LANDFIRE Built on Science

Foundational to LANDFIRE has been the incorporation of research and science-based methods and data that has led to the extensive family of products LF is, and has delivered, over the years. The idea of LF started with some initial science and land managers. Given this start, collaboration with researchers over the years has provided a sound structure and backbone toward LF's effectiveness and delivery of results we see today. The following individuals and their respective work highlighted below, represent a driving force behind how LF has been created and its continued success today.  LF looks forward to adding researchers' science advancements through research to operations (R2O) pathways to further LF in the future. 

Birgit Peterson

• Monitoring Landscape Change for LANDFIRE Using Multi-Temporal Satellite Imagery and Ancillary Data
• Automated integration of lidar into the LANDFIRE product suite

James Vogelman

• Mapping Forest Height in Alaska Using GLAS, Landsat Composites, and Airborne LiDAR

Josh Picotte

• LANDFIRE Remap Prototype Mapping Effort: Developing a New Framework for Mapping Vegetation Classification, Change, and Structure
• LANDFIRE 2015 Remap – Utilization of Remotely Sensed Data to Classify Existing Vegetation Type and Structure to Support Strategic Planning and Tactical Response

Kevin Ryan

• LANDFIRE – A national vegetation/fuels data base for use in fuels treatment, restoration, and suppression planning

Kurtis Nelson

• The LANDFIRE Refresh Strategy: Updating the National Dataset
• LANDFIRE 2010—Updates to the national dataset to support improved fire and natural resource management
• A Landsat Data Tiling and Compositing Approach Optimized for Change Detection in the Conterminous United States

Matt Rollins

• The LANDFIRE Prototype Project: nationally consistent and locally relevant geospatial data for wildland fire management
• LANDFIRE: a nationally consistent vegetation, wildland fire, and fuel assessment
• Using simulated historical time series to prioritize fuel treatments on landscapes across the United States: The LANDFIRE prototype project

Matt Reeves

• Spatial fuel data products of the LANDFIRE Project
• Fuels Products of the LANDFIRE Project

Roger Ottmar

• An overview of the Fuel Characteristic Classification System — Quantifying, classifying, and creating fuelbeds for resource planning
• Using fine-scale fuel measurements to assess wildland fuels, potential fire behavior and hazard mitigation treatments in the southeastern USA

Susan Prichard

• Empirical approaches to modeling wildland fire in the Pacific Northwest, United States: methods and applications to landscape simulations

Zhi Lang Zhu and Robert E. Keane

• Using simulated historical time series to prioritize fuel treatments on landscapes across the United States: The LANDFIRE prototype project