Transform raw Sentinel-2 and Landsat 8/9 imagery into calibrated burn severity maps, interactive dual-pane baseline comparisons, and publication-ready cartographic PDF damage assessment reports in seconds.
Traditional wildfire remote sensing requires complex desktop GIS configurations, manual scene downloads, and credential management. GeoPlatform Wildfire automates the entire ingestion, calibration, and delivery pipeline.
Synchronized split-screen slider seamlessly compares true-color pre-fire baseline satellite imagery against the post-fire scene, highlighting burn scars in amber-gold (#f59e0b).
Generate official, publication-ready damage assessment reports complete with reverse-geocoded incident naming, acquisition metadata, high-resolution map frames, and USGS acreage breakdowns.
Inspect active thermal anomalies from NASA FIRMS VIIRS (375m) and MODIS (1km) sensors. Filter by Fire Radiative Power (FRP) and 1 to 10-day temporal windows to track advancing fire fronts.
Queries AWS Earth Search STAC for 30 km analysis polygons, clips granules to their exact footprints, and enforces a strict 98% union coverage threshold to eliminate misleading edge artifacts.
Computes Normalized Burn Ratio (NBR), differenced NBR (dNBR), and Sentinel-2 red-edge BAIS2. Binned automatically into standardized USGS / FIREMON Composite Burn Index severity tiers.
Stream 4-band Cloud-Optimized GeoTIFFs (COGs) via HTTP range requests without local downloading. Copy automated Python scripts for QGIS and ArcGIS Pro or connect via secured GeoAPI endpoints.
Explore verified historical disaster complexes. Each preset includes optimized coordinates, validated pre/post overpasses, and recorded Fire Radiative Power (FRP) metrics for instant analysis.
Deadliest & most destructive wildfire in California history. Completely decimated the town of Paradise within hours.
Historic megafires burned 18+ million hectares, destroyed ~3,000 homes, and impacted nearly 3 billion animals across Australia.
Largest single non-complex wildfire in California history. Burned for over 3 months across five Northern California counties.
Deadliest U.S. wildfire disaster in over a century. High winds fueled extreme spread through historic downtown Lahaina.
Historic Santa Ana windstorm triggered catastrophic simultaneous urban interface fires across Pacific Palisades and Altadena.
Canada's most destructive wildfire season in recorded history, causing mass continent-wide smoke plumes and city evacuations.
By pairing AWS Open Data Cloud-Optimized GeoTIFFs with GDAL WarpedVRT windowed streaming, our engine reads only the targeted 30 km analysis polygon without pulling gigabytes of planetary tiles.
Queries the public AWS Earth Search STAC catalog for cloud-free surface reflectance scenes captured before and after the event. Automatically clips and mosaics intersecting granules to ensure >=98% geometric union coverage.
Calculates dNBR = NBR_pre − NBR_post using NIR and SWIR bands (Sentinel-2 B8/B12 or Landsat B5/B7) and executes the red-edge BAIS2 formula. Masks clouds, cirrus, and shadows using Scene Classification Layers (SCL).
Streams four-band rasters (Bands 1–3 True Color RGB + Band 4 USGS Burn Mask) directly to the browser. Renders an interactive vertical slider to wipe between the pre-fire baseline and the post-fire amber-gold burn layer.
Instantly compiles an official cartographic PDF damage assessment report with incident naming, acreage tables, and map frames. Exposes range-supported COG URLs and Python snippets for QGIS and ArcGIS Pro.
Every classified pixel produced by the engine adheres to peer-reviewed USGS CBI thresholds, making outputs immediately compatible with post-fire Burned Area Emergency Response (BAER) protocols.
Post-fire vegetation flush or unburned high-density canopy
No measurable thermal damage or chlorophyll depletion
Surface fire with minor scorch to understory shrubs and grasses
Mixed mortality with scorch in intermediate crown canopy
Heavy canopy mortality, deep charring, and soil exposure
Complete canopy consumption, deep ash layer, and severe soil burn
Generated assets are delivered as Cloud-Optimized GeoTIFFs (COGs) with full HTTP range support. GIS analysts can load 30 km fire perimeters directly into QGIS or ArcGIS Pro without downloading multi-gigabyte rasters locally.
import rasterio
from rasterio.plot import show
# 1. Stream 4-band classified COG directly via HTTP range requests
cog_url = "https://wildfire.infrynetechworks.com/v1/burnscar/cog/event_108291.tif"
with rasterio.open(cog_url) as src:
# Read true-color RGB bands (1, 2, 3)
rgb = src.read([1, 2, 3])
# Read Band 4: USGS Burn Severity Classification
# 0 = No Data | 1 = Analyzed Unburned | 2 = Burn Scar
burn_mask = src.read(4)
print(f"CRS: {src.crs} | Bounds: {src.bounds}")
print(f"Burned Pixels Detected: {(burn_mask == 2).sum():,}")Healthy vegetation reflects strongly in the Near-Infrared (NIR) spectrum and absorbs Shortwave-Infrared (SWIR). Wildfire destruction inverts this signature: chlorophyll destruction plummets NIR reflectance while exposed char, ash, and scorched soil sharply elevate SWIR reflectance. By computing the differenced Normalized Burn Ratio (dNBR) between pre-fire and post-fire acquisitions, GeoPlatform quantifies exact vegetation loss and classifies damage into standardized USGS severity tiers.
Yes, 100% free with no login, subscription, or credit card required. Anyone can enter coordinates or pick from the showcase fire library, compute burn severity, run dual-pane comparisons, generate cartographic PDF damage assessment reports, and export Cloud-Optimized GeoTIFFs at no cost.
In a 30 km by 30 km analysis bounding box, a single satellite tile frequently clips across scene boundaries, which in basic tools produces misleading cut-off images. GeoPlatform’s GeoAPI engine dynamically discovers all intersecting STAC granules on that date, clips them to their actual footprints, mosaics them, and enforces a strict 98% union coverage threshold before performing spectral index math.
Yes. GeoPlatform provides a built-in GIS Export Hub. You can download Cloud-Optimized GeoTIFFs (COGs) with embedded CRS metadata, copy automated Python snippets that stream COGs directly into QGIS and ArcGIS Pro via HTTP range requests without local disk downloads, or export perimeter vectors in GeoJSON format.
NASA FIRMS active thermal telemetry is queried directly from NASA MODAPS feeds with typical latencies of 3 to 4 hours for VIIRS (375 m resolution) and 6 hours for MODIS (1 km resolution). GeoPlatform overlays active thermal hotspots with Fire Radiative Power (FRP) and temporal day-range filters (1–10 days) alongside post-fire burn severity rasters.
Yes. The underlying FastAPI GeoAPI provides versioned /v1 REST endpoints (/v1/burnscar/cog, /v1/burnscar/report, /v1/burnscar/firms) secured by API keys. Infryne TechWorks provides custom enterprise deployments, dedicated high-throughput workers, and sovereign on-premise spatial pipelines for emergency services, forestry departments, and insurers.
Launch the live interactive map, explore historic fire complexes, compare pre/post satellite passes, and generate official damage assessment reports with one click.