Heterogeneous geographic data visualization to support decision-making in flood risk management

• Grant number: 15/05929-3
• Support Opportunities: Scholarships in Brazil - Master
• Start date: July 01, 2015
• End date: January 31, 2017
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
• Agreement: Coordination of Improvement of Higher Education Personnel (CAPES)
• Principal Investigator: João Porto de Albuquerque
• Grantee: Thiago Henrique Poiani
• Host Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil

Abstract

Floods are frequent and impactful in the world, causing more economic damage than others natural events. To minimize these impacts and improve the resilience of vulnerable communities against this disaster, Geographic Information Systems monitor geospatial data from sensor networks, social media, authoritative data and volunteered information, contributing to the flood risk management. The integration of heterogeneous data sources has a major potential for the knowledge discovery to mitigate risks. Therefore, this research project proposes an interactive visualization approach of heterogeneous geographic data to support decision making in flood risk management. (AU)

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

POIANI, THIAGO HENRIQUE; ROCHA, ROBERTO DOS SANTOS; DEGROSSI, LIVIA CASTRO; DE ALBUQUERQUE, JOAO PORTO; BUI, TX; SPRAGUE, RH. Potential of Collaborative Mapping for Disaster Relief: A Case Study of OpenStreetMap in the Nepal Earthquake 2015. PROCEEDINGS OF THE 49TH ANNUAL HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES (HICSS 2016), v. N/A, p. 10-pg., 2016-01-01. (15/05929-3)