Kurtis Nelson
Kurtis Nelson is a Scientist with the USGS Earth Resources Observation and Science (EROS) Center in Sioux Falls, SD.
Science and Products
Filter Total Items: 16
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 a combina
Authors
Kurtis J. Nelson, Joel A. Connot, Birgit E. Peterson, Charley Martin
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 used to f
Authors
Birgit E. Peterson, Kurtis Nelson, Bruce Wylie
Developing a regional canopy fuels assessment strategy using multi-scale lidar
Accurate assessments of canopy fuels are needed by fire scientists to understand fire behavior and to predict future fire occurrence. A key descriptor for canopy fuels is canopy bulk density (CBD). CBD is closely linked to the structure of the canopy; therefore, lidar measurements are particularly well suited to assessments of CBD. LANDFIRE scientists are exploring methods to integrate airborne an
Authors
Birgit E. Peterson, Kurtis Nelson
Vegetation change detection and quantification: linking Landsat imagery and LIDAR data
Measurements of the horizontal and vertical structure of vegetation are helpful for detecting and monitoring change or disturbance on the landscape. Lidar has a unique ability to capture the three-dimensional structure of vegetation canopies. In this preliminary study, we present the results of a series of exploratory data analyses that tested our assumptions about the links between the structural
Authors
Birgit E. Peterson, Kurtis J. Nelson
Science and Products
Filter Total Items: 16
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 a combina
Authors
Kurtis J. Nelson, Joel A. Connot, Birgit E. Peterson, Charley Martin
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 used to f
Authors
Birgit E. Peterson, Kurtis Nelson, Bruce Wylie
Developing a regional canopy fuels assessment strategy using multi-scale lidar
Accurate assessments of canopy fuels are needed by fire scientists to understand fire behavior and to predict future fire occurrence. A key descriptor for canopy fuels is canopy bulk density (CBD). CBD is closely linked to the structure of the canopy; therefore, lidar measurements are particularly well suited to assessments of CBD. LANDFIRE scientists are exploring methods to integrate airborne an
Authors
Birgit E. Peterson, Kurtis Nelson
Vegetation change detection and quantification: linking Landsat imagery and LIDAR data
Measurements of the horizontal and vertical structure of vegetation are helpful for detecting and monitoring change or disturbance on the landscape. Lidar has a unique ability to capture the three-dimensional structure of vegetation canopies. In this preliminary study, we present the results of a series of exploratory data analyses that tested our assumptions about the links between the structural
Authors
Birgit E. Peterson, Kurtis J. Nelson