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Spatial Prediction of Wildfire Susceptibility Using Field Survey GPS Data and Machine Learning Approaches
2019
Fire
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In the following, the accuracy of each of the twelve resulting maps was assessed through the receiver operating characteristics (ROC) curve. ...
The CV method is used for dealing with the randomness effects of the training and testing dataset selection on the performance of applied ML approaches. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/fire2030043
fatcat:xv6g5ba3fjelrag3y75wbbeqp4
Review of the use of remote sensing for monitoring wildfire risk conditions to support fire risk assessment in protected areas
2019
South African Journal of Geomatics
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Thereafter, an evaluation of the prominent RS platforms such as Broadband, Hyperspectral and Active sensors that have been utilized for wildfire risk assessment. ...
Fire risk assessment is one of the most important components in the management of fire that offers the framework for monitoring fire risk conditions. ...
Based on the evaluation of classification results in terms of cost and technical characteristics, the use of hyperspectral datasets is suitable for use in PAs although they are still unavailable and costly ...
doi:10.4314/sajg.v7i3.2
fatcat:7dn2vi627fcilfdrk5p3s6cauu
Spatial Assessment of Wildfires Susceptibility in Santa Cruz (Bolivia) Using Random Forest
2021
Geosciences
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Wildfires are expected to increase in the near future, mainly because of climate changes and land use management. ...
This study contributes to the development and validation of an innovative mapping tool for fire risk assessment, implementable at a regional scale in different areas of the globe. ...
Acknowledgments: This study is part of the Master's thesis of Marcela Bustillo Sánchez. Authors acknowledge the "Simon I. ...
doi:10.3390/geosciences11050224
doaj:feca479ec35046f8a5167a7582c4e575
fatcat:xl7doge6kvh43p36groqq6vbiy
A Google Earth Engine Approach for Wildfire Susceptibility Prediction Fusion with Remote Sensing Data of Different Spatial Resolutions
2022
Remote Sensing
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We assess the performance of the models using four-fold cross-validation by the receiver operating characteristic (ROC) curve method. ...
In this study, we evaluate the effects of coarse (Landsat 8 and SRTM) and medium (Sentinel-2 and ALOS) spatial resolution data on wildfire susceptibility prediction using random forest (RF) and support ...
Inventory and Conditioning Factors In this study, we identified wildfire locations using the moderate resolution imaging spectroradiometer (MODIS) thermal anomalies product and comprehensive field surveys ...
doi:10.3390/rs14030672
fatcat:bq4sktuc55eirioxm5nja6fhia
Monitoring and Risk Assessment of Wildfires in the Corridors of High-Voltage Transmission Lines
2020
IEEE Access
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Visible Infrared Imaging Radiometer Suite (VIIRS) is the expansion and improvement of NOAA high-resolution radiometer AVHRR and NASA medium-resolution imaging spectrometer MODIS [22] . ...
This paper proposes a complementary monitoring method for wildfires in transmission line corridors based on the high-precision characteristics of Suomi NPP and the high-frequency characteristics of Himawari ...
doi:10.1109/access.2020.3023024
fatcat:q7vnlsslybfcdoo6hbgykshw4a
Modelling spatial patterns of wildfire occurrence in South-Eastern Australia
2016
Geomatics, Natural Hazards & Risk
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The hotspots databases from the Moderate Resolution Imaging Spectroradiometer (MODIS) and logistic regression models are investigated for the comprehensive understanding of environmental and socioeconomic ...
The influence of environmental and socioeconomic conditions on wildfire occurrence and the spatial patterns of wildfires identified in this study can assist fire managers in implementing appropriate management ...
Notes on contributors Yang Zhang is a PhD candidate in the School of Civil and Environmental Engineering at the University of New South Wales, Sydney, Australia. ...
doi:10.1080/19475705.2016.1155501
fatcat:keu3iywnarheddqpxapqwic7ne
A Review of the Applications of Remote Sensing in Fire Ecology
2019
Remote Sensing
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Understanding the dynamics associated with wildfire, such as risks, spatial distribution, and effects is important for developing a clear understanding of its ecological influences. ...
This paper provides a broad review of the applications of remote sensing techniques in fire ecology. ...
Acknowledgments: We would like to thank the anonymous reviewers of this manuscript for their feedback, which helped us to improve the paper in multiple ways. ...
doi:10.3390/rs11222638
fatcat:lblii5fmsjdgxputdsu3hxjgp4
Deep neural networks for global wildfire susceptibility modelling
2021
Ecological Indicators
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., the overall accuracy, recall, precision, F1 score, and kappa coefficient), the receiver operating characteristic (ROC) curve, area under the ROC curve (AUC), and Wilcoxon signed-rank tests (WSRTs), ...
were used to evaluate the prediction performance of the models. ...
