Profiling Flood Risk through Crowdsourced Flood Level Reports

Ma. Regina Justina E Estuar; John Noel C Victorino

Profiling Flood Risk through Crowdsourced Flood Level Reports

Ma. Regina Justina E Estuar
, John Noel C Victorino

Ateneo de Manila University

Ateneo de Manila University

Research output: Contribution to journal › Article › peer-review

Original language	American English
Journal	Department of Information Systems & Computer Science Faculty Publications
State	Published - Oct 1 2014

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Keywords

Floods
Crowdsourcing
Cities and towns
Sensors
Risk management
Monitoring
Educational institutions

Disciplines

Computer Sciences
Databases and Information Systems
Education
Emergency and Disaster Management

Access to Document

https://ieeexplore.ieee.org/document/7021800/keywords#keywords

Cite this

@article{5fa7013e06a54f3ebd8c712794ae16ff,

title = "Profiling Flood Risk through Crowdsourced Flood Level Reports",

keywords = "Floods, Crowdsourcing, Cities and towns, Sensors, Risk management, Monitoring, Educational institutions",

author = "Estuar, \{Ma. Regina Justina E\} and Victorino, \{John Noel C\}",

note = "J. N. C. Victorino and M. R. J. E. Estuar, {"}Profiling Flood Risk through Crowdsourced Flood Level Reports,{"} 2014 International Conference on IT Convergence and Security (ICITCS), Beijing, 2014, pp. 1-4. doi: 10.1109/ICITCS.2014.7021800",

year = "2014",

month = oct,

day = "1",

language = "American English",

journal = "Department of Information Systems \& Computer Science Faculty Publications",

}

TY - JOUR

T1 - Profiling Flood Risk through Crowdsourced Flood Level Reports

AU - Estuar, Ma. Regina Justina E

AU - Victorino, John Noel C

N1 - J. N. C. Victorino and M. R. J. E. Estuar, "Profiling Flood Risk through Crowdsourced Flood Level Reports," 2014 International Conference on IT Convergence and Security (ICITCS), Beijing, 2014, pp. 1-4. doi: 10.1109/ICITCS.2014.7021800

PY - 2014/10/1

Y1 - 2014/10/1

KW - Floods

KW - Crowdsourcing

KW - Cities and towns

KW - Sensors

KW - Risk management

KW - Monitoring

KW - Educational institutions

UR - https://archium.ateneo.edu/discs-faculty-pubs/13

UR - https://ieeexplore.ieee.org/document/7021800/keywords#keywords

M3 - Article

JO - Department of Information Systems & Computer Science Faculty Publications

JF - Department of Information Systems & Computer Science Faculty Publications

ER -

Profiling Flood Risk through Crowdsourced Flood Level Reports

UN SDGs

Keywords

Disciplines

Access to Document

Other files and links

Cite this