Adam Watts

Treesearch Publications

• Riyaaz U. Shaik, Mohamad Alipour, Eric Rowell, Adam Watts, Christopher W. W. Woodall, Ertugrul Taciroglu. 2025. Remote Sensing and Mapping of Fine Woody Carbon With Satellite Imagery and Super Learner
• Sayed Pedram Haeri Boroujeni, Abolfazl Razi, Sahand Khoshdel, Fatemeh Afghah, Janice L. Coen, Leo O’Neill, Peter Fule, Adam Watts, Nick-Marios T. Kokolakis, Kyriakos G. Vamvoudakis. 2024. A comprehensive survey of research towards AI-enabled unmanned aerial systems in pre-, active-, and post-wildfire management
• Leda N. Kobziar, J. Kevin Hiers, Claire M. Belcher, William J. Bond, Carolyn A. Enquist, E. Louise Loudermilk, Jessica R. Miesel, Joseph J. O'Brien, Juli G. Pausas, Sharon M. Hood, Robert E. Keane, Penelope Morgan, Melissa R. A. Pingree, Karin Riley, Hugh Safford, Francisco Seijo, J. Morgan Varner, Tamara Wall, Adam Watts. 2024. Principles of fire ecology
• T. Ryan McCarley, Andrew T. Hudak, Benjamin C. Bright, James Cronan, Paige Eagle, Roger D. Ottmar, Adam Watts. 2024. Generating fuel consumption maps on prescribed fire experiments from airborne laser scanning
• Phinehas Lampman, Ali Tohidi, Adam K. Kochanski, Antonio Cervantes, Andrew T. Hudak, Leda N. Kobziar, Ryan McCarley, Brian Gullett, Johanna Aurell, Rachel Moore, David C. Vuono, Brent C. Christner, Adam Watts, James Cronan, Roger D. Ottmar. 2024. Bacterial emission factors: A foundation for the terrestrial-atmospheric modeling of bacteria aerosolized by wildland fires
• Mohamad Alipour, Inga La Puma, Joshua Picotte, Kasra Shamsaei, Eric Rowell, Adam Watts, Branko Kosovic, Hamed Ebrahimian, Ertugrul Taciroglu. 2023. A multimodal data fusion and deep learning framework for large-scale wildfire surface fuel mapping
• Xiwen Chen, Bryce Hopkins, Hao Wang, Leo O'Neill, Fatemeh Afghah, Abolfazl Razi, Peter Fule, Janice Coen, Eric Rowell, Adam Watts. 2022. Wildland fire detection and monitoring using a drone-collected RGB/IR image dataset
• Negar Elhami‑Khorasani, Hamed Ebrahimian, Lawrence Buja, Susan L. Cutter, Branko Kosovic, Neil Lareau, Brian J. Meacham, Eric Rowell, Ertugrul Taciroglu, Matthew P. Thompson, Adam Watts. 2022. Conceptualizing a probabilistic risk and loss assessment framework for wildfires
• Leda N. Kobziar, Melissa R. A. Pingree, Adam Watts, Kellen N. Nelson, Tyler J. Dreaden, Mary Ridout. 2019. Accessing the life in smoke: A new application of unmanned aircraft systems (UAS) to sample wildland fire bioaerosol emissions and their environment

• Program
  

  Fire, Fuels, and Smoke

  https://research.fs.usda.gov/pnw/programs/ffs
  Station

  Pacific Northwest Research Station
• Center or Group
  

  Fire and Smoke Model Evaluation Experiment (FASMEE)

  https://research.fs.usda.gov/pnw/centers/fasmee
  Station

  Pacific Northwest Research Station
• Project
  

  Wildland Fire Smoke and Emissions Decision Support

  https://research.fs.usda.gov/pnw/projects/bil-wildland-fire-smoke-and-emissions-decision-support
  Station

  Pacific Northwest Research Station
• Project
  

  Assessing fuels treatment impacts for wildfire risk, forest carbon, and wildlife habitat

  https://research.fs.usda.gov/rmrs/projects/bil-assessing-fuels-treatment-impacts-wildfire-risk-forest-carbon-and-wildlife
  Station

  Rocky Mountain Research Station
• Center or Group
  

  Fire and Environmental Research Applications Team (FERA)

  https://research.fs.usda.gov/pnw/centers/fera
  Station

  Pacific Northwest Research Station

Other Publications

• Understory
  

  Fire and Smoke Model Evaluation Experiment Final Report—Phase 2

  https://research.fs.usda.gov/pnw/understory/fire-and-smoke-model-evaluation-experiment-final-report-phase-2

Multimedia

• Video

  Learning and Burning FASMEE 2023

  https://research.fs.usda.gov/pnw/products/multimedia/videos/learning-and-burning-fasmee-2023
• Video

  Learning and Burning FASMEE 2023 (trailer)

  https://research.fs.usda.gov/pnw/products/multimedia/videos/learning-and-burning-fasmee-2023-trailer
• Webinars

  PNW SciCast Webinar: 2023 Fire and Smoke Model Evaluation Experiment Updates

  https://research.fs.usda.gov/pnw/products/multimedia/webinars/pnw-scicast-webinar-2023-fire-and-smoke-model-evaluation