GOES-R

Rapid-refresh GOES-R satellite imagery used for smoke, fire, and weather monitoring workflows.

Overview

GOES-R provides high-frequency geostationary observations from the Advanced Baseline Imager, enabling continuous monitoring of atmospheric and surface processes across the Americas.

PyHazards uses it as rapid-refresh imagery for smoke, fire evolution, ignition monitoring, and operational situational awareness workflows.

At a Glance

Provider

NOAA GOES-R Program

Hazard Family

Shared Forcing

Source Role

Geostationary Imagery

Coverage

Western Hemisphere / Americas geostationary view

Geometry

Raster imagery time series on the ABI fixed grid

Spatial Resolution

~0.5-2 km depending on spectral band

Temporal Resolution

1-10 minute refresh depending on sector and mode

Update Cadence

Continuous ingest as new files become available

Period of Record

Ongoing operational satellite archive

Formats

NetCDF

Inspection CLI

python -m pyhazards.datasets.goesr.inspection --path /path/to/goesr_data --max-items 10

Data Characteristics

  • Raster time series rather than event records.

  • Typical Mode 6 scan cadence is 10 minutes for Full Disk, 5 minutes for CONUS, and 1 minute for mesoscale sectors.

  • Common products include visible and infrared imagery, brightness temperature, and fire-related thermal context.

  • Distribution latency depends on the access route even when observations are near real time.

Typical Use Cases

  • Early detection and monitoring of wildfire ignition and growth.

  • Smoke and fire evolution analysis at high temporal resolution.

  • Real-time situational awareness workflows.

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.goesr.inspection --path /path/to/goesr_data --max-items 10

Reference