Satellite Imagery Analysis & Earth Observation AI

Automated Satellite Imagery Analysis, Multispectral Processing & AI Detection

Advanced satellite imagery analysis services. Automated pipelines