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Applications for remote sensing in the built environment

Applications for remote sensing in the built environment. Cambridge Architectural Research Limited Energy and Environment sector Cambridge University Centre for Risk in the Built Environment Dept. of Architecture. Helen Mulligan & Keiko Saito 28 Jan 2010. Areas of interest.

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Applications for remote sensing in the built environment

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  1. Applications for remote sensing in the built environment Cambridge Architectural Research LimitedEnergy and Environment sectorCambridge University Centre for Risk in the Built EnvironmentDept. of Architecture Helen Mulligan & Keiko Saito28 Jan 2010

  2. 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

  3. 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. The issue of scale Provincial/regional City/ census tract/post code Global National Individual buildings ? PAGER-WHE CENSUS: YES/NO CAR/Fawcett methodology of area classification Marinescu: Urban texture classification A A: by P Sarabandi

  4. 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. www.globalearthquakemodel.org • Five RfP’s on: • GEM ontology and taxonomy: links with CityGML? • Global consequences database • Global exposure database: produce global exposure dataset using 4km x 4km grid cells • Inventory capture tools • Global vulnerability estimation methods

  5. Contact Websites CAR: www.carltd.com CURBE:www.arct.cam.ac.uk/curbe Helen Mulligan: hm@carltd.com Keiko Saito: keiko.saito@carltd.com / ks269@cam.ac.uk

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