283 datasets found

Data were collected in collaboration between the National Center for Airborne Laser Mapping (NCALM) project and the Boulder Creek Critical Zone Observatory (CZO), both funded by...

This dataset contains observational field data collected by the California Prescribed Fire Monitoring Program at different field sites all over California collected in 2024, TLS...

This dataset contains observational field data collected by the California Prescribed Fire Monitoring Program at different field sites all over California collected in 2025, TLS...

Input and output tools for working with QUIC-Fire

Platform for creating 3D fuels

Coupled fire-atmospheric modeling tools are increasingly used to understand the complex and dynamic behavior of wildland fires. Multiple research tools linking combustion to...

BurnPro3D is a platform designed for use in fire mitigation by land managers and burn bosses to prioritize land for treatment, and plan and conduct prescribed burns. The...

FIRETEC is a physics-based, 3-D computer code designed to simulate the constantly changing, interactive relationship between fire and its environment. It does so by representing...

The first laptop-capable, real-time speed wildland fire behavior prediction software to explicitly model a fire’s two-way interaction with the atmosphere and 3D heterogeneous...

GUI to run QUIC-Fire on your computer

Trees program utilized by Firetec and QUIC-Fire to recreate virtual forests.

Ignition pattern simulator for prescribed fire

2023 Updates to the National Incident Feature Service and Event Geodatabase For 2023, there are no schema updates and no major changes to GeoOps or the GISS Workflow! This is a...

The Wildland Fire Interagency Geospatial Services (WFIGS) Group provides authoritative geospatial data products under the interagency Wildland Fire Data Program. Hosted in the...

open source software framework to create servers that are used to process and visualize a multiple of wildfire related static and dynamic data from ground sensors, satellites,...

LDSim's BPU data layer categorizes site productivity into biophysical classes, mapping historical tree biomass and ecological departures for regional analysis.

LDSim's GPU data layer models vegetation patterns, fire return intervals, and ecological departures at fine scales (~50 acres) to inform site-level restoration and management...

Combined likelihood of wildfire ignitions from human and natural (lightning) causes in southeastern ecosystems.

Combined probability of wildfire ignitions from both human and natural (lightning) causes across western landscapes.

Probability of naturally caused wildfire ignitions across the western United States.