Presentation at the Public Safety Communication Europe meeting at Brussels, 29th My 2013 in the Crisis Modelling Panel.
Dr Joaquin Ramirez, owner of Tecnosylva and Coordiantor of the MsC in Wildfires for the University of León, Spain
"The NGO World" team visited flood affected areas of district Multan and Jhang to assess the losses, damages and destruction. During the visit and talking with flood victims we observed crops destruction, damages of homes, livelihood resources, health issues, food and WASH problems.(22-23 August 2013).
"The NGO World" team visited flood affected areas of district Multan and Jhang to assess the losses, damages and destruction. During the visit and talking with flood victims we observed crops destruction, damages of homes, livelihood resources, health issues, food and WASH problems.(22-23 August 2013).
PAKISTAN FLOODS---- 14 million homeless and in need of your aid. Water is more expensive than blood; people are forced to drink water that has the remains of dead animals and humans, infant death is on the rise and women are stranded on rooftops, praying that they are able to catch the little food and water that helicopters may drop on them!
The application of GIS for Wildfire Suppression discussed in this presentation.Academic material of the course content of geo-spatial science studies- Faculty of Geomatics , Sabaragamuwa University of Sri Lanka
Spreading the passion in:
• Corporate Branding
• Product Branding
• Corporate Identity
• Packaging Design
• Creative Collaboration
• Non-traditional Media
We believe that good ideas are a measure of how people want to bring them up in conversations and how it excites them rather than how creative deem them so - in short we believe good ideas spread quickly on their own.
We believe design is an effort in enriching lives and developing culture. It is not merely an extension of marketing but is the voice of a society - which is why we strive to cultivate design that is founded on Vietnamese traditions or the essence of the brand.
IIT-Guwahati Talk: Artificial Intelligence & Machine Learning in Public Safet...Abhilash Shukla
In this document, we will refer to a generalized and broader use case of AIML and IoT into Disaster Response scenarios. Watch this live session on Youtube: https://www.youtube.com/watch?v=pgZDsGBzJuE&t=1414s
This guest talk at the IIT-Guwahati zoom-live session on the launch of the 2022 Batch of AIML certification, addressed the questions like; How AIML is helping this world to be a safer planet for a living? How humans have become intelligent over years by using Artificial Intelligence and Machine Learning to handle Disasters? How the wildfire in technologically advanced countries is getting handled or maturing to get ready to handle? How big is this disaster problem? How drones are helping to fight disasters?
Connect with me at: http://abhilashshukla.com/
For download. kindly Mention/DM me on LinkedIn or Twitter: https://www.linkedin.com/in/abhilashshuklaa/
https://twitter.com/AbhilashShuklaa
IJRET-V1I1P1 - Forest Fire Detection Based on Wireless Image Processing ISAR Publications
Fire is a terrifying weapon, with nearly unlimited destructive power. Fire accidents are a major
cause of human suffering and material loss and the one that perhaps are predicted the least
accurately. A series of computer vision-based fire detection algorithms is proposed in this paper.
These algorithms can be used in parallel with conventional fire detection systems to reduce false
alarms. The motivation behind this research is to obtain beneficial information from images in the
forest spatial data and use the same in the determination of regions at the risk of fires by utilizing
Image Processing and Artificial Intelligence techniques. The proposed intelligent system will thus
aid in alerting the fire stations with the help of a Global System for Mobile Communications in
event of any fire to take immediate actions before fire spreads quickly and causes traumatizing
loss.
Disasters Happen. We need to manage them to minimize the loss to life and property. Disaster management has been received much attention, but has not been touched much by the latest technology. This paper presents an approach to manage disasters using latest and popular technology. We are interested in building a community of researchers who are interested in developing such tools.
