ReviewSensors (Basel, Switzerland)2019
Computer Vision and IoT-Based Sensors in Flood Monitoring and Mapping: A Systematic Review.
Review in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- Vision-Based Environmental Sensing for Flood Risk Forecasting: Dataset Relabeling and Temporal Multi-Task Learning.Sensors (Basel, Switzerland) · 2026Article
- Development of an AIoT-Based Early Flash-Flood Warning System for Smart Rural Disaster Resilience.Sensors (Basel, Switzerland) · 2026Article
- A fire image transmission method via automatic fire alarm system data bus for remote fire verification in unattended locations: design and experiment.Scientific reports · 2026Article
- Development of a Secured IoT-Based Flood Monitoring and Forecasting System Using Genetic-Algorithm-Based Neuro-Fuzzy Network.Sensors (Basel, Switzerland) · 2025Article
- A Self-Configurable BUS Network Topology Based on LoRa Nodes for the Transmission of Data and Alarm Messages in Power Line-Monitoring Systems.Sensors (Basel, Switzerland) · 2025Article
- A Review of Cutting-Edge Sensor Technologies for Improved Flood Monitoring and Damage Assessment.Sensors (Basel, Switzerland) · 2024Review
- Automatic Monitoring Alarm Method of Dammed Lake Based on Hybrid Segmentation Algorithm.Sensors (Basel, Switzerland) · 2023Article
- An Intelligent Traffic Surveillance System Using Integrated Wireless Sensor Network and Improved Phase Timing Optimization.Sensors (Basel, Switzerland) · 2022Article
- Recent Advances in Internet of Things Solutions for Early Warning Systems: A Review.Sensors (Basel, Switzerland) · 2022Review
- Assessment of the adequacy of mobile applications for disaster reduction.Environment, development and sustainability · 2022Article
- Sky Monitoring System for Flying Object Detection Using 4K Resolution Camera.Sensors (Basel, Switzerland) · 2020Article
- Flash Flood Early Warning System in Colima, Mexico.Sensors (Basel, Switzerland) · 2020Article
- Edge Machine Learning for AI-Enabled IoT Devices: A Review.Sensors (Basel, Switzerland) · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Floods are amongst the most common and devastating of all natural hazards. The alarming number of flood-related deaths and financial losses suffered annually across the world call for improved response to flood risks. Interestingly, the last decade has presented great opportunities with a series of scholarly activities exploring how camera images and wireless sensor data from Internet-of-Things (IoT) networks can improve flood management. This paper presents a systematic review of the literature regarding IoT-based sensors and computer vision applications in flood monitoring and mapping. The paper contributes by highlighting the main computer vision techniques and IoT sensor approaches utilised in the literature for real-time flood monitoring, flood modelling, mapping and early warning systems including the estimation of water level. The paper further contributes by providing recommendations for future research. In particular, the study recommends ways in which computer vision and IoT sensor techniques can be harnessed to better monitor and manage coastal lagoons-an aspect that is under-explored in the literature.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.