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2024 UAS Integration for Fire Operation Workshop (KU)
 
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==2021 UAS Integration for Fire Operation Workshop (KU)==
==2024 UAS Integration for Fire Operation Workshop (High-Resolution Data and Digital Twin for Wildland Fires)==
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===Introduction ===
===Introduction ===
The goal of our workshop is to bring together UAS developers and operators, prescribed fire operators, wildfire fighters, and emergency response agency for idea exchange and discussions on how we can integrate new UAS technology to both wildfire fighting and prescribed fire operations.  
The goal of our workshop is to bring together UAS developers and users, prescribed fire or cultural burn operators, wildfire fighters, and emergency response agency for idea exchange and discussions on community needs for fire/wind/smoke data, model, and digital twin. Please email Dr. Haiyang Chao (chaohaiyang AT ku DOT edu) for the meeting Zoomlink if you would like to join the meeting.  


Time: 8:45 AM – 15:30 PM CDT, 2021/11/17(Wednesday)
Time: 12:30 – 3:30 PM CDT, 2024/10/30(Wednesday)


Sponsor: USDA-NIFA National Robotics Initiative Grant, NSF Smart & Connected Community Grant
Sponsor: NSF FirePlan Grant and NSF Smart & Connected Community Grant


Contact: Haiyang Chao, Ph.D. & Associate Professor, Aerospace Engineering Department, University of Kansas
Contact: Haiyang Chao, Ph.D. & Associate Professor, Aerospace Engineering Department, University of Kansas
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===Technical Presentations ===
Introduction & Opening (8:45-9:00 CDT), Haiyang Chao, University of Kansas [http://people.ku.edu/~h512c315/UASfireworkshop2021/0_FireUASWorkshop_Opening.pdf (PDF)]


Plenary talk (9:00-9:30 CDT)
===Workshop Program ===
“Wildfire-induced cascading geohazards and programming at USDA NIFA for hazards mitigation”, Farshid Vahedifard, Mississippi State University and Steven Thomson, USDA NIFA [http://people.ku.edu/~h512c315/UASfireworkshop2021/1_ThomsonVahedifardUASFireIntegrationWorkshop.pdf (PDF)]
Introduction & Opening (12:30 - 12:45 PM CDT)  


Forum 1: Fire Data Standards for Model Validation (12:45 PM - 1:45 PM CDT)


Tech Presentations (9:30-11:00 CDT)
12:45 - 1:00 PM, “Fire and wind metrics measurements during prescribed grass fires using small UAS”, Haiyang Chao (KU) & Ming Xin (Mizzou)
1:00 – 1:15 PM, “Data needs for fire model evaluation”, William Mell (USFS) & Derek McNamara (Geospatial Measurement Solutions, LLC)


a. 9:30 – 9:45, “Fire metrics measurement using sUAS”, Haiyang Chao, University of Kansas [http://people.ku.edu/~h512c315/UASfireworkshop2021/2_Chao_UASFireMetricsMeasurement.pdf (PDF)]
1:15 - 1:45 PM Discussion: data types, fuel/fire/wind/smoke metrics (e.g., rate of spread, flame height, flame length, FRP), and data collection suggestions for various user groups (e.g., prescribed burn association, university prescribed fire operators, fire behavior researchers).  


b. 9:45 – 10:00, “UAS data enabled operational fire spread simulation”, Xiaolin Hu, Georgia State University [http://people.ku.edu/~h512c315/UASfireworkshop2021/3_Hu_NRI_Workshop.pdf (PDF)]


c. 10:00-10:15, “Smoke management for prescribed burning”, Zifei Liu, Kansas State University [http://people.ku.edu/~h512c315/UASfireworkshop2021/4_Liu_Smokeworkshop.pdf (PDF)]
Forum 2: Fire spread model and digital twin (1:45 - 2:30 PM CDT)  


d. 10:15-10:30, “Reasons for conducting a prescribed Burn”, Walter Fick, Kansas State University [http://people.ku.edu/~h512c315/UASfireworkshop2021/5_FickBurnObj.pdf (PDF)]
1:45 - 2:00 PM, “Fire spread model and data assimilation”, Xiaolin Hu (Georgia State U.)


e. 10:30-10:45, “Prescribed fire setting using multi-rotor UAS”, Carrick Detweiler, University of Nebraska, Lincoln and Drone Amplified [http://people.ku.edu/~h512c315/UASfireworkshop2021/6_DroneAmplified-KU-Fire-20211116.pdf (PDF)]
2:00-2:30 PM, Discussion: digital twin requirement from different user groups, gaps in existing fire spread models.


f. 10:45-11:00, “sUAS data sharing guidelines”, Lindsay Barbieri, Earth Science Information Partners (ESIP) [http://people.ku.edu/~h512c315/UASfireworkshop2021/7_BarberiESIPsUASDataSharingGuidelines.pdf (PDF)]


