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Applications for remote sensing in the built environment
Helen Mulligan & Keiko Saito28 Jan 2010
Cambridge Architectural Research Limited Energy and Environment sector
Cambridge University Centre for Risk in the Built Environment Dept. of Architecture
Areas of interest
Building stock characterization
Disaster risk
- pre-event vulnerability
- disaster assessment
- post-event reconstruction progress
Energy use
- existing stock
- settlement pattern
- rates of growth and shrinkage
- verification of carbon reduction measures
NationalProvincial/regional
City/ census tract/post code Individual buildingsGlobal
A: 3D models of cities: geometric characteristics can be captured, however construction type, age and occupancy needs to be inferred, or, B: field survey using sampling methods needs to be carried out.
CAR/Fawcett methodology of
area classification
Marinescu: Urban texture classification
PAGER-WHE ?
CENSUS: YES/NO
AA: by P Sarabandi
The issue of scale
• FIVE RfP’s were published on the 18th Jan 2010, all concerning risk component of loss modelling, particularly building inventory (exposure) data collection methods.
• Deadline for submission: 18 March 2010.
• International consortia are being put together to bid for the RfP’s.
Five RfP’s on:
1. GEM ontology and taxonomy: links with CityGML? 2. Global consequences database3. Global exposure database: produce global exposure dataset using 4km x
4km grid cells4. Inventory capture tools5. Global vulnerability estimation methods
www.globalearthquakemodel.org
Websites
CAR: www.carltd.com
CURBE:www.arct.cam.ac.uk/curbe
Helen Mulligan: [email protected]
Keiko Saito: [email protected] / [email protected]
Contact
