4,956 datasets found

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.

Four-day wind gust forecasts for weather stations in the San Diego Gas & Electric (SDG&E) weather network. A mix of machine learning techniques and a WRF (Weather...

This dataset outlines the boundaries of California Wildfire & Forest Resilience Task Force regions, encompassing Northern California, Central California, Southern...

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.

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

Probability of human-caused wildfire ignitions across the western United States.

/subbasinResults.zip • zone.tif = geotiff raster depicting zones (unique combinations of Subbasins and biophysical class (BPC); used as the landscape partition for quantifying...

Probability of human-caused wildfire ignitions across the southeastern United States.