Participation by local Indonesian companies
22 Mapping Schemes Direct Observation Remote Sensing Real world application - Indonesia Delineate urban/rural Define homogenous areas Mataram, Lombok Characterize development Calculation of structural attributes Floor Area Residential Commercial Industrial Other Occupancy Class 2 Masonry Mobile Home Steel Concrete Wood Model Building Type
23 Task 3. Mapping Schemes - Indonesia Pilot Building Counts and Floor Area (Sq M) by Land Use, Number of Stories and Structural Type Zone Land Use Basic Structural Type Detailed Structural Type Stories # of Buildings Total Sq Meters Airport Reinforced Concrete Frame , Commercial Masonry Confined masonry ,413 Commercial Masonry Confined masonry ,616 Commercial Masonry Reinforced masonry ,352 Commercial Masonry Unreinforced clay brick ,389 Commercial Masonry Unreinforced clay brick ,452 Commercial Masonry Unreinforced, with reinforced concrete floors ,191 Commercial Reinforced Concrete Frame ,211 Commercial Reinforced Concrete Frame ,21 Commercial Reinforced Concrete Shear wall ,214 Commercial Reinforced Concrete Shear wall ,5 Commercial Timber/Wood Open frame at grade ,346 Commercial Other Other ,692 Industrial Masonry Confined masonry ,21 Industrial Masonry Reinforced masonry ,263 Industrial Reinforced Concrete Frame ,185 Industrial Steel Braced frame ,875 Industrial Steel Braced frame 7 1 8,784 Industrial Steel Light frame (transverse-frame; longitudinal-steel rod tension-only bracing) ,777 Industrial Steel Moment frame ,24 Industrial Steel Moment frame ,667 Mataram Commercial Masonry Confined masonry ,158 Mataram Commercial Masonry Confined masonry ,322,726 Mataram Commercial Masonry Confined masonry ,887 Mataram Commercial Masonry Unreinforced clay brick ,445 Mataram Commercial Other Other ,991 Mataram Residential Masonry Confined masonry ,48,226 Mataram Residential Masonry Confined masonry ,359,222 Mataram Residential Masonry Confined masonry ,7,35 Mataram Residential Masonry Unreinforced clay brick ,793,956 Mataram Residential Timber/Wood Shear Wall at Grade ,913 Mataram Residential Other Other ,425 Port Masonry Confined masonry ,244
24 Testing Bishkek, Kyrgyzstan ISTANBUL Pylos, Greece Port-au-Prince, Haiti Pisco, Peru Padang, Indonesia South Pacific Christchurch, New Zealand 1&2: Tool Development & Beta testing (Inventory data): Bishkek; Padang; Pisco; Pylos; South Pacific. 3. Beta testing (Damage data): Christchurch; Port-au-Prince. 4. Demonstration: Istanbul
25 Key design concept Crowdsourcing
26 Summary EO data is a core resource for inventory capture Calculation of total building area and total number of buildings Land use classification for mapping schemes EO not in isolation - harnesses local knowledge, field surveys and engineering information GEM provides a standardized, open-source toolkit for seismic risk assessment worldwide Tools available in January 213 Watch this space!
27 Thank You For more information on IDCT, please contact: John Bevington:
Satellite and ground-based remote sensing for rapid seismic vulnerability assessment M. Wieland, M. Pittore
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