Disaster Monitoring using Unmanned Aerial Vehicles and Deep LearningAndreas Kamilaris
Monitoring and identification of disasters are crucial for mitigating their effects on the
environment and on human population, and can be facilitated by the use of unmanned aerial vehicles
(UAV), equipped with camera sensors which can produce frequent aerial photos of the areas of interest. A
modern, promising technique for recognition of events based on aerial photos is deep learning. In this paper,
we present the state of the art work related to the use of deep learning techniques for disaster monitoring
and identification. Moreover, we demonstrate the potential of this technique in identifying disasters
automatically, with high accuracy, by means of a relatively simple deep learning model. Based on a small
dataset of 544 images (containing images of disasters such as fires, earthquakes, collapsed buildings,
tsunami and flooding, as well as “non-disaster” scenes), our preliminary results show an accuracy of 91%
achieved, indicating that deep learning, combined with UAV equipped with camera sensors, have the
potential to predict disasters with high accuracy in the near future. Presented at the EnviroInfo 2017 Conference in Luxembourg.
Using Data Integration to Deliver Intelligence to Anyone, AnywhereSafe Software
Data integration makes it possible to deliver intelligence and keep decision makers, first responders, and civilians informed. For over 20 years, FME has been trusted by federal governments to move data from nearly any source to the target destination, while saving time and budget resources.
With FME, federal governments can deliver open data, improve emergency & disaster response, enhance land management, turn public safety and defense into actionable results, and integrate & deliver location intelligence.
Isam Shahrour conference at Shandong Agricultural University: Smart City for ...Isam Shahrour
This conference presented the world environmental challenges in particular the greenhouse emission, the global warming, the climate change and the air pollution, then the Smart City concept and how this concept could help in facing the environmental challenges.
5th International Disaster and Risk Conference IDRC 2014 Integrative Risk Management - The role of science, technology & practice 24-28 August 2014 in Davos, Switzerland
FORTE-Seismic risk assessment of industrial plants a case study-ID1277-IDRC20...Global Risk Forum GRFDavos
5th International Disaster and Risk Conference IDRC 2014 Integrative Risk Management - The role of science, technology & practice 24-28 August 2014 in Davos, Switzerland
PAKISTAN FLOODS---- 14 million homeless and in need of your aid. Water is more expensive than blood; people are forced to drink water that has the remains of dead animals and humans, infant death is on the rise and women are stranded on rooftops, praying that they are able to catch the little food and water that helicopters may drop on them!
The application of GIS for Wildfire Suppression discussed in this presentation.Academic material of the course content of geo-spatial science studies- Faculty of Geomatics , Sabaragamuwa University of Sri Lanka
Spreading the passion in:
• Corporate Branding
• Product Branding
• Corporate Identity
• Packaging Design
• Creative Collaboration
• Non-traditional Media
We believe that good ideas are a measure of how people want to bring them up in conversations and how it excites them rather than how creative deem them so - in short we believe good ideas spread quickly on their own.
We believe design is an effort in enriching lives and developing culture. It is not merely an extension of marketing but is the voice of a society - which is why we strive to cultivate design that is founded on Vietnamese traditions or the essence of the brand.
IIT-Guwahati Talk: Artificial Intelligence & Machine Learning in Public Safet...Abhilash Shukla
In this document, we will refer to a generalized and broader use case of AIML and IoT into Disaster Response scenarios. Watch this live session on Youtube: https://www.youtube.com/watch?v=pgZDsGBzJuE&t=1414s
This guest talk at the IIT-Guwahati zoom-live session on the launch of the 2022 Batch of AIML certification, addressed the questions like; How AIML is helping this world to be a safer planet for a living? How humans have become intelligent over years by using Artificial Intelligence and Machine Learning to handle Disasters? How the wildfire in technologically advanced countries is getting handled or maturing to get ready to handle? How big is this disaster problem? How drones are helping to fight disasters?
Connect with me at: http://abhilashshukla.com/
For download. kindly Mention/DM me on LinkedIn or Twitter: https://www.linkedin.com/in/abhilashshuklaa/
https://twitter.com/AbhilashShuklaa
IJRET-V1I1P1 - Forest Fire Detection Based on Wireless Image Processing ISAR Publications
Fire is a terrifying weapon, with nearly unlimited destructive power. Fire accidents are a major
cause of human suffering and material loss and the one that perhaps are predicted the least
accurately. A series of computer vision-based fire detection algorithms is proposed in this paper.
