Flood Sense: Data Driven Predictions for Safer Communities

Flood is one of the most disastrous and catastrophic natural disasters in the world, which leads to significant human suffering, damage to infrastructure, and economic losses annually. Such disastrous occurrences cause mass casualties, property damage, and loss of vital public services, as well as damaging economic effects on impacted localities. The proposed system addresses these challenges by providing an Autonomous IoT-Enabled Early Warning Framework, which integrates various sensing technologies with smart analytics to provide complete, rapid, and efficient support for flood risk management.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-25
DOI
https://doi.org/10.5281/zenodo.16944284
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
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article

Flood Sense: Data Driven Predictions for Safer Communities

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Flood Sense: Data Driven Predictions for Safer Communities

article en

Abstract

Flood is one of the most disastrous and catastrophic natural disasters in the world, which leads to significant human suffering, damage to infrastructure, and economic losses annually. Such disastrous occurrences cause mass casualties, property damage, and loss of vital public services, as well as damaging economic effects on impacted localities. The proposed system addresses these challenges by providing an Autonomous IoT-Enabled Early Warning Framework, which integrates various sensing technologies with smart analytics to provide complete, rapid, and efficient support for flood risk management.

Zenodo (CERN European Organization for Nuclear Research)
Lovely Professional University (IN)
Openalex Percentile: Top 66%
Geochemistry and Geologic Mapping
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Flood Sense: Data Driven Predictions for Safer Communities · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS