Geospatial Methods and Tools for Disaster Risk Management and Hazards Mapping

Type: Paper
Theme:
Sponsor Groups:
Poster #:
Day: 4/7/2019
Start / End Time: 9:55 AM / 11:35 AM
Room: Cleveland 1, Marriott, Mezzanine Level
Organizers: Erica Goto
Chairs: Angela Marcela Suarez

Call for Submissions

We invite abstract submissions that contribute to the debate over the role of geographic information, geospatial methods and tools in disaster risk management. We are particularly interested in different approaches, methods and tools to use geographic information in order to reduce risk, prevent disaster, and advance disaster risk management.


To join our Session, please, submit your abstract through AAG website (http://www.aag.org/cs/annualmeeting/register) and send your PIN by email to Marcela Suárez or Erica Goto.

Marcela Suárez: amsuarez@ucsb.edu
Erica A. Goto: ericagoto@ucsb.edu


Description

Disaster risk management involves actions such as preventing future disasters, contributing to rebuilding strong and resilient communities after a disaster, and managing residual risk (UNISDR, 2018). Geographic research contributions can be seen across all stages of disaster risk management: preparedness, response, recovery, and mitigation. Preparedness includes all the actions taken before the disaster occur, such as hazards and risk assessments, and deploying warning systems. Response refers to the emergency management itself that happens during the event occurrence and includes tasks such as evacuation. Recovery and mitigation include all planning actions taken after disasters occur. Geographic information plays a key role in all of these stages.

Geographic information, along with geospatial tools and methods, contributes directly to disaster risk management. The aim is to inform citizens and decision-makers about disaster events, risk prone-areas, so helping them to make better urban planning decisions in order to prevent disasters in the future. The tools also inform the design of warning systems and evacuation plans as well as constitute means to communicate and educate the public about natural hazards and risk.

We invite theoretical and empirical contributions exploring:

- Methods or tools to collect geospatial information for risk assessment
- Geospatial methods or tools for hazards, vulnerability and risk assessment
- Methods or tools to inform citizens or government about disasters and risk-prone areas
- Educational tools for risk disaster reduction using geospatial information
- Spatial data management and infrastructure for crisis management
- Free and Open Source Tools for Geospatial Analysis and Mapping for risk management
- Assessing the quality of geographic information for crisis management
- Geovisual analytics targeted to support emergency response
- Methods and tools using remote sensing techniques to assess natural hazards risk
- Citizen science applications for disaster management
- Geospatial methods and tools to analyze user-generated content in social media for emergency response
- Design and deployment of early warning systems and public education


Agenda

Type Details Minutes Start Time
Presenter Erica Goto*, UCSB, Using GIS to assess landslide risk areas: comparing results of AHP-based methodology and Logistic Regression 20 9:55 AM
Presenter Sophia B Liu*, U.S. Geological Survey (USGS), Emily Martuscello, Federal Emergency Management Agency (FEMA), Crowdsourcing Playbook and Activations for Emergency Management in Response to Hurricanes Maria, Florence, and Michael 20 10:15 AM
Presenter A. Marcela Suarez*, University of California - Santa Barbara, Using Citizen Reports and Authoritative Geographic Information to Assess Tweets Reliability: The Case of Weather-Related Disaster Events 20 10:35 AM
Presenter Carolynne Hultquist*, Pennsylvania State University, Validation of Citizen Science Data during Hurricane Florence 20 10:55 AM
Presenter JULIANO DE LIMA*, GEORIO, MARCUS PEIGAS PACHECO, UERJ, DENISE M S GERSCOVICH, UERJ, Elaboration of Geotechnical Risk Susceptibility Maps in the Community of Rocinha using the Probabilistic Model and Geostatistics Tool 20 11:15 AM

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