Casey Menick
Casey Menick is a Geographer with the Geosciences and Environmental Change Science Center in Denver, Colorado.
Casey Menick uses satellite imagery to evaluate the impacts of wildland fire on a landscape scale. She is particularly interested in the influence of natural disturbances on forest regeneration, ecosystem resilience, and landscape change.
Professional Experience
Forest Regeneration Program and Data Specialist, Wisconsin Dept. of Natural Resources, 2018-2020
Research Specialist, Great Lakes Bioenergy Research Center, 2014-2018
Education and Certifications
M.S. Forest Sciences, Colorado State University 2023
B.S. Biology & Environmental Science, University of Wisconsin – Madison, 2014
Science and Products
Modelling and mapping burn severity of prescribed and wildfires across the southeastern United States (2000-2022) Modelling and mapping burn severity of prescribed and wildfires across the southeastern United States (2000-2022)
BackgroundThe southeastern United States (‘Southeast’) experiences high levels of fire activity, but the preponderance of small and prescribed fires means that existing burn severity products are incomplete across the region.AimsWe developed and applied a burn severity model across the Southeast to enhance our understanding of regional burn severity patterns.MethodsWe used Composite Burn...
Authors
Melanie K. Vanderhoof, Casey Elizabeth Menick, Joshua J. Picotte, Kevin Robertson, Holly Nowell, Chris Matechik, Todd Hawbaker
Annual burn severity mosaics for the southeastern United States (2000-2022) Annual burn severity mosaics for the southeastern United States (2000-2022)
The southeastern United States experiences frequent wild and prescribed fire activity. Mapped burn severity products in the southeastern U.S. face challenges accurately characterizing fire effects due to rapid post-fire recovery limiting observation windows, limited availability of cloud-free imagery, spectral confusion within wetland areas, and operational constraints. As mapped burn...
The Landsat Collection 2 Burned Area Products for the conterminous United States (ver. 2.0, April 2024) The Landsat Collection 2 Burned Area Products for the conterminous United States (ver. 2.0, April 2024)
The U.S. Geological Survey (USGS) has developed and implemented an algorithm that identifies burned areas in temporally dense time series of Landsat Analysis Ready Data (ARD) scenes to produce the Landsat Burned Area Products. The algorithm uses predictors derived from individual ARD Landsat scenes, lagged reference conditions, and change metrics between the scene and reference...
Contemporary fire history metrics for the conterminous United States (1984-2024) (ver. 4.0, March 2025) Contemporary fire history metrics for the conterminous United States (1984-2024) (ver. 4.0, March 2025)
Fire history metrics enable rapidly increasing amounts of burned area data to be collapsed into a handful of data layers that can be used efficiently by diverse stakeholders. In this effort, the U.S. Geological Survey's Landsat Burned Area product was used to identify burned area across CONUS over a 41-year period (1984-2024). The Landsat BA product was consolidated into a suite of...
Science and Products
Modelling and mapping burn severity of prescribed and wildfires across the southeastern United States (2000-2022) Modelling and mapping burn severity of prescribed and wildfires across the southeastern United States (2000-2022)
BackgroundThe southeastern United States (‘Southeast’) experiences high levels of fire activity, but the preponderance of small and prescribed fires means that existing burn severity products are incomplete across the region.AimsWe developed and applied a burn severity model across the Southeast to enhance our understanding of regional burn severity patterns.MethodsWe used Composite Burn...
Authors
Melanie K. Vanderhoof, Casey Elizabeth Menick, Joshua J. Picotte, Kevin Robertson, Holly Nowell, Chris Matechik, Todd Hawbaker
Annual burn severity mosaics for the southeastern United States (2000-2022) Annual burn severity mosaics for the southeastern United States (2000-2022)
The southeastern United States experiences frequent wild and prescribed fire activity. Mapped burn severity products in the southeastern U.S. face challenges accurately characterizing fire effects due to rapid post-fire recovery limiting observation windows, limited availability of cloud-free imagery, spectral confusion within wetland areas, and operational constraints. As mapped burn...
The Landsat Collection 2 Burned Area Products for the conterminous United States (ver. 2.0, April 2024) The Landsat Collection 2 Burned Area Products for the conterminous United States (ver. 2.0, April 2024)
The U.S. Geological Survey (USGS) has developed and implemented an algorithm that identifies burned areas in temporally dense time series of Landsat Analysis Ready Data (ARD) scenes to produce the Landsat Burned Area Products. The algorithm uses predictors derived from individual ARD Landsat scenes, lagged reference conditions, and change metrics between the scene and reference...
Contemporary fire history metrics for the conterminous United States (1984-2024) (ver. 4.0, March 2025) Contemporary fire history metrics for the conterminous United States (1984-2024) (ver. 4.0, March 2025)
Fire history metrics enable rapidly increasing amounts of burned area data to be collapsed into a handful of data layers that can be used efficiently by diverse stakeholders. In this effort, the U.S. Geological Survey's Landsat Burned Area product was used to identify burned area across CONUS over a 41-year period (1984-2024). The Landsat BA product was consolidated into a suite of...