SWeFS: sensor Web Fire Shield for forest fire detection and monitoring

Bismpikis, George; Papataxiarhis, Vassilis; Hadjiefthymiades, Stathes; Μανωλάκος, Ηλίας Σ.; Bogdos, Nikos

doi:10.14195/978-989-26-0884-6_169

Cited by 2 publications

(3 citation statements)

References 8 publications

(8 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Regarding storm detection systems, Aljohani and Alenazi [77] suggested using weather sensorsincluding humidity and lightningsensors. For forest fires detection, Viegas [78] used sensors to collect data such as temperature, humidity, gas concentrations, rain rate, wind direction, and wind speed. They also use cameras, including Pan-Tilt-Zoom and Fixed Cameras, and Unmanned Air Vehicles equipped with cameras.…”

Section: Othersmentioning

confidence: 99%

“…Some of them are mobile applications such as Ferraz et al [61]. In addition, we usually visualize data with maps to present environmental data and disaster positions in web applications [40,42,45,48,58,63,72,78,81,83,84,88]. Interestingly, Kanak et al [81] integrated data from the sensors to create a virtual reality environment to help residents perform fire and earthquake escape drills.…”

Section: Analysis and Applications Of Sensor Datamentioning

confidence: 99%

See 1 more Smart Citation

Sensors on the Internet of Things Systems for Urban Disaster Management: A Systematic Literature Review

Zeng,

Pang,

Tang

2023

Sensors

View full text Add to dashboard Cite

The occurrence of disasters has the potential to impede the progress of sustainable urban development. For instance, it has the potential to result in significant human casualties and substantial economic repercussions. Sustainable cities, as outlined in the United Nations Sustainable Development Goal 12, prioritize the objective of disaster risk reduction. According to the Gesi Smarter 2030, the Internet of Things (IoT) assumes a pivotal role in the context of smart cities, particularly in domains including smart grids, smart waste management, and smart transportation. IoT has emerged as a crucial facilitator for the management of disasters, contributing to the development of cities that are both resilient and sustainable. This systematic literature analysis seeks to demonstrate the sensors utilized in IoT for the purpose of urban catastrophe management. The review encompasses both the pre-disaster and post-disaster stages, drawing from a total of 72 articles. During each stage, we presented the characteristics of sensors employed in IoT. Additionally, we engaged in a discourse regarding the various communication technologies and protocols that can be utilized for the purpose of transmitting the data obtained from sensors. Furthermore, we have demonstrated the methodology for analyzing and implementing the data within the application layer of IoT. In conclusion, this study addresses the existing research deficiencies within the literature and presents potential avenues for future exploration in the realm of IoT-enabled urban catastrophe management, drawing upon the findings of the evaluated publications.

show abstract

Section: Othersmentioning

confidence: 99%

Section: Analysis and Applications Of Sensor Datamentioning

confidence: 99%

Sensors on the Internet of Things Systems for Urban Disaster Management: A Systematic Literature Review

Zeng,

Pang,

Tang

2023

Sensors

View full text Add to dashboard Cite

show abstract

“…However, the limited efforts to validate wildfire DDDAS approaches using real-time, noisy measurements from real wildfires have not proved as successful [25]. This is why in [26] we have introduced a flexible data assimilation approach, where we first calibrate the mechanism producing the wildfire simulation model's output before attempting to adjust its input parameters when significant simulation drift is observed.…”

Section: Introductionmentioning

confidence: 99%

Crowd-Sourced Wildfire Spread Prediction With Remote Georeferencing Using Smartphones

Bogdos

Μανωλάκος

2019

IEEE Access

Self Cite

View full text Add to dashboard Cite

Wildfires are natural hazards with severe consequences worryingly worsening for many climate-change affected regions of our planet. Unfortunately, technologies that can provide real-time fireline information, such as satellites, in-field sensors, and social media texts, exhibit low spatial/temporal resolution or cannot be deployed cost-effectively in widespread geographical areas. We present the design, development, and implementation of a novel software service, called CITISENS, which by exploiting commodity smartphone sensors allows ordinary citizens to easily georeference a fire-line in real-time and report its coordinates as they are photographing a wildfire. The location/orientation sensors and the camera are used to compute the view-ray of the smartphone, and a digital elevation model is employed to estimate the ray's intersection with the topography. We have tested the georeferencing accuracy obtained and it is to be on par with, or even better, than that of existing satellite wildfire hotspot services. When combined with FLogA, a flexible wildfire spread simulator we have also developed, CITISENS offers the following unique advantages: real-time prediction of burn probabilities, dynamic assimilation of citizen-reported hotspots into ongoing simulations for improved predictive accuracy, and decision support to issue citizen alarms based on the estimated time-dependent risk at their location due to an approaching wildfire.

show abstract

SWeFS: sensor Web Fire Shield for forest fire detection and monitoring

Cited by 2 publications

References 8 publications

Sensors on the Internet of Things Systems for Urban Disaster Management: A Systematic Literature Review

Sensors on the Internet of Things Systems for Urban Disaster Management: A Systematic Literature Review

Crowd-Sourced Wildfire Spread Prediction With Remote Georeferencing Using Smartphones

Contact Info

Product

Resources

About