These algorithms can be used in parallel with conventional fire detection systems to reduce false
alarms. The motivation behind this research is to obtain beneficial information from images in the
forest spatial data and use the same in the determination of regions at the risk of fires by utilizing
Image Processing and Artificial Intelligence techniques. The proposed intelligent system will thus
aid in alerting the fire stations with the help of a Global System for Mobile Communications in
event of any fire to take immediate actions before fire spreads quickly and causes traumatizing
loss.
Disasters Happen. We need to manage them to minimize the loss to life and property. Disaster management has been received much attention, but has not been touched much by the latest technology. This paper presents an approach to manage disasters using latest and popular technology. We are interested in building a community of researchers who are interested in developing such tools.
Disaster Monitoring using Unmanned Aerial Vehicles and Deep LearningAndreas Kamilaris
Monitoring and identification of disasters are crucial for mitigating their effects on the
environment and on human population, and can be facilitated by the use of unmanned aerial vehicles
(UAV), equipped with camera sensors which can produce frequent aerial photos of the areas of interest. A
modern, promising technique for recognition of events based on aerial photos is deep learning. In this paper,
we present the state of the art work related to the use of deep learning techniques for disaster monitoring
and identification. Moreover, we demonstrate the potential of this technique in identifying disasters
automatically, with high accuracy, by means of a relatively simple deep learning model. Based on a small
dataset of 544 images (containing images of disasters such as fires, earthquakes, collapsed buildings,
tsunami and flooding, as well as “non-disaster” scenes), our preliminary results show an accuracy of 91%
achieved, indicating that deep learning, combined with UAV equipped with camera sensors, have the
potential to predict disasters with high accuracy in the near future. Presented at the EnviroInfo 2017 Conference in Luxembourg.
Using Data Integration to Deliver Intelligence to Anyone, AnywhereSafe Software
Data integration makes it possible to deliver intelligence and keep decision makers, first responders, and civilians informed. For over 20 years, FME has been trusted by federal governments to move data from nearly any source to the target destination, while saving time and budget resources.
With FME, federal governments can deliver open data, improve emergency & disaster response, enhance land management, turn public safety and defense into actionable results, and integrate & deliver location intelligence.
Isam Shahrour conference at Shandong Agricultural University: Smart City for ...Isam Shahrour
This conference presented the world environmental challenges in particular the greenhouse emission, the global warming, the climate change and the air pollution, then the Smart City concept and how this concept could help in facing the environmental challenges.
5th International Disaster and Risk Conference IDRC 2014 Integrative Risk Management - The role of science, technology & practice 24-28 August 2014 in Davos, Switzerland
FORTE-Seismic risk assessment of industrial plants a case study-ID1277-IDRC20...Global Risk Forum GRFDavos
5th International Disaster and Risk Conference IDRC 2014 Integrative Risk Management - The role of science, technology & practice 24-28 August 2014 in Davos, Switzerland
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Twitter and Google Maps are being used in mainstream emergency management, and projects like InSTEDD will push them even farther. This session shows you what is working, what isn't, and what's next in Disaster Tech.
How the smart city solution could help in urban systems resilience?Isam Shahrour
This conference discusses the urban hazards including natural hazards and how we can combine the resilience approach as well as the smart city solution to cope with the urban hazards challenges
Web 4.0’s scale and social impact surpass by several orders of magnitude the inception of its 1.0 ancestor 25 years ago. Web 4.0 will change how humans operate and the way civilization functions.
A few specific nanotechnologies, developed at a faster-than-anticipated pace, mostly outside the conventional silicon-based industry circuits, are quickly colliding into the foundations for web 4.0.
The Big Picture on Nano details this ‘Coming-of-Ages’, provides a preliminary springboard to grasp context, challenges and opportunities that will accompany this web 4.0 wave of changes, and explains why massive social, economic and geopolitical displacements can be expected.
