Birgit Peterson, PhD
Dr. Peterson received her PhD in Geography from the University of Maryland. She has been at USGS EROS for that last 10 plus years, supporting various fire science projects, including the LANDFIRE program.
Dr. Peterson received her PhD in Geography from the University of Maryland. She has been at USGS EROS for that last 10 plus years, supporting various fire science projects, including the LANDFIRE program. Her primary interest is in leverage remotely sensed data to assess vegetation structure, especially as it relates to wildland fire.
Science and Products
Filter Total Items: 24
Spatially explicit estimation of aboveground boreal forest biomass in the Yukon River Basin, Alaska Spatially explicit estimation of aboveground boreal forest biomass in the Yukon River Basin, Alaska
Quantification of aboveground biomass (AGB) in Alaska’s boreal forest is essential to the accurate evaluation of terrestrial carbon stocks and dynamics in northern high-latitude ecosystems. Our goal was to map AGB at 30 m resolution for the boreal forest in the Yukon River Basin of Alaska using Landsat data and ground measurements. We acquired Landsat images to generate a 3-year (2008...
Authors
Lei Ji, Bruce K. Wylie, Dana R. N. Brown, Birgit E. Peterson, Heather D. Alexander, Michelle C. Mack, Jennifer R. Rover, Mark P. Waldrop, Jack W. McFarland, Xuexia Chen, Neal J. Pastick
Automated integration of lidar into the LANDFIRE product suite Automated integration of lidar into the LANDFIRE product suite
Accurate information about three-dimensional canopy structure and wildland fuel across the landscape is necessary for fire behaviour modelling system predictions. Remotely sensed data are invaluable for assessing these canopy characteristics over large areas; lidar data, in particular, are uniquely suited for quantifying three-dimensional canopy structure. Although lidar data are...
Authors
Birgit Peterson, Kurtis Nelson, Carl Seielstad, Jason M. Stoker, W. Matt Jolly, Russell Parsons
Mapping forest height in Alaska using GLAS, Landsat composites, and airborne LiDAR Mapping forest height in Alaska using GLAS, Landsat composites, and airborne LiDAR
Vegetation structure, including forest canopy height, is an important input variable to fire behavior modeling systems for simulating wildfire behavior. As such, forest canopy height is one of a nationwide suite of products generated by the LANDFIRE program. In the past, LANDFIRE has relied on a combination of field observations and Landsat imagery to develop existing vegetation...
Authors
Birgit Peterson, Kurtis Nelson
LANDFIRE 2010 - updated data to support wildfire and ecological management LANDFIRE 2010 - updated data to support wildfire and ecological management
Wildfire is a global phenomenon that affects human populations and ecosystems. Wildfire effects occur at local to global scales impacting many people in different ways (Figure 1). Ecological concerns due to land use, fragmentation, and climate change impact natural resource use, allocation, and conservation. Access to consistent and current environmental data is a constant challenge, yet...
Authors
Kurtis J. Nelson, Joel A. Connot, Birgit E. Peterson, Joshua J. Picotte
The LANDFIRE Refresh strategy: updating the national dataset The LANDFIRE Refresh strategy: updating the national dataset
The LANDFIRE Program provides comprehensive vegetation and fuel datasets for the entire United States. As with many large-scale ecological datasets, vegetation and landscape conditions must be updated periodically to account for disturbances, growth, and natural succession. The LANDFIRE Refresh effort was the first attempt to consistently update these products nationwide. It incorporated...
Authors
Kurtis J. Nelson, Joel A. Connot, Birgit E. Peterson, Charley Martin
Towards integration of GLAS data into a national fuels mapping program Towards integration of GLAS data into a national fuels mapping program
Comprehensive canopy structure and fuel data are critical for understanding and modeling wildland fire. The LANDFIRE project produces such data nationwide based on a collection of field observations, Landsat imagery, and other geospatial data. Where field data are not available, alternate strategies are being investigated. In this study, vegetation structure data available from GLAS were...
Authors
Birgit E. Peterson, Kurtis Nelson, Bruce Wylie
Science and Products
Filter Total Items: 24
Spatially explicit estimation of aboveground boreal forest biomass in the Yukon River Basin, Alaska Spatially explicit estimation of aboveground boreal forest biomass in the Yukon River Basin, Alaska
Quantification of aboveground biomass (AGB) in Alaska’s boreal forest is essential to the accurate evaluation of terrestrial carbon stocks and dynamics in northern high-latitude ecosystems. Our goal was to map AGB at 30 m resolution for the boreal forest in the Yukon River Basin of Alaska using Landsat data and ground measurements. We acquired Landsat images to generate a 3-year (2008...
Authors
Lei Ji, Bruce K. Wylie, Dana R. N. Brown, Birgit E. Peterson, Heather D. Alexander, Michelle C. Mack, Jennifer R. Rover, Mark P. Waldrop, Jack W. McFarland, Xuexia Chen, Neal J. Pastick
Automated integration of lidar into the LANDFIRE product suite Automated integration of lidar into the LANDFIRE product suite
Accurate information about three-dimensional canopy structure and wildland fuel across the landscape is necessary for fire behaviour modelling system predictions. Remotely sensed data are invaluable for assessing these canopy characteristics over large areas; lidar data, in particular, are uniquely suited for quantifying three-dimensional canopy structure. Although lidar data are...
Authors
Birgit Peterson, Kurtis Nelson, Carl Seielstad, Jason M. Stoker, W. Matt Jolly, Russell Parsons
Mapping forest height in Alaska using GLAS, Landsat composites, and airborne LiDAR Mapping forest height in Alaska using GLAS, Landsat composites, and airborne LiDAR
Vegetation structure, including forest canopy height, is an important input variable to fire behavior modeling systems for simulating wildfire behavior. As such, forest canopy height is one of a nationwide suite of products generated by the LANDFIRE program. In the past, LANDFIRE has relied on a combination of field observations and Landsat imagery to develop existing vegetation...
Authors
Birgit Peterson, Kurtis Nelson
LANDFIRE 2010 - updated data to support wildfire and ecological management LANDFIRE 2010 - updated data to support wildfire and ecological management
Wildfire is a global phenomenon that affects human populations and ecosystems. Wildfire effects occur at local to global scales impacting many people in different ways (Figure 1). Ecological concerns due to land use, fragmentation, and climate change impact natural resource use, allocation, and conservation. Access to consistent and current environmental data is a constant challenge, yet...
Authors
Kurtis J. Nelson, Joel A. Connot, Birgit E. Peterson, Joshua J. Picotte
The LANDFIRE Refresh strategy: updating the national dataset The LANDFIRE Refresh strategy: updating the national dataset
The LANDFIRE Program provides comprehensive vegetation and fuel datasets for the entire United States. As with many large-scale ecological datasets, vegetation and landscape conditions must be updated periodically to account for disturbances, growth, and natural succession. The LANDFIRE Refresh effort was the first attempt to consistently update these products nationwide. It incorporated...
Authors
Kurtis J. Nelson, Joel A. Connot, Birgit E. Peterson, Charley Martin
Towards integration of GLAS data into a national fuels mapping program Towards integration of GLAS data into a national fuels mapping program
Comprehensive canopy structure and fuel data are critical for understanding and modeling wildland fire. The LANDFIRE project produces such data nationwide based on a collection of field observations, Landsat imagery, and other geospatial data. Where field data are not available, alternate strategies are being investigated. In this study, vegetation structure data available from GLAS were...
Authors
Birgit E. Peterson, Kurtis Nelson, Bruce Wylie