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===Discussions ===
'''UAS for Wildfire Operation Discussion''' (11:00-12:30 CDT) –  Moderator: Haiyang Chao and Sheena Parsons
Objective: UAS safety and wildfire integration challenges/needs
Survey Question 1 (results in ''italic''): What are the most critical challenges for integration of small UAS into wildfire surveillance?
1. ''UAS and crew safety;''
2. UAS capability to handle wind and turbulence;
3. ''Available information UAS can deliver,''
4. UAS endurance, weight and size,
5. ''Dynamically changing fire environments; ''
6. FAA regulation;
7. Other
Survey Question 2: What is the biggest safety concern for you to use UAS in your fire operations?
''1. Strong wind and turbulence'';
2. UAS flight over people on the ground;
''3. Avoidance of terrain or other aircraft''
Survey Question 3: What is the most needed wildfire information that UAS can provide during wildfire fighting?
''1. Fire front location and rate of spread;''
2. Fire temperature;
3. Hot spot location and temperature;
4. Flame height
Discussion Question 1:
What type of UAS is most needed for wildfire fighting now? Size and weight limit? Sensing capability? Actuation capability (fire ball dropping)? Autonomous capability (fireline following?). Endurance and scale?
Discussion Question 2:
Human UAS interface. How can we speed up the communication between UAS and human operator during the fire fighting?
Discussion Question 3:
What are the needs from the wildfire fighters and government agency for UAS integration?
Discussion Question 4:
How can we build a wildfire resilient community? How can different communities help each other? University, fire fighter, government agency.
'''Prescribed Fire Community Discussions''' (13:30-15:00 CDT) – Moderator: Walter Fick and Xiaolin Hu
Objective: how to integrate UAS and fire behavior simulation to achieve smarter and safer prescribed burning?
Survey Question 1.Do you feel micro UAS (< 5 lbs) will be useful in prescribed fire real-time monitoring?
''Yes.'' No.
Discussion Question 1: What are the best practices at the community level for supporting landowners’ prescribed burning? What changes that you would like to see to improve over the current practice?
Discussion Question 2: What challenges do you anticipate for landowners/practitioners to adopt the proposed technologies (or in general any new technologies)?
Discussion Question 3: What activities can be done to improve the community (the prescribed burning community, or the broader community) as a whole?
Discussion Question 4: How can we use UAS for post fire evaluation (temporal and spatially variant environment)? Examples include Fungi, burn severity, post-burn ecology recovery.


Forum 3: Community data and modeling needs (2:30-3:15 PM CDT)


'''Open Discussions''' (15:00-15:30 CDT) - Saket Gowravaram [http://people.ku.edu/~h512c315/UASfireworkshop2021/SaketUASFireWorkshop_Data_final.pdf (PDF)]
2:30 - 2:45 PM “Cultural burn and prescribed fires”, Melinda Adams (KU) and Sheena Parsons (Kansas Biological Survey)


a. UAS and payload demonstration
2:45-3:15 PM Discussion: shared and diverse community needs for fire data, model, and digital twin (e.g., prescribed fire vs. cultural burns vs. wildfires).  


b. Fire data collection and data sharing
Conclusion and Summary (3:15-3:30 PM CDT)

Latest revision as of 14:02, 2 October 2024

Welcome to Cooperative Unmanned Systems Laboratory (CUSL)

2024 UAS Integration for Fire Operation Workshop (High-Resolution Data and Digital Twin for Wildland Fires)

Introduction

The goal of our workshop is to bring together UAS developers and users, prescribed fire or cultural burn operators, wildfire fighters, and emergency response agency for idea exchange and discussions on community needs for fire/wind/smoke data, model, and digital twin. Please email Dr. Haiyang Chao (chaohaiyang AT ku DOT edu) for the meeting Zoomlink if you would like to join the meeting.

Time: 12:30 – 3:30 PM CDT, 2024/10/30(Wednesday)

Sponsor: NSF FirePlan Grant and NSF Smart & Connected Community Grant

Contact: Haiyang Chao, Ph.D. & Associate Professor, Aerospace Engineering Department, University of Kansas

Workshop Program

Introduction & Opening (12:30 - 12:45 PM CDT)

Forum 1: Fire Data Standards for Model Validation (12:45 PM - 1:45 PM CDT)

12:45 - 1:00 PM, “Fire and wind metrics measurements during prescribed grass fires using small UAS”, Haiyang Chao (KU) & Ming Xin (Mizzou)

1:00 – 1:15 PM, “Data needs for fire model evaluation”, William Mell (USFS) & Derek McNamara (Geospatial Measurement Solutions, LLC)

1:15 - 1:45 PM Discussion: data types, fuel/fire/wind/smoke metrics (e.g., rate of spread, flame height, flame length, FRP), and data collection suggestions for various user groups (e.g., prescribed burn association, university prescribed fire operators, fire behavior researchers).


Forum 2: Fire spread model and digital twin (1:45 - 2:30 PM CDT)

1:45 - 2:00 PM, “Fire spread model and data assimilation”, Xiaolin Hu (Georgia State U.)

2:00-2:30 PM, Discussion: digital twin requirement from different user groups, gaps in existing fire spread models.


Forum 3: Community data and modeling needs (2:30-3:15 PM CDT)

2:30 - 2:45 PM “Cultural burn and prescribed fires”, Melinda Adams (KU) and Sheena Parsons (Kansas Biological Survey)

2:45-3:15 PM Discussion: shared and diverse community needs for fire data, model, and digital twin (e.g., prescribed fire vs. cultural burns vs. wildfires).

Conclusion and Summary (3:15-3:30 PM CDT)

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