The financial support is highly appreciated. The authors would like to thank editorial comments and two anonymous reviewers for their helpful comments on the primary version of the manuscript. ...
doi:10.1016/j.ecolind.2021.107735
fatcat:423wpbdszve63m6sahbodfxl2a
Testing a New Ensemble Model Based on SVM and Random Forest in Forest Fire Susceptibility Assessment and Its Mapping in Serbia's Tara National Park
2019
Forests
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Finally, to explore the performance of the mentioned models we used the values for area under the curve (AUC) of receiver operating characteristics (ROC). ...
The main objectives of this paper are to demonstrate the results of an ensemble learning method based on prediction results of support vector machine and random forest methods using Bayesian average. ...
The funders had no role in the design of the study, in the collection, analyses, or interpretation of data, in the writing of the manuscript, and in the decision to publish the results. ...
doi:10.3390/f10050408
fatcat:vby2vwfvlvfo5lretg22oya7wi
Utilizing the Available Open-Source Remotely Sensed Data in Assessing the Wildfire Ignition and Spread Capacities of Vegetated Surfaces in Romania
2021
Remote Sensing
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We utilized the Receiver Operating Characteristic (ROC) analysis to weigh each indexing criterion's impact factor and assess the model's overall sensitivity. ...
The modeling results enable discussion on the vulnerability of protected areas and the exposure of man-made structures to wildfire risk. ...
Another goal is to test the utility of the Receiver Operating Characteristic/Area Under Curve (ROC/AUC) method in weighting each criterion's impact factor by comparing with the Analytic Hierarchy Process ...
doi:10.3390/rs13142737
fatcat:rkyi4xljtzhvdmjlh5qfcs4cbe
Flame Detection for Video-Based Early Fire Warning for the Protection of Cultural Heritage
[chapter]
2012
Lecture Notes in Computer Science
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The use of terrestrial systems, typically based on video cameras, is currently the most promising solution for advanced automatic wildfire surveillance and monitoring. ...
Cultural heritage and archaeological sites are exposed to the risk of fire and early warning is the only way to avoid losses and damages. ...
The research leading to these results has received funding from the European ...
doi:10.1007/978-3-642-34234-9_38
fatcat:7qvn2ryryzb7fju4gm7omes36m
Satellite-based Fire Progression Mapping: A Comprehensive Assessment for Large Fires in Northern California
2020
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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The standard active fire products from the Moderate Resolution Imaging Spectroradiometer (MODIS), the Visible Infrared Imaging Radiometer Suite (VIIRS), and the combined products were used as inputs. ...
We focused on 42 large wildfires greater than 5000 acres in Northern California from 2017 to 2018, where the USDA Forest Service National Infrared Operations (NIROPS) daily fire perimeters were available ...
Daytime and nighttime data from satellites with higher spatial resolution such as Landsat-8 Operational Land Imager (OLI) can be integrated to enhance fidelity of fire mapping, and/or used for validation ...
doi:10.1109/jstars.2020.3019261
fatcat:33vnjkyxkrg3jptmzhupepe5g4
A VARI-based relative greenness from MODIS data for computing the Fire Potential Index
2008
Remote Sensing of Environment
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Here we evaluated an alternate measure of RG using the Visible Atmospheric Resistant Index (VARI) derived from Moderate Resolution Imaging Spectrometer (MODIS) data. ...
Based on these results, daily FPI maps were computed for the years 2001 through 2005 using both NDVI-RG and VARI-RG. ...
The first author would like to thank UCSB's VIPER Lab for providing the MODIS composites as well as advice and support. ...
doi:10.1016/j.rse.2007.07.010
fatcat:g4lh5wyolbeidjz4dcoyq7rbnq
Study of Driving Factors Using Machine Learning to Determine the Effect of Topography, Climate, and Fuel on Wildfire in Pakistan
2022
Remote Sensing
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Using descriptive analyses, we investigated the spatiotemporal trends and causes of wildfire in the 2001–2020 period. ...
The goal of this study was to understand fire trends which might help to improve wildland management and reduction in wildfire risk in Pakistan. ...
MODIS) and the Visible Infrared Imaging Radiometer Suite (VIIRS) to Terra and Aqua EOS [64] . ...
doi:10.3390/rs14081918
fatcat:7bqeqxa2jbhgvdqqsdab33yxwi
Integrating Wildfires Propagation Prediction into Early Warning of Electrical Transmission Line Outages
2019
IEEE Access
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Second, we have proposed a line outage model (LOM), based on wildfire prediction and breakdown mechanisms of the air gap, to predict the breakdown probability varying with time and the most vulnerable ...
It is developed in the context of electrical transmission line operating with various situations of topography, vegetation, wind and, especially, multiple ignition points. ...
ACKNOWLEDGMENT The authors would like to thank Garik Gutman at NASA and Louis Giglio in the University of Maryland for constructive discussion. ...
doi:10.1109/access.2019.2894141
fatcat:sgxnjv33orebfg3ciczfsnl7xy
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