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Sophie R Bonner (Former Employee)

Science and Products

fire burning parts of a forest at night time

Feasibility of Remote Sensing Data Sets for Evaluation of Next Generation Fire Behavior Models

U.S. Geological Survey (USGS) scientists are working with the U.S. Department of Defense (DoD) Environmental Security Technology Certification Program (ESTCP) to advance efforts to deploy next generation fire behavior models through a research-to-operations transition to enable land managers to use advanced modeling tools for real-time decision making. As part of this effort, USGS is leading an...
By
Ecosystems Mission Area, Fort Collins Science Center, Wildland Fire Science
Feasibility of Remote Sensing Data Sets for Evaluation of Next Generation Fire Behavior Models

Feasibility of Remote Sensing Data Sets for Evaluation of Next Generation Fire Behavior Models

U.S. Geological Survey (USGS) scientists are working with the U.S. Department of Defense (DoD) Environmental Security Technology Certification Program (ESTCP) to advance efforts to deploy next generation fire behavior models through a research-to-operations transition to enable land managers to use advanced modeling tools for real-time decision making. As part of this effort, USGS is leading an...
Learn More
Image: Prescribed Fire at Sunset in the Jemez Mountains, New Mexico

Fire Behavior and Effects Model Evaluation and Demonstration across Innovation Landscapes.

U.S. Geological Survey (USGS) scientists are working with the U.S. Department of War (DoW) Environmental Security Technology Certification Program (ESTCP) to demonstrate and improve how next-generation fire behavior models inform land management decision-making for partners within the National Innovation Landscape Network (Innovation Landscapes Network). Specifically, this project looks to...
By
Ecosystems Mission Area, Land Management Research Program, Fort Collins Science Center, Wildland Fire Science
Fire Behavior and Effects Model Evaluation and Demonstration across Innovation Landscapes.

Fire Behavior and Effects Model Evaluation and Demonstration across Innovation Landscapes.

U.S. Geological Survey (USGS) scientists are working with the U.S. Department of War (DoW) Environmental Security Technology Certification Program (ESTCP) to demonstrate and improve how next-generation fire behavior models inform land management decision-making for partners within the National Innovation Landscape Network (Innovation Landscapes Network). Specifically, this project looks to...
Learn More

Assessing the potential for evaluation of wildland fire models using remotely sensed data—Summary proceedings from a U.S. Geological Survey workshop in 2024 Assessing the potential for evaluation of wildland fire models using remotely sensed data—Summary proceedings from a U.S. Geological Survey workshop in 2024

On September 19, 2024, the U.S. Geological Survey (USGS) held a virtual workshop titled “Potential for Evaluation of Fire Models with Remote Sensing Data Workshop” to assess the feasibility of using remotely sensed datasets to evaluate next-generation wildland fire behavior models. Remote sensing and fire modelling experts gathered to: (1) assess the suitability of a variety of...
Authors
Sophie R. Bonner, Kurtis Nelson, Peter G. Rinkleff, Chad M. Hoffman, Paul F. Steblein
By
Ecosystems Mission Area, Fort Collins Science Center

Non-USGS Publications**

Bonner, S. R., Poessel, S. A., Brandt, J. C., Astell, M. T., Belthoff, J. R., & Katzner, T. E. (2022). Drivers of flight performance of California condors (Gymnogyps californianus). Journal of Raptor Research, 56(1), 17-27.
Bonner, S. R., Hoffman, C. M., Kane, J. M., Varner, J. M., Hiers, J. K., O’Brien, J. J., ... & Sieg, C. H. (2021). Invigorating prescribed fire science through improved reporting practices. Frontiers in Forests and Global Change, 4, 750699.
Bonner, S. R., Hoffman, C. M., Linn, R. R., Tinkham, W. T., Atchley, A. L., Sieg, C. H., Varner, J. M., O'Brien, J. J., Hiers, J. K. (2024). Forest structural complexity and ignition pattern influence simulated prescribed fire effects. Fire Ecology, 20(1), 82.
Atchley, A. L., Hoffman, C. M., Bonner, S. R., Ritter, S. M., O’Brien, J., & Linn, R. R. (2024). Evaluating crown scorch predictions from a computational fluid dynamics wildland fire simulator. Fire Ecology, 20(1), 71.

