Forest Resilience Lab
Current Projects
Sponsored Projects | Sponsor | Year of 1st funding |
Enhancing biodiversity conservation and ecosystem resilience in dry forest ecosystems | NASA | 2021 |
Improving predictions of fire impacts after mega drought: Lessons for carbon storage, defending the WUI, and improving resilience and recovery following the 2020 Creek Fire | Cal Fire | 2021 |
Use of FIA plots and spaceborne lidar for biomass estimation | Forest Service | 2021 |
Developing a framework to quantify uncertainty and harmonize estimates from diverse earth observation maps of forest carbon | NASA | 2021 |
Drivers of burn severity in western Oregon | CalFire | 2021 |
Enabling Wildfire as a Management Tool for Sierra Nevada Forest Management | McIntire-Stennis | 2021 |
When can wildfires improve forest resilience to future fire and drought? A study using spaceborne data. | NASA Graduate Fellowship | 2021 |
Carbon Monitoring System: Continuing Prototype Development | NASA/ Forest Service | 2020 |
Datasets and Sources for Wildland Fire Science and Management Applications | CalFire | 2020 |
Using advanced remote sensing to estimating woody shrub biomass: a pilot study in the Susitna-Copper inventory unit of interior Alaska – 3rd round funding | Forest Service | 2020 |
Lidar Individual Tree, Tree Clumps, and Opening Patterns within Land Management Units | Forest Service | 2020 |
3rd Year Funding – Determining forest resilience to drought-induced mortality with effects on carbon storage – NASA student fellowship (E. van Wagtendonk) | NASA | 2020 |
Assessing Landscape Resilience and Identifying Areas for Treatment | Forest Service | 2020 |
Analyzing Groundbreaking data for Modern Park Management | Yosemite Conservancy | 2020 |
Ellsworth Creek Evaluation | TNC | 2020 |
A framework for evaluating forest structure to inform restoration of forest resilience, wildlife habitat, and hydrology | Forest Service | 2020 |
Addressing common misconceptions about dry forest restoration and fuel treatments | Cal Fire | 2020 |
USGS 3DEP lidar acquisition matching funds for SSARR project | USGS | 2020 |
Southern Sierra All Lands Restoration and Recovery Program | Cal Fire/ YSRCDC | 2020 |
Carbon Monitoring System: Continuing Prototype Development | Forest Service | 2020 |
Fuel & Fire Decisions | Forest Service | 2019 |
Lidar data used to support forest management by federal, state, and local agencies in California | SNC | 2019 |
Northeast Washington Vision 2020 vegetation monitoring and implementation | Forest Service | 2019 |
Using advanced remote sensing to estimating woody shrub biomass: a pilot study in the Susitna-Copper inventory unit of interior Alaska | Forest Service | 2019 |
Evaluation of digital aerial photogrammetry data to characterize forest conditions | Forest Service | 2019 |
King County, WA Forest Stewardship Partnership | King Co. | 2019 |
Determining forest resilience to drought-induced mortality with effects on carbon storage | NASA | 2018 |
Improving Forest Management and Conservation with Airborne LiDAR Data Across Western Oregon | McIntire-Stennis | 2018 |
Utilizing Existing LIDAR Data to Collaboratively Develop Silvicultural Restoration Options and Identify American Marten Habitat on the Malheur and Wallowa-Whitman National Forests | Forest Service | 2018 |
Using advanced remote sensing to estimate woody shrub biomass: a pilot study in the Susitna-Copper inventory unit of interior Alaska | Forest Service | 2018 |
Mapping California spotted owl habitat | Forest Service | 2018 |
Multi-scale tools to interactively design and visualize treatment alternatives | Forest Service | 2018 |
Landscape Evaluations for 20 Year Plan | WA DNR | 2018 |
Planning and fuel data for the fire and smoke model evaluation experiment (FASMEE) | Forest Service | 2017 |
Characterizing spotted owl habitat using lidar | NPS | 2017 |
Using Airborne LiDAR Assess, Compare, and Contrast Forested Landscapes | Forest Service | 2017 |
Using multi-scale spatial data to improve predictions of immediate and delayed fire mortality | JFSP | 2017 |
Landscape Evaluations and Prescriptions for Post-fire Landscapes | JFSP | 2016 |
Using Airborne LiDAR to Detect and Characterize Individual Trees | Forest Service | 2016 |
Develop methods to integrate LiDAR data with landscape analysis methods developed by Paul Hessburg | Forest Service | 2015 |
Develop methods to use LiDAR to enhance fire management planning | NPS | 2015 |
Using Light Detection and Ranging (LiDAR) to Guide Burned Landscape Recovery and Restoration in Sierra Nevada Forests; Analyze forest structure characteristics of California spotted owl | Forest Service | 2014 |
Plan and monitor forest restorations across Colville National Forest | Forest Service | 2014 |
Integrate LiDAR data into forest planning and management | Forest Service | 2014 |
Analyze forest structure characteristics of Fisher habitat | NPS | 2014 |
Investigate how LiDAR data can be used to inform the planning and monitoring of forest restoration projects | NPS | 2014 |
Develop water balance models | TNC | 2014 |
Effects of fuels management on fire intensity, rate of spread, severity, and resultant forest structure within the 2013 Rim Fire landscape | JFSP | 2014 |
Supplementary funds for Using Light Detection and Ranging (LiDAR) to Guide Burned Landscape Recovery and Restoration in Sierra Nevada Forests | Forest Service | 2013 |
Characterizing Forest Structure Using Airborne LIDAR | Forest Service | 2013 |
Integrating and expanding a regional carbon monitoring system into the NASA Carbon Monitoring System | NASA | 2012 |
Data Processing and Field Sample Design for Medford, OR LIDAR Acquisition and Related Modeling to Characterize Forest Structure | Forest Service | 2012 |
Integrated, observation-based carbon monitoring for wooded ecosystems in Washington, Oregon, and California | USDA | 2011 |
Using LiDAR to Determine the Relationship between Fire History and Forest Structure at Crater Lake National Park | NPS | 2011 |
Data Processing Methods for Large-Area LIDAR Acquisitions And Related Modeling to Predict Forest Inventory Variables | Forest Service | 2011 |
GIS-Based LiDAR Ground Plot Selection Protocol | Forest Service | 2010 |
Refine fire management objectives related to forest structural heterogeneity in Yosemite National Park, CA | NPS | 2010 |
Map Fuel Characteristics at Mount Rainier National Park, WA, Using LiDAR and Field Data | NPS | 2010 |
Spectral Mixture Analysis of ASTER Images to Estimate Forest Biomass and Habitat (Graduate Fellowship) | NASA | 2007 |
Cal Fire – California Department of Forestry and Fire Protection;
JFSP – Joint Fire Science Program;
NPS – National Park Service;
SNC – Sierra Nevada Conservancy;
TNC – The Nature Conservancy;
YSRCDC – Yosemite/Sequoia Resource Conservation and Development Council
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