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Determining flooded areas using crowd sensing data and weather radar precipitation : a case study in Brazil
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Horita, F. E. A., Vilela, R. B., Martins, R. G., Bressiani, D. A., Palma, G. and Porto de Albuquerque, João (2018) Determining flooded areas using crowd sensing data and weather radar precipitation : a case study in Brazil. In: ISCRAM 2018, Rochester, NY, USA, 20-23 May 2018. Published in: ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management pp. 1040-1050. ISBN 9780692127605.
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WRAP-determining-flooded-crowd-data-radar-Brazil-Horita-Albuquerque-2018.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons Attribution 4.0. Download (1283Kb) | Preview |
Official URL: https://iscram2018.rit.edu/sites/rit.edu.iscram201...
Abstract
Crowd sensing data (also known as crowdsourcing) are of great significance to support flood risk management. With the growing volume of available data in the past few years, researchers have used in situ sensor data to filter and prioritize volunteers’ information. Nevertheless, stationary, in situ sensors are only capable of monitoring a limited region, and this could hamper proper decision-making. This study investigates the use of weather radar precipitation to support the processing of crowd sensing data with the goal of improving situation awareness in a disaster and early warnings (e.g., floods). Results from a case study carried out in the city of São Paulo, Brazil, demonstrate that weather radar data are able to validate flooded areas identified from clusters of crowd sensing data. In this manner, crowd sensing and weather radar data together can not only help engage citizens, but also generate high-quality data at finer spatial and temporal resolutions to improve the decision-making related to weather-related disaster events.
| Item Type: | Conference Item (Paper) | |||||||||||||||
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| Subjects: | G Geography. Anthropology. Recreation > GB Physical geography H Social Sciences > HV Social pathology. Social and public welfare Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software |
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| Divisions: | Faculty of Social Sciences > Centre for Interdisciplinary Methodologies | |||||||||||||||
| Library of Congress Subject Headings (LCSH): | Floods -- Prevention -- São Paulo (Brazil) -- Case studies, Crowdsourcing, Emergency management, Weather radar networks | |||||||||||||||
| Journal or Publication Title: | ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management | |||||||||||||||
| ISBN: | 9780692127605 | |||||||||||||||
| Official Date: | 2018 | |||||||||||||||
| Dates: |
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| Page Range: | pp. 1040-1050 | |||||||||||||||
| Status: | Peer Reviewed | |||||||||||||||
| Publication Status: | Published | |||||||||||||||
| Access rights to Published version: | Open Access | |||||||||||||||
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| Conference Paper Type: | Paper | |||||||||||||||
| Title of Event: | ISCRAM 2018 | |||||||||||||||
| Type of Event: | Conference | |||||||||||||||
| Location of Event: | Rochester, NY, USA | |||||||||||||||
| Date(s) of Event: | 20-23 May 2018 | |||||||||||||||
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