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Validation of a Predictive Fire Risk Indication Model using Cloud-based Weather Data Services

S. Stokkenes, R.D. Strand, L.M. Kristensen, T. Log
2021 Procedia Computer Science  
The main contribution of this study is implementation and experimental validation of a predictive fire risk indication model, which exploits cloud-provided measurements from weather stations and weather  ...  The main contribution of this study is implementation and experimental validation of a predictive fire risk indication model, which exploits cloud-provided measurements from weather stations and weather  ...  This study was partly funded by the Research Council of Norway, grant no 298993, Reducing fire disaster risk through dynamic risk assessment and management (DYNAMIC).  ... 
doi:10.1016/j.procs.2021.03.029 fatcat:u5vb5ravpvbtlfaglnt5e5fux4

Data-Driven Wildfire Risk Prediction in Northern California

Ashima Malik, Megha Rajam Rao, Nandini Puppala, Prathusha Koouri, Venkata Anil Kumar Thota, Qiao Liu, Sen Chiao, Jerry Gao
2021 Atmosphere  
The combined model uses the spatial and the temporal parameters as a single combined dataset to train and predict the fire risk, whereas the ensemble model was fed separate parameters that were later stacked  ...  temporal accuracy in predicting the risk of wildfire including fire ignition.  ...  Acknowledgments: We want to thank Department of Applied Data Science, Department of Computer Engineering, and the Center for Applied Atmospheric Research and Education of San Jose State University, California  ... 
doi:10.3390/atmos12010109 fatcat:burg4edzlveqpoodb7g22yczqu

Developing a New Hourly Forest Fire Risk Index Based on Catboost in South Korea

Yoojin Kang, Eunna Jang, Jungho Im, Chungeun Kwon, Sungyong Kim
2020 Applied Sciences  
The purpose of this study is to develop an hourly forest fire risk index (HFRI) with 1 km spatial resolution using accessibility, fuel, time, and weather factors based on Catboost machine learning over  ...  HFRI was calculated through an ensemble model that combined an integrated model using all factors and a meteorological model using weather factors only.  ...  .; validation, Y.K. and E.J.; formal analysis, Y.K. and E.J.; investigation, Y.K. and E.J.; data curation, C.K., and S.K.; writing-original draft preparation, Y.K.; writing-review and editing, E.J., J.I  ... 
doi:10.3390/app10228213 fatcat:ukmpjnrw4rc23it6xa6fuq72ga

Smoke Plume Modeling in Crisis Management [chapter]

Hein Zelle, Edwin Wisse, Ágnes Mika, Tom van Tilburg
2012 Lecture Notes in Geoinformation and Cartography  
The current state of numerical modeling allows detailed, accurate weather forecasting, as well as forecasting of the transport and dispersion of smoke plumes and gas clouds.  ...  BMT ARGOSS and Geodan have developed an integrated system to provide emergency workers with weather and smoke plume forecasts, in a modern crisis management system based on a geographical information system  ...  The crisis management team at the incident location of the fire could not adequately predict where the cloud was moving.  ... 
doi:10.1007/978-3-642-33218-0_5 fatcat:zjccxwkb2za23cuuv5vxv7bsky

Boots on the Ground and Eyes in the Sky: A Perspective on Estimating Fire Danger from Soil Moisture Content

Sonisa Sharma, Kundan Dhakal
2021 Fire  
From this viewpoint, the authors discuss various approaches deployed to evaluate wildfire danger, from in-situ observations to satellite-based fire prediction systems.  ...  Additionally, the increasing availability of remote-sensing data has enabled the monitoring and modeling of wildfires across various terrestrial ecosystems.  ...  Their critical review of the manuscript and suggestions helped with substantial improvements. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/fire4030045 fatcat:od7sq7nuffcuddvsewtboknlti

Estimation of Fire Danger in Hawai'i Using Limited Weather Data and Simulation

David R. Weise, Scott L. Stephens, Francis M. Fujioka, Tadashi J. Moody, John Benoit
2010 Pacific Science  
Influence of spatial resolution of weather information on fire risk was examined by comparing fire risk calculated using one or three weather stations and gridded weather predictions from the Mesoscale  ...  Use of simulation to estimate fire danger (expressed as fire risk) for areas with limited weather data was investigated.  ...  The Gridded scenario represented risk based on weather model predictions, and the Three RAWS scenario represented risk based on observed weather at a few points.  ... 
doi:10.2984/64.2.199 fatcat:4ilvuvannrc73puwz2kuuagree

Combined use of weather forecasting and satellite remote sensing information for fire risk, fire and fire impact monitoring

Wolfgang Knorr, Ioannis Pytharoulis, George P. Petropoulos, et al.
2011 Computational Ecology and Software  
A further analysis using the Fraction of Absorbed Photosyntetically Active Radiation (FAPAR) as an indicator of active vegetation shows the extent of the destruction caused by the fire.  ...  The present work demonstrates that the use of various sources of satellite data in conjunction with weather forecast information is capable of providing valuable information for the characterization of  ...  George Kallos (http://forecast.uoa.gr) for making available the source code of the numerical weather prediction system SKIRON and NCEP for providing the GFS analyses and forecasts and the SSTs.  ... 
doaj:0e54fac08fe74b7c8faa1d60c4dbcb4a fatcat:gl7cr3e6andr5i7nbsrncmfi34

An Alertness-Adjustable Cloud/Fog IoT Solution for Timely Environmental Monitoring Based on Wildfire Risk Forecasting