Similar to Wildfire Modelling in the age of megafires (20)
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Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
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We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
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2. Crisis Modelling
Public Safety CommunicationsEurope 2013
Brussels, 29/May/2013
Dr. Joaquín Ramírez
Universidad de León&TECNOSYLVA
jramirez@tecnosylva.com
Wildfire
Modelling
in the age of
megafires
3. Why does it matters?
What is wildfire simulation?
Who needs it?
When is fire modeling useful?
Where can it be of any help?
How WM canhelp fire services
nowdays?
Outline
4. Jacques Descloitres, MODIS Rapid Response System at NASA/GSFC http://youtu.be/eET7jwJOOqA
Why does it matters?
8. a
Fire scenarios from 2010 to 2070 (ATSR Fire Atlas based)
Krawchuk MA, Moritz MA, Parisien M-A, Van Dorn J, Hayhoe K, 2009. Global Pyrogeography:
the Current and Future Distribution of Wildfire. PLoS
ONE 4(4): e5102. doi:10.1371/journal.pone.0005102
Climate projections include 2010–2039 (A,), 2040–2069 (B) and 2070–2099 (C).
20. a young science
Harry T. Gisborne
First truespecialist in forest
fireresearchintheUS
Jack S. Barrow
Director ofthe
MissoulaFire Lab
TheMannGulch Fire (1949)
21. The science and art of FireSim
Where is it going to be in the next hours?
Whencan we expect to stop it?
Whatis the risk to this community?
Allthesequestionshaveanspatio-temporalanswer
22. Richard C Rothermel
“The beauty of
Rothermel’s model … is that
it’s simple— it can be run
quickly with a low-capability
Computer” B. Butler
the first operationalmodels
23. Models are out there
Models completed in period 1990-2007
12 Physical
7 quasi-physical
15 empirical
5 quasi-empirical
11 simulation
22 mathematical analogous
Andrew L. Sullivan
Wildland surface fire spread modelling, 1990–2007
International Journal of Wildland Fire
Volume 18 Number 4 2009
.
31. What is
Wildfire Analyst?
Objetives: provide simulation capabilities in operations
scenarios, and the foundations for a fire behavior database
Developed under the European Preview, Programme VI (R&D)
framework, for the development of operational emergency tools
(www.preview-risk.com)
Integrating Rothermel´s (inc. Windninja & Farsite dll) , Kitral
al McArthur models Bombers GRAF (Gen. Catalunya)
71. Low use in EuropeanFF services (EUFIRELAB, 2005)1
Prevention and mainly USA big fires
Input data hard to process and not appropiate
scales
Results oriented more to laboratory than to
real fire fighting
HIGH NEED BUT LOW TRUST
72. Prevention
• Fuel
management
• Analyze
firebreaks
efficiency
• Resources
location
optimization
Operations
• Every Alarm
Evaluation
• Multiple
incidents
• IAP support
• Integration in
DSS
Post fire
• Fire Scenarios
• Impact
assesment
• What if?
• Historical
analysis
• New local
models
New Uses of WM
90. On scene inmediate analysison megafires
www.firesponse.com/wildfirengine
91. Wildfire Simulation is helping to better
understand the biggest natural risk world
wide
Actual systems are ready to help more
prepared users
To know more:
Martin E. Alexander. Some Random Thoughts on Fire Behavior Research and Operational Fire Behavior Considerations. Keynote
Address 2: Fire Paradox 4th Plenary Meeting, 9-13 June 2008, Chania, Crete, Greece
http://wildfirelessons.net/documents/M_E_Alexander_Keynote_Address_4th_Plenary_Meeting.pdf
94. Crisis Modelling
Public Safety CommunicationsEurope 2013
Brussels, 29/May/2013
Dr. Joaquín Ramírez
Universidad de León&TECNOSYLVA
jramirez@tecnosylva.com
Wildfire
Modelling
in the age of
megafires
Thank
You