GIS is used in many phases of disaster management starting with planning before an event happens. Disaster relief involves the response phase of disaster management. GIS and GIS professionals can assist immediately by helping decision makers understand the scope of the damage and identify locations where people may be trapped, injured, or require medical support and rescue. Analyzing critical infrastructure (facilities essential for the operation and sustainability of health services, food services, and government operations) that is or could be damaged or destroyed is essential to restoring critical services and government operations.
Decision makers can assign response resources to the highest life safety and facility repair priorities. Another critical mission that geospatial technology supports is emergency supply chain management.
A few specific examples of how geospatial technology supports disaster relief include
During large scale disasters in remote locations throughout the world (based upon the type of emergency or disaster), GIS is used to:
Disasters in the form of earthquakes, fires, floods, hurricanes, and tornadoes have severe economic, financial, and social impacts on communities. Most disasters are characterized by short reaction/response times, overwhelming devastation to infrastructure, and a strain on the tangible and intangible resources of the affected community. Decision makers at local, state, and federal levels are expected to quickly implement plans to restore order and mitigate the aftermath of the disaster.
GIS technology is used to collect, store, analyze, and share geospatial information needed by agencies to effectively support operations and restore disaster-affected communities. Properly trained emergency planners and geospatial analysts can use GIS for disaster relief operations. They can use GIS to implement measures such as establishing communications sites, restoring electrical power, and planning traffic routes to carry emergency supplies to critical facilities. In many cases specific datasets will not be available to accommodate every possible contingency that may arise in disaster operations. For geospatial analysts, the challenge is to quickly gather data and accurately fuse it together to provide actionable information in support of emergency managers.
The geospatial industry must encourage the development of standard data models critical to response and relief operations. This leadership is essential to overcome issues of data interoperability when multiple jurisdictions are affected by a disaster. Access to geospatial data when local systems have been damaged or destroyed also becomes challenging. Establishing data warehouses and remote data back-up capability should be an essential component of disaster planning.
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