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Wildfire Smoke Detection Using Computational Intelligence Techniques Enhanced With Synthetic Smoke Plume Generation
2013
IEEE Transactions on Systems, Man & Cybernetics. Systems
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In this paper, we propose a low cost approach based on image processing and computational intelligence techniques, capable to adapt and identify wildfire smoke from heterogeneous sequences taken from a ...
Since the collection of frame sequences can be difficult and expensive, we propose a virtual environment, based on a cellular model, for the computation of synthetic wildfire smoke sequences. ...
The used features are similar to the ones described in [3] . Then, computational intelligence techniques are used to classify every frame as "smoke" or "non-smoke". ...
doi:10.1109/tsmca.2012.2224335
fatcat:jb6rnyqirbbddk3l5xavcqcn5m
An Improved Wildfire Smoke Detection Based on YOLOv8 and UAV Images
2023
Sensors
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Nevertheless, succeeding techniques for detecting forest fire smoke encounter persistent issues, including a slow identification rate, suboptimal accuracy in detection, and challenges in distinguishing ...
Identifying the smoke generated by forest fires is pivotal in facilitating the prompt suppression of developing fires. ...
With the rapid progress of deep learning techniques, researchers are increasingly using them for detecting forest fire smoke. ...
doi:10.3390/s23208374
pmid:37896467
pmcid:PMC10610991
fatcat:zaxpgwzyxzcdhbxitcqzoncwxm
Table of contents
2013
IEEE Transactions on Systems, Man & Cybernetics. Systems
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Zha 996 Wildfire Smoke Detection Using Computational Intelligence Techniques Enhanced With Synthetic Smoke Plume Generation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...
Zhou 941 A Multiphase Decision Model for System Reliability Growth With Latent Failures . . . . . T. Jin, Y. Yu, and H.-Z. ...
doi:10.1109/tsmc.2013.2256692
fatcat:zoyt7tedufajrey6mxwbib6pou
In situ measurements of trace gases, PM, and aerosol optical properties during the 2017 NW US wildfire smoke event
2019
Atmospheric Chemistry and Physics
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</strong> In mid-August through mid-September of 2017 a major wildfire smoke and haze episode strongly impacted most of the NW US and SW Canada. ...
lifetime in an isolated plume. ...
We thank John Walker for providing us with Mie scattering calculations. ...
doi:10.5194/acp-19-3905-2019
fatcat:ypqkv5ta5rgnhpubif6c35thoe
SWC 2021 Solar Farm disaster Management_V6.pdf
[article]
2022
figshare.com
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As per the latest report - Renewable Capacity Statistics 2021 released by International Renewable Energy Agency (IRENA), a whopping 80 percent of new electricity generating capacity plugged into the grid ...
Acknowledgments I acknowledge the support from SNETEL Technologies company Limited for their generous financial support. ...
Satellites typically detect active wildfires by identifying pixels that contain actively burning fires by detecting thermal infrared radiation emitted, while optical sensors can detect some wildfires by ...
doi:10.6084/m9.figshare.19285373.v1
fatcat:zoz354wanrbvjad3b6bhzgvsp4
Change Detection Techniques with Synthetic Aperture Radar Images: Experiments with Random Forests and Sentinel-1 Observations
2022
Remote Sensing
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Specifically, we used CDIs that synthetically describe ground surface changes associated with a disaster event (i.e., the pre-, cross-, and post-disaster phases), based on the generation of sigma nought ...
This work aims to clarify the potential of incoherent and coherent change detection (CD) approaches for detecting and monitoring ground surface changes using sequences of synthetic aperture radar (SAR) ...
event (i.e., wildfires or floods) occurs, using sequences of synthetic aperture radar (SAR) images. ...
doi:10.3390/rs14143323
fatcat:ihngruabkrdmrfo5vwnztcpioy
Meeting Abstracts of World Conference on Climate Change & Sustainability
2022
Carbon Footprints
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46 AI-based detection of wildfire smoke plumes from Isimar A. ...
Various studies are being conducted to cope with air pollution and global warming caused by these wildfires. This study suggests the effective smoke detection technique by using satellite data GEMS. ...
Understanding remote sensing Technique including radar systems is important in response to climate change, flood, drought that we have been facing with. ...
doi:10.20517/cf.2022.19
fatcat:kycz2wpzlvgzdijcek43r2oiga
Direct numerical simulation of a thermal turbulent boundary layer: an analogy to simulate bushfires and a testbed for artificial intelligence remote sensing of bushfire propagation
[article]
2024
arXiv
pre-print
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Direct numerical simulation of a turbulent thermal boundary layer (TTBL) can perform the role of an analogy to simulate bushfires that can serve as a testbed for artificial intelligence (AI) enhanced remote ...
In addition to potentially providing insights into the complex bushfire behaviour, direct numerical simulation (DNS) can generate synthetic remote sensing data to train AI algorithms such as convolutional ...
