Key-informant interviews, in Social Science and Public Health Perspectives on Post-Disaster Reconnaissance Data

This dataset is the product of 16 interviews with 18 participants, to capture perspectives on research needs, data relevance, and opportunities for integrating reconnaissance datasets into social and public health studies of wildfire impacts. Interviews explored participants’ disciplinary backgrounds, active or planned research related to the 2025 Los Angeles wildfires and other extreme events, as well as their assessments of how RAPID-collected aerial, street view, multispectral, and hyperspectral imagery could inform their work. Participants were recruited through wildfire coordination meetings, professional networks, and snowball sampling, and interviews were conducted via Zoom with informed consent. Interview recordings were transcribed and reviewed for accuracy. An interview summary document was used to capture key domains from each interview. These interview summaries were sent to interviewees to check for accuracy. This data publication includes the interview summaries, which contain summarized, de-identified data from the individual interviews. The key informant interview guide has also been shared, along with the documentation of the University of Washington’s Human Subjects Division exempt determination. Interview transcripts have not been made public because complete de-identification is not possible.