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For over 20 years, ESIP meetings have brought together the most innovative thinkers and leaders around Earth science data, thus forming a community dedicated to making Earth science data more discoverable, accessible and useful to researchers, practitioners, policymakers, and the public. The theme of this year’s meeting is "Data for All People: From Generation to Use and Understanding."

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Wednesday, January 19 • 1:30pm - 4:00pm
In-situ and remotely-sensed data integration for wildfire management

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visual map of the topics that will be discussed in this session can be previewed here (warning: very large image).

This session continues the synthesis of ideas contributed by individuals from various ESIP clusters (including Agriculture and Climate, Semantic Harmonization, EnviroSensing, Machine Learning, and Drones) applied to wildfire management. This session focuses on the challenge of ingesting heterogeneous data from in-situ and remotely-sensed systems into models and applications between the pre-fire and fire containment phases. Scenarios include (a) using heterogeneous data for better planning prescribed burns by using data before and after a burn for ingestion into fire behavior models, and (b) using heterogeneous data to recommend both strategic fuel break siting during pre-fire planning and optimal containment line location in the course of active wildfire fighting.

This synthesis session directly extends two of the key takeaways proposed by discussants during the 2021 ESIP summer meeting session “Identifying technology capabilities that meet wildfire science and practitioner requirements”: (a) “...improve fusion among near-term fire behavior model data, values-at-risk data, and sensor data that can be represented and visualized in a Common Operating Picture”, and (b) “...better estimate burn severity by fusing data from various sources (in-situ, remote, model)”.

High-level agenda for this session:
  1. Preview and synthesis of session concepts (Brian Wee  |  Massive Connections)
  2. Stakeholder perspective: Keeping your eyes on the big picture (Genny Biggs  |  Gordon and Betty Moore Foundation)
  3. Stakeholder perspective: Challenges from the wildfire frontlines (Chief Dave Winnacker  |  Fire Chief at Moraga-Orinda Fire District)
  4. Technical solution perspective:  In-situ EnviroSensing: challenges and opportunities in the (wild)fire continuum (Scotty Strachan  |  Nevada EPSCoR  |  ESIP EnviroSensing Cluster)
  5. Technical solution perspective:  sUAS data use/reuse/repurpose for science and management (Andrea Thomer  |  University of Michigan  |  ESIP Drones Cluster)
  6. Technical solution perspective:  Wildland Fire Simulation and Data Assimilation using UAS data (Xiaolin Hu  |  Georgia State University)
  7. Technical solution perspective:  AI/ML for Wildfire: Limits and Opportunities (Ziheng Sun  |  George Mason University  |  ESIP Machine Learning Cluster)
  8. Breakout groups for (1) In-situ and remote data fusion, (2) UAS data ingest into models.
  9. Breakout groups present on (1) Barriers to implementation, (2) What is achievable in the short-term
  10. Synthesis and looking ahead

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View Notes

avatar for Rustem Arif Albayrak

Rustem Arif Albayrak

Associate Research Engineer, UMBC/NASA
avatar for Martha Apple

Martha Apple

Professor, Biological Sciences, Montana Technological University
Alpine Plant Ecology, Climate Change, and Environmental Sensing
avatar for Scotty Strachan

Scotty Strachan

Director of Cyberinfrastructure, University of Nevada, Reno
Institutional cyberinfrastructure, sensor-based science, mountain climate observatories!
avatar for Bill Teng

Bill Teng

avatar for Brian Wee

Brian Wee

Founder and Managing Director, Massive Connections, LLC
Transdisciplinary scientist invested in the use of environmental data and information for science, education, and decision-making for challenges at the nexus of global environmental change, natural resources, and society. Strategized and executed initiatives to engage the US Congress... Read More →

Wednesday January 19, 2022 1:30pm - 4:00pm EST
  Breakout, Breakout