Acknowledgements This research was supported by a NCI Australasian Leadership Computing Grant and a Monash Data Futures Institute Seed Grant. ...
arXiv:2402.08157v1
fatcat:mr5ljt4wfvg4ncvgqnknqbykoe
A Review of Forest Fire Combating Efforts, Challenges and Future Directions in Peninsular Malaysia, Sabah, and Sarawak
2022
Forests
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Thus, it is strongly believed that the findings and analysis shown in this paper will be useful as a baseline to propagate research in this domain. ...
With the proliferation of publicly accessible satellite data in recent years, a new direction of utilising big data platforms has been postulated. ...
We sincerely appreciate all valuable comments and suggestions, which helped us to improve the quality of the manuscript.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/f13091405
fatcat:ksggbgzvpzg5lgxsn4yh5zliwe
Spatial distribution analysis of the OMI aerosol layer height: a pixel-by-pixel comparison to CALIOP observations
2017
Atmospheric Measurement Techniques Discussions
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These encouraging findings strongly suggest the potential of the OMI ALH product, and in more general the use of the 477&thinsp;nm O<sub>2</sub>−O<sub>2</sub> band from present and future similar satellite ...
Such retrievals benefit from a synergy with MODIS data to provide complementary information on aerosols and cloudy pixels. We used a neural network approach previously trained and developed. ...
to better detect and exploit the upcoming signal from smoke layers. ...
doi:10.5194/amt-2017-386
fatcat:ra4ngkq2hbbjzmvz2k6d77gdwy
Spatial distribution analysis of the OMI aerosol layer height: a pixel-by-pixel comparison to CALIOP observations
2018
Atmospheric Measurement Techniques
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These encouraging findings strongly suggest the potential of the OMI ALH product, and in more general the use of the 477<span class="thinspace"></span>nm O<sub>2</sub> − O<sub>2</sub> band from present ...
Such retrievals benefit from a synergy with MODIS data to provide complementary information on aerosols and cloudy pixels. We used a neural network approach previously trained and developed. ...
to better detect and exploit the upcoming signal from smoke layers. ...
doi:10.5194/amt-11-2257-2018
fatcat:33juvsx6dnhhlkusnkx53kh4de
Radiative Transfer Modelling for the characterisation of natural burnt surfaces
2022
figshare.com
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There is a long history of using Earth Observation (EO) data in monitoring wildfires that has led to the development of operational products measuring fire occurrence. ...
An additional consideration is that high temporal resolution observations help in monitoring several types of wildfire. But this tends to imply the use of moderate spatial resolution data. ...
Acknowledgements We are extremely grateful to ESA for funding this study and to Dulce Lajas of ESA ESTEC for running and steering the study: it has, we believe, been a very worthwhile collaboration with ...
doi:10.6084/m9.figshare.19657785.v1
fatcat:sghgq4exljbt7nlza37ghg34su
Air Pollution Forecasts: An Overview
2018
International Journal of Environmental Research and Public Health
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Extensive research indicates that the methods of air pollution forecasting can be broadly divided into three classical categories: statistical forecasting methods, artificial intelligence methods, and ...
Forecasting results were used to obtain population information that was expected to be affected by wildfire smoke, by combining with web service. ...
Forecasting results were used to obtain population information that was expected to be affected by wildfire smoke, by combining with web service. ...
doi:10.3390/ijerph15040780
pmid:29673227
pmcid:PMC5923822
fatcat:dtzvahbotngubjc3vimeidpytu
Forest Fire Smoke Detection Based on Deep Learning Approaches and Unmanned Aerial Vehicle Images
2023
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The testing findings on our forest fire smoke dataset revealed that the proposed approach successfully detected forest fire smoke with an AP50 of 86.4%, 3.9% higher than previous single- and multiple-stage ...
As a result, we proposed a refined version of the YOLOv7 model for detecting smoke from forest fires. To begin, we compiled a collection of 6500 UAV pictures of smoke from forest fires. ...
Acknowledgments: Thanks to our families and colleagues who supported us morally.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/s23125702
pmid:37420867
pmcid:PMC10304711
fatcat:gg42fhcck5cqni6ukcfot4b4zu
SAFEGREECE CONFERENCE PROCEEDINGS
[article]
2022
Zenodo
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We then investigate the impact of the new map on the seismic hazard and risk of Thessaloniki, a city which is very well-documented with respect to building stock and soil conditions. ...
This paper shortly presents the latest developments on the seismic hazard and risk assessment of the city of Thessaloniki, Greece, using the two most recent European Seismic Hazard and Risk Models (ESHM20 ...
This work is dedicated to our unforgettable Professor Ioannis Tegos, who with his valuable morals and profound scientific knowledge made us better people. ...
doi:10.5281/zenodo.10026492
fatcat:67q7t2thpzg7zedr7xckbcq7mm
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