LANDFIRE

Nationwide fuels, vegetation, and canopy layers used as static wildfire covariates.

Overview

LANDFIRE provides nationwide maps of vegetation, fuels, canopy structure, and fire regime information derived from remote sensing, field observations, and ecological modeling.

PyHazards uses it as static landscape context for wildfire spread, behavior, and risk-oriented workflows.

At a Glance

Provider

U.S. Forest Service LANDFIRE Program

Hazard Family

Wildfire

Source Role

Fuels and Vegetation

Coverage

United States

Geometry

Gridded raster layers

Spatial Resolution

~30 m

Temporal Resolution

Static or slowly varying versioned releases

Update Cadence

Annual versioned update suites

Period of Record

Versioned annual releases

Formats

GeoTIFF and related GIS packages

Inspection CLI

python -m pyhazards.datasets.landfire.inspection --path /path/to/landfire_data --max-items 10

Data Characteristics

  • Raster covariates rather than event records.

  • Versioned annual releases intended to stay current to the previous year.

  • Common layers include fuel models, vegetation type, canopy metrics, and fire regime products.

  • Distributed in projected coordinate systems with product-specific metadata.

Typical Use Cases

  • Fuel characterization for wildfire behavior and spread modeling.

  • Landscape-scale wildfire risk assessment.

  • Static feature layers for machine-learning wildfire models.

Access

Use the links below to access the upstream source or its public documentation.

PyHazards Usage

Use this dataset through the public inspection or registry surface documented below.

This dataset is currently documented as an external or inspection-first source rather than a public load_dataset(...) entrypoint.

Inspection Workflow

Use the documented inspection path below to validate local files before training or analysis.

python -m pyhazards.datasets.landfire.inspection --path /path/to/landfire_data --max-items 10

Reference