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RECOVER: An Automated Cloud-Based Decision Support System for Post-fire Rehabilitation PlanningRECOVER is a site-specific decision support system that automatically brings together in a single analysis environment the information necessary for post-fire rehabilitation decision-making. After a major wildfire, law requires that the federal land management agencies certify a comprehensive plan for public safety, burned area stabilization, resource protection, and site recovery. These burned area emergency response (BAER) plans are a crucial part of our national response to wildfire disasters and depend heavily on data acquired from a variety of sources. Final plans are due within 21 days of control of a major wildfire and become the guiding document for managing the activities and budgets for all subsequent remediation efforts. There are few instances in the federal government where plans of such wide-ranging scope and importance are assembled on such short notice and translated into action more quickly. RECOVER has been designed in close collaboration with our agency partners and directly addresses their high-priority decision-making requirements. In response to a fire detection event, RECOVER uses the rapid resource allocation capabilities of cloud computing to automatically collect Earth observational data, derived decision products, and historic biophysical data so that when the fire is contained, BAER teams will have a complete and ready-to-use RECOVER dataset and GIS analysis environment customized for the target wildfire. Initial studies suggest that RECOVER can transform this information-intensive process by reducing from days to a matter of minutes the time required to assemble and deliver crucial wildfire-related data.
Document ID
20150000369
Document Type
Conference Paper
Authors
Schnase, John L. (NASA Goddard Space Flight Center Greenbelt, MD United States)
Carroll, Mark (Science Systems and Applications, Inc. Greenbelt, MD, United States)
Weber, K. T. (Idaho State Univ. Pocatello, ID, United States)
Brown, Molly E. (NASA Goddard Space Flight Center Greenbelt, MD United States)
Gill, Roger L. (INNOVIM Greenbelt, MD, United States)
Wooten, Margaret (Science Systems and Applications, Inc. Greenbelt, MD, United States)
May J. (Idaho State Univ. Pocatello, ID, United States)
Serr, K. (Idaho State Univ. Pocatello, ID, United States)
Smith, E. (Idaho State Univ. Pocatello, ID, United States)
Goldsby, R. (Idaho State Univ. Pocatello, ID, United States)
Newtoff, Kiersten (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Bradford, Kathryn (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Doyle Colin S. (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Volker, Emily (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Weber, Samuel J. (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Date Acquired
January 12, 2015
Publication Date
November 17, 2014
Subject Category
Documentation and Information Science
Report/Patent Number
GSFC-E-DAA-TN18625
Meeting Information
PECORA 19: Joint Symposium of ISPRS Technical Commission 1 and IAG Commission 4(Denver, CO)
Funding Number(s)
CONTRACT_GRANT: NNG15HQ01C
CONTRACT_GRANT: NNG09HR00C
CONTRACT_GRANT: NNG13HQ01C
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
cloud computing
burned area emergency response
decision support

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