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Government CIO Outlook | Tuesday, June 29, 2021
Record-breaking natural disasters have devastated communities worldwide with unprecedented intensity and frequency in recent years. Since this worrying trend shows no signs of slowing down, the importance of investing in and incorporating advanced GIS technology into every phase of the disaster planning and response framework cannot be overestimated.
FREMONT, CA: Industries and governments use Geographic information systems (GIS) tools to understand things better, from urban planning to climate change. GIS can quickly turn large amounts of data into actionable insights and communicate results effectively to protect public health, minimize damage and save lives. Here are how GIS technologies improve disaster response operations and the challenges facing disaster response teams.
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Mitigation
Mitigation is a set of sustained long-term activities aimed at disaster risk reduction and prevention by identifying potential hazards and community relationships. Geospatial can inform disaster risk modeling by rapidly analyzing and visualizing spatiotemporal data to understand these potential hazards' impacts better. Disaster response jobs are essential than ever as data streams continue to expand exponentially. Mitigation activities include policy changes, such as building security code requirements, zoning restrictions on development in areas deemed hazardous, and benefit-cost analysis using geospatial analysis. Utilities, for example, can monitor power lines in real-time using data visualization tools to identify potential maintenance needs proactively. Public policy can mitigate disaster management and response costs, which the insurance industry's private sector would otherwise bear.
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Preparedness
Preparedness involves developing an emergency operations plan with a community response checklist by identifying data requirements, developing datasets, and sharing data across government and NGO agencies. This involves short-term, collaborative pre-disaster activities that ultimately enhance readiness for inter-agency disaster response and recovery, such as developing specific response and recovery-related applications and establishing a dataset with standard features, reporting practices, and access procedures for all potential respondents. A disaster preparedness challenge is developing appropriate techniques to reach diverse communities. For example, GIS technologies are used for quantitative disaster learning and better disaster response plans for different traditionally underserved groups and communities. While using average numbers is the norm, the average should not focus on its current threshold. For example, evacuation planning does not currently consider elderly preparedness, asthma, people with disabilities, and people with pets.
GIS technologies support baseline data, infrastructure, and asset locations such as generators, building equipment, medical resources, sandbags, and shelters.
Response
GIS assists in the immediate aftermath by assisting in the acquisition, processing, analysis, distribution, and conversion of images into impact area maps overlaid with information such as damage locations, human population locations, inventories of critical supply locations, vulnerable areas, and potential timing of power restoration, and downstream maps In epidemics like Covid-19, in interactive visual analytics, geospatial data are used to track virus spread and derive insights from massive datasets.
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