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Gonsoroski E, Ahn Y, Harville EW, Countess N, Lichtveld MY, Pan K, Beitsch L, Sherchan SP, Uejio CK. Classifying Building Roof Damage Using High Resolution Imagery for Disaster Recovery. PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING 2023; 89:437-443. [PMID: 38486939 PMCID: PMC10939134 DOI: 10.14358/pers.22-00106r2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/17/2024]
Abstract
Post-hurricane damage assessments are often costly and time-consuming. Remotely sensed data provides a complementary method of data collection that can be completed comparatively quickly and at relatively low cost. This study focuses on 15 Florida counties impacted by Hurricane Michael (2018), which had category 5 strength winds at landfall. The present study evaluates the ability of aerial imagery collected to cost-effectively measure blue tarps on buildings for disaster impact and recovery. A support vector machine model classified blue tarp, and parcels received a damage indicator based on the model's prediction. The model had an overall accuracy of 85.3% with a sensitivity of 74% and a specificity of 96.7%. The model results indicated approximately 7% of all parcels (27 926 residential and 4431 commercial parcels) in the study area as having blue tarp present. The study results may benefit jurisdictions that lacked financial resources to conduct on-the-ground damage assessments.
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Affiliation(s)
- Elaina Gonsoroski
- Department of Geography, College of Social Sciences and Public Policy, Florida State University, Tallahassee, FL 32306
| | - Yoonjung Ahn
- Institute of Behavioral Science, University of Colorado, Boulder, CO 80309
| | - Emily W Harville
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA 70112
| | - Nathaniel Countess
- Department of Geography, College of Social Sciences and Public Policy, Florida State University, Tallahassee, FL 32306
| | - Maureen Y Lichtveld
- Department of Environmental and Occupational Health, School of Public Health, University of Pittsburgh, Pittsburgh, PA, 15261
| | - Ke Pan
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA 70112
| | - Leslie Beitsch
- Department of Behavioral Sciences and Social Medicine, College of Medicine, Florida State University, Tallahassee, FL 32306
| | - Samendra P Sherchan
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA 70112
| | - Christopher K Uejio
- Department of Geography, College of Social Sciences and Public Policy, Florida State University, Tallahassee, FL 32306
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Disasters, Diagnosis, and Distress: Multiple Perspectives, Populations, and Methodologies. Behav Sci (Basel) 2022; 12:bs12050152. [PMID: 35621449 PMCID: PMC9137573 DOI: 10.3390/bs12050152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Accepted: 05/11/2022] [Indexed: 11/17/2022] Open
Abstract
Disaster mental health is a consequential topic in today’s world in which disasters are increasing in both numbers and magnitude and inflicting deep psychological wounds across wide populations [...]
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Outcomes and Correlates of Major Depression in 11 Disaster Studies Using Consistent Methods. Behav Sci (Basel) 2021; 11:bs11010004. [PMID: 33401379 PMCID: PMC7823870 DOI: 10.3390/bs11010004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Revised: 11/17/2020] [Accepted: 12/22/2020] [Indexed: 11/17/2022] Open
Abstract
This study investigated psychosocial functioning and employment status in association with postdisaster major depression and its course in survivors of 11 different disasters in a sample of 808 directly-exposed survivors of 10 disasters and 373 survivors of the 11 September 2001 (9/11), terrorist attacks on New York City’s World Trade Center (total n = 1181). Participants were assessed between 1987 and 2007 with structured diagnostic interviews in a prospective longitudinal design. Consistent research methods allowed merging of the disaster databases for analysis using multivariate modeling. Postdisaster major depression in the study cohort from the 9/11 disaster was more than twice as prevalent as in the other disasters, possibly reflecting the greater psychosocial/interpersonal loss and bereavement experienced by 9/11 disaster survivors. At follow up, employment was associated with remission of postdisaster major depression, non-development of PTSD, and coping via family or friends. Functioning problems were associated with disaster injuries, but not with persistent major depression. This study is unprecedented in its large sample of survivors across the full range of disaster typology studied using consistent methods and full structured interview diagnostic assessment. These findings may help guide future interventions to address postdisaster depression.
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