Athanasios Tsipis, Asterios Papamichail, Ioannis Angelis, George Koufoudakis, Georgios Tsoumanis, Konstantinos Oikonomou
2020 Energies  
Finally, a user-driven web interface is highlighted to accompany the system; it is capable of augmenting the data curation and visualization, and offering real-time wildfire risk forecasting based on Chandler's  ...  Extensive experimentation verified its efficiency and reported on its alertness and highly conforming characteristics considering the use-case scenario of Corfu Island's 2019 fire risk severity.  ...  Contrarily, the FWI is a fire risk model issued by the Canadian Forestry Service in the 1970s [108] .  ... 
doi:10.3390/en13143693 fatcat:zuf6vuiaubbs7ex3ifsi2c64vm

Role of Machine Learning Algorithms in Forest Fire Management: A Literature Review

Arif Muhammad, Alghamdi Khloud K, Sahel Salma A, Alosaimi Samar O, Alsahaft Mashael E, Alharthi Maram A, Arif Maryam
2021 Journal of Robotics and Automation  
Dynamical methods are based on data that changes daily, and they can predict short term fire risk indices.  ...  To predict the probability of forest fire occurrences, different fire prediction indices based on mathematical modeling are proposed between 1960 and 1970 including Fire Weather Index (FWI), Angstrom index  ... 
doi:10.36959/673/372 fatcat:lo2bzahnazbspax2qzgg7smpne

Machine learning model for predicting out-of-hospital cardiac arrests using meteorological and chronological data

Takahiro Nakashima, Soshiro Ogata, Teruo Noguchi, Yoshio Tahara, Daisuke Onozuka, Satoshi Kato, Yoshiki Yamagata, Sunao Kojima, Taku Iwami, Tetsuya Sakamoto, Ken Nagao, Hiroshi Nonogi (+4 others)
2021 Heart  
A ML predictive model using comprehensive daily meteorological and chronological data allows for highly precise estimates of OHCA incidence.  ...  A dataset for 2014-2015 was used to test the predictive model.  ...  Acknowledgements We would like to thank all the emergency medical services (EMS) personnel and staff members of the Fire and Disaster Management Agency (FDMA) and Institute for Fire Safety and Disaster  ... 
doi:10.1136/heartjnl-2020-318726 pmid:34001636 fatcat:6mm7bjhq5rb2pcmjqtgjgqyfg4

Wildfire Risk Assessment Based on Geospatial Open Data: Application on Chios, Greece

Nektaria Adaktylou, Dimitris Stratoulias, Rick Landenberger
2020 ISPRS International Journal of Geo-Information  
It was found that there was a good agreement between the ground reference data and the results of the created fire risk model.  ...  Landsat satellite imagery and publicly available geospatial data were used to create a Geographic Information System and a multi-criteria analysis to develop a methodology for spatially modeling fire risk  ...  Conflicts of Interest: The authors declare no conflict of interest. ISPRS Int. J. Geo-Inf. 2020, 9, 516  ... 
doi:10.3390/ijgi9090516 fatcat:kr5grp7qofa6tomtpytwntw7dq

Computational modeling of extreme wildland fire events: a synthesis of scientific understanding with applications to forecasting, land management, and firefighter safety

Janice L. Coen, W. Schroeder, S. Conway, L. Tarnay
2020 Journal of Computational Science  
The understanding and prediction of large wildland fire events around the world is a growing interdisciplinary research area advanced rapidly by development and use of computational models.  ...  Integrated with weather data and airborne and satellite remote sensing data on wildland fuels and active fire detection, modern coupled weather-fire modeling systems are being used to solve current science  ...  Remaining issues relate to validation of weather prediction models and the use of surface weather station data to do so.  ... 
doi:10.1016/j.jocs.2020.101152 fatcat:2igvflsh5ravbjmujskvfcjque

Satellite-Based Assessment of Grassland Conversion and Related Fire Disturbance in the Kenai Peninsula, Alaska

Katherine Hess, Cheila Cullen, Jeanette Cobian-Iñiguez, Jacob Ramthun, Victor Lenske, Dawn Magness, John Bolten, Adrianna Foster, Joseph Spruce
2019 Remote Sensing  
In response, we conducted a study using Landsat data and modeling techniques to map land cover change in the Kenai Peninsula and to integrate change maps with other geospatial data to predictively map  ...  The maps of land cover change along with digital elevation models (DEMs), temperature, and historical fire data were used to map and assess wildfire danger across the study area.  ...  [23] , used remote sensing data to determine fire risk and fire danger indices for the Kourag forest in northwestern Turkey.  ... 
doi:10.3390/rs11030283 pmid:32021702 pmcid:PMC6999731 fatcat:qqrruoy6dbgdfj3nvrzwoaszuu

Interactions of Physical, Chemical, and Biological Weather Calling for an Integrated Approach to Assessment, Forecasting, and Communication of Air Quality

Thomas Klein, Jaakko Kukkonen, Åslög Dahl, Elissavet Bossioli, Alexander Baklanov, Aasmund Fahre Vik, Paul Agnew, Kostas D. Karatzas, Mikhail Sofiev
2012 Ambio  
Furthermore, integrated effects of physical, chemical, and biological weather suggest a critical review of air quality management practices.  ...  Additional research is required to improve the coupled modeling of physical, chemical, and biological weather as well as the assessment and communication of integrated air quality.  ...  Acknowledgments This publication was supported by COST, in particular the COST Action ES0602 ''Towards a European Network on Chemical Weather Forecasting and Information Systems''.  ... 
doi:10.1007/s13280-012-0288-z pmid:22627871 pmcid:PMC3492561 fatcat:zrajfbzxvfbsbgge7knmcma63q

CONTENTS

2019 Bulletin of The American Meteorological Society - (BAMS)  
a suite of drought and wildfire danger indices.  ...  services in the areas of weather, oceans, and space weather.  ... 
doi:10.1175/bams_1009_1593-1600_toc fatcat:imwpoq7qojdqxdrinhlhcnmlai
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