**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.

Science and Products

fire burning parts of a forest at night time

Feasibility of Remote Sensing Data Sets for Evaluation of Next Generation Fire Behavior Models

U.S. Geological Survey (USGS) scientists are working with the U.S. Department of Defense (DoD) Environmental Security Technology Certification Program (ESTCP) to advance efforts to deploy next generation fire behavior models through a research-to-operations transition to enable land managers to use advanced modeling tools for real-time decision making. As part of this effort, USGS is leading an...
By
Ecosystems Mission Area, Fort Collins Science Center, Wildland Fire Science
Feasibility of Remote Sensing Data Sets for Evaluation of Next Generation Fire Behavior Models

Feasibility of Remote Sensing Data Sets for Evaluation of Next Generation Fire Behavior Models

U.S. Geological Survey (USGS) scientists are working with the U.S. Department of Defense (DoD) Environmental Security Technology Certification Program (ESTCP) to advance efforts to deploy next generation fire behavior models through a research-to-operations transition to enable land managers to use advanced modeling tools for real-time decision making. As part of this effort, USGS is leading an...
Learn More
Image: Prescribed Fire at Sunset in the Jemez Mountains, New Mexico

Fire Behavior and Effects Model Evaluation and Demonstration across Innovation Landscapes.

U.S. Geological Survey (USGS) scientists are working with the U.S. Department of War (DoW) Environmental Security Technology Certification Program (ESTCP) to demonstrate and improve how next-generation fire behavior models inform land management decision-making for partners within the National Innovation Landscape Network (Innovation Landscapes Network). Specifically, this project looks to...
By
Ecosystems Mission Area, Land Management Research Program, Fort Collins Science Center, Wildland Fire Science
Fire Behavior and Effects Model Evaluation and Demonstration across Innovation Landscapes.

Fire Behavior and Effects Model Evaluation and Demonstration across Innovation Landscapes.

U.S. Geological Survey (USGS) scientists are working with the U.S. Department of War (DoW) Environmental Security Technology Certification Program (ESTCP) to demonstrate and improve how next-generation fire behavior models inform land management decision-making for partners within the National Innovation Landscape Network (Innovation Landscapes Network). Specifically, this project looks to...
Learn More

Assessing the potential for evaluation of wildland fire models using remotely sensed data—Summary proceedings from a U.S. Geological Survey workshop in 2024 Assessing the potential for evaluation of wildland fire models using remotely sensed data—Summary proceedings from a U.S. Geological Survey workshop in 2024

On September 19, 2024, the U.S. Geological Survey (USGS) held a virtual workshop titled “Potential for Evaluation of Fire Models with Remote Sensing Data Workshop” to assess the feasibility of using remotely sensed datasets to evaluate next-generation wildland fire behavior models. Remote sensing and fire modelling experts gathered to: (1) assess the suitability of a variety of...
Authors
Sophie R. Bonner, Kurtis Nelson, Peter G. Rinkleff, Chad M. Hoffman, Paul F. Steblein
By
Ecosystems Mission Area, Fort Collins Science Center

Non-USGS Publications**

Bonner, S. R., Poessel, S. A., Brandt, J. C., Astell, M. T., Belthoff, J. R., & Katzner, T. E. (2022). Drivers of flight performance of California condors (Gymnogyps californianus). Journal of Raptor Research, 56(1), 17-27.
Bonner, S. R., Hoffman, C. M., Kane, J. M., Varner, J. M., Hiers, J. K., O’Brien, J. J., ... & Sieg, C. H. (2021). Invigorating prescribed fire science through improved reporting practices. Frontiers in Forests and Global Change, 4, 750699.
Bonner, S. R., Hoffman, C. M., Linn, R. R., Tinkham, W. T., Atchley, A. L., Sieg, C. H., Varner, J. M., O'Brien, J. J., Hiers, J. K. (2024). Forest structural complexity and ignition pattern influence simulated prescribed fire effects. Fire Ecology, 20(1), 82.
Atchley, A. L., Hoffman, C. M., Bonner, S. R., Ritter, S. M., O’Brien, J., & Linn, R. R. (2024). Evaluating crown scorch predictions from a computational fluid dynamics wildland fire simulator. Fire Ecology, 20(1), 71.

**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.

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