Susan K McIlroy, PhD
Susan is a Staff Scientist with the Office of Science Quality and Integrity (OSQI).
Susan began her career at the USGS in 2010 working for the Forest and Rangeland Ecosystem Science Center (FRESC). While an Ecologist at FRESC, she studied vegetation response to fire and other disturbance in the western United States. Susan transitioned to OSQI in 2024, where she is primarily contributing to the Laboratory Advisory Board (LAB!). As part of the LAB!, Susan interacts with USGS scientists to understand their needs, shares helpful tools and trainings, and contributes to recommendations and guidance regarding lab-specific issues across the Bureau.
Professional Experience
2024 - present: Staff Scientist, U.S. Geological Survey, Office of Science Quality and Integrity
2010 - 2024: Ecologist, U.S. Geological Survey, Forest and Rangeland Ecosystem Science Center, Boise, Idaho
2009 - 2010: Postdoctoral Researcher, University of California, Berkeley, California
Education and Certifications
Ph.D., Environmental Science, Policy, and Management, University of California, Berkeley
M.S., Land Rehabilitation, Montana State University
B.A., Sociology/Anthropology, Lewis and Clark College
Science and Products
If you are unable to access or download a product, email fresc_outreach@usgs.gov a request, including the full citation, or call (541) 750-1030.
If you are unable to access or download a product, email fresc_outreach@usgs.gov a request, including the full citation, or call (541) 750-1030.
Fuels guide and database for intact and invaded big sagebrush (Artemisia tridentata) ecological sites—User manual Fuels guide and database for intact and invaded big sagebrush (Artemisia tridentata) ecological sites—User manual
Methodological considerations of terrestrial laser scanning for vegetation monitoring in the sagebrush steppe Methodological considerations of terrestrial laser scanning for vegetation monitoring in the sagebrush steppe
Lidar aboveground vegetation biomass estimates in shrublands: Prediction, uncertainties and application to coarser scales Lidar aboveground vegetation biomass estimates in shrublands: Prediction, uncertainties and application to coarser scales
Estimating vegetation biomass and cover across large plots in shrub and grass dominated drylands using terrestrial lidar and machine learning Estimating vegetation biomass and cover across large plots in shrub and grass dominated drylands using terrestrial lidar and machine learning
Identifying key climate and environmental factors affecting rates of post-fire big sagebrush (Artemisia tridentata) recovery in the northern Columbia Basin, USA Identifying key climate and environmental factors affecting rates of post-fire big sagebrush (Artemisia tridentata) recovery in the northern Columbia Basin, USA
Landsat 8 and ICESat-2: Performance and potential synergies for quantifying dryland ecosystem vegetation cover and biomass Landsat 8 and ICESat-2: Performance and potential synergies for quantifying dryland ecosystem vegetation cover and biomass
Non-USGS Publications**
**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
If you are unable to access or download a product, email fresc_outreach@usgs.gov a request, including the full citation, or call (541) 750-1030.
If you are unable to access or download a product, email fresc_outreach@usgs.gov a request, including the full citation, or call (541) 750-1030.
Fuels guide and database for intact and invaded big sagebrush (Artemisia tridentata) ecological sites—User manual Fuels guide and database for intact and invaded big sagebrush (Artemisia tridentata) ecological sites—User manual
Methodological considerations of terrestrial laser scanning for vegetation monitoring in the sagebrush steppe Methodological considerations of terrestrial laser scanning for vegetation monitoring in the sagebrush steppe
Lidar aboveground vegetation biomass estimates in shrublands: Prediction, uncertainties and application to coarser scales Lidar aboveground vegetation biomass estimates in shrublands: Prediction, uncertainties and application to coarser scales
Estimating vegetation biomass and cover across large plots in shrub and grass dominated drylands using terrestrial lidar and machine learning Estimating vegetation biomass and cover across large plots in shrub and grass dominated drylands using terrestrial lidar and machine learning
Identifying key climate and environmental factors affecting rates of post-fire big sagebrush (Artemisia tridentata) recovery in the northern Columbia Basin, USA Identifying key climate and environmental factors affecting rates of post-fire big sagebrush (Artemisia tridentata) recovery in the northern Columbia Basin, USA
Landsat 8 and ICESat-2: Performance and potential synergies for quantifying dryland ecosystem vegetation cover and biomass Landsat 8 and ICESat-2: Performance and potential synergies for quantifying dryland ecosystem vegetation cover and biomass
Non-USGS Publications**
**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.