Kyle B. Larson
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View article: Airborne LiDAR to Improve Canopy Fuels Mapping for Wildfire Modeling
Airborne LiDAR to Improve Canopy Fuels Mapping for Wildfire Modeling Open
Increasing conflict between wildfire and the built environment has increased the need for more up-to-date and finer resolution canopy fuels data to improve wildfire modeling and associated risk forecasts. The US Forest Service and US Depar…
View article: Improving Discovery, Sharing, and Use of Water Data: Initial Findings and Suggested Future Work
Improving Discovery, Sharing, and Use of Water Data: Initial Findings and Suggested Future Work Open
Collaborative management of water resources requires a broad suite of “water data” that extends beyond basic information about water quantity and quality to other related topics such as water infrastructure, aquatic ecosystem health, socio…
View article: Deep Learning Classification of Cheatgrass Invasion in the Western United States Using Biophysical and Remote Sensing Data
Deep Learning Classification of Cheatgrass Invasion in the Western United States Using Biophysical and Remote Sensing Data Open
Cheatgrass (Bromus tectorum) invasion is driving an emerging cycle of increased fire frequency and irreversible loss of wildlife habitat in the western US. Yet, detailed spatial information about its occurrence is still lacking for much of…
View article: pnnl/fieryfuture
pnnl/fieryfuture Open
Deep learning approaches which incorporate geophysical data and readings from multiple remote sensing platforms for predictive mapping of vegetation over very large, ecologically diverse regions.
View article: Multi-Formalism Modeling for Disaster Resilience, Forecasting, and Response
Multi-Formalism Modeling for Disaster Resilience, Forecasting, and Response Open
Disaster response preparedness, risk mitigation, and effective post-event response are critical for national security, public health, and economic integrity. For areas impacted by extreme events, timely and accurate impact assessments of l…
View article: Analysis of Remotely Sensed Datasets to Detect Changes in Waste Sites
Analysis of Remotely Sensed Datasets to Detect Changes in Waste Sites Open
This work evaluated various indirect remote techniques for detecting surficial changes and structural land deformation at the Hanford site. Given the partial collapse of the PUREX tunnel, and possible surface subsidence at other burial sit…
View article: Mapping Cheatgrass Across the Range of the Greater Sage-Grouse: Linking Biophysical, Climate and Remote Sensing Data to Predict Cheatgrass Occurrence
Mapping Cheatgrass Across the Range of the Greater Sage-Grouse: Linking Biophysical, Climate and Remote Sensing Data to Predict Cheatgrass Occurrence Open
Increasing spread of invasive annual grasses, such as Bromus tectorum (cheatgrass), can contribute to increased fire frequency and hinder the reestablishment of native sagebrush, forbs, and grasses in subsequent years. Knowledge of the cur…
View article: A Technical and Economic Optimization Approach to Exploring Offshore Renewable Energy Development in Hawaii
A Technical and Economic Optimization Approach to Exploring Offshore Renewable Energy Development in Hawaii Open
This study was conducted with the support of the U.S. Department of Energy’s (DOE’s) Wind and Water Power Technologies Office (WWPTO) as part of ongoing efforts to minimize key risks and reduce the cost and time associated with permitting …