Miscellaneous Reports
Permanent URI for this collection
Browse
Browsing Miscellaneous Reports by Author "Adams, Beverley"
Now showing 1 - 2 of 2
Results Per Page
Sort Options
Item Assessing Community-scale Damage, Disruption, and Early Recovery in Post-earthquake Haiti(Disaster Research Center, 2010) Adams, Beverley; Amyx, Paul; Bevington, John; Brink, Susan; Chang, Stephanie; Davidson, Rachel; Eguchi, Ronald; Hill, Arleen; Honey, Matthew; Mills, Robin; Panjwani, Dilnoor; Pyatt, SarahThis report describes research on community-scale damage and disruption in Haiti after the devastating January 12, 2010, earthquake. Data collection was undertaken with support from the National Science Foundation through RAPID grant no. CMMI-1034876. The project had three specific objectives: (1) to gather perishable data on physical damage and disruption, (2) to document and analyze post-earthquake disruption, including its relationship to damage, and (3) to test a new tool and measurement scale for documenting disruption.Item Uncovering Community Disruption Using Remote Sensing: An Assessment of Early Recovery in Post-earthquake Haiti(Disaster Research Center, 2010) Bevington, John; Pyatt, Sarah; Hill, Arleen; Honey, Matthew; Adams, Beverley; Davidson, Rachel; Brink, Susan; Chang, Stephanie; Panjwani, Dilnoor; Mills, Robin; Amyx, Paul; Eguchi, RonThis work is part of an exploratory study that seeks to describe the levels of community-scale building damage and socio-economic disruption following the January 2010 Haiti earthquake. Damage and disruption were analyzed for pre-event, post-event, and early recovery time periods in seven Haitian communities. Specifically here, remote sensing analysis related to early recovery and a remote sensing-based early recovery scale are presented. Damage datasets from the GEO-CAN post-disaster assessment were combined with analyses of fine resolution satellite imagery, captured 4 months after the earthquake, to quantify the early recovery status of damaged buildings. Disruption was established from community-level interviews conducted in May 2010. Preliminary results show little correlation between disruption and physical damage, although the integration of remote sensing, field data, interviews and community meetings was a successful approach for assessing disruption. Remote sensing was seen to be an effective tool in establishing levels of early recovery and supporting cross-community comparisons.