IN33B-1798
Challenges and Opportunities in Geocuration for Disaster Response

Wednesday, 16 December 2015
Poster Hall (Moscone South)
Andrew Molthan1, Jason Eric Burks1, Kevin McGrath2, Rahul Ramachandran1 and H Michael Goodman1, (1)NASA Marshall Space Flight Center, Huntsville, AL, United States, (2)Jacobs, Inc. / NASA Marshall Space Flight Center, Huntsville, AL, United States
Abstract:
Following a significant disaster event, a wide range of resources and science teams are leveraged to aid in the response effort. Often, these efforts include the acquisition and use of non-traditional data sets, or the generation of prototyped products using new image analysis techniques. These efforts may also include acquisition and hosting of remote sensing data sets from domestic and international partners – from the public or private sector – which differ from standard remote sensing holdings, or may be accompanied by specific licensing agreements that limit their use and dissemination. In addition, at time periods well beyond the initial disaster event, other science teams may incorporate airborne or field campaign measurements that support the assessment of damage but also acquire information necessary to address key science questions about the specific disaster or a broader category of similar events.

The immediate need to gather data and provide information to the response effort can result in large data holdings that require detailed curation to improve the efficiency of response efforts, but also ensure that collected data can be used on a longer time scale to address underlying science questions. Data collected in response to a disaster event may be thought of as a “field campaign” – consisting of traditional data sets managed through physical or virtual holdings, but also a larger number of ad hoc data collections, derived products, and metadata, including the potential for airborne or ground-based data collections. Appropriate metadata and documentation are needed to ensure that derived products have traceability to their source data, along with documentation of algorithm authors, versions, and outcomes so that others can reproduce their results, and to ensure that data sets remain available and well-documented for longer-term analysis that may in turn create new products relevant to understanding a type of disaster, or support future recovery efforts. The authors will review some activities related to recent data acquisitions for severe weather events and the 2015 Nepal Earthquake, discuss challenges and opportunities for geocuration, and suggest means of improving the management of data and scientific collaboration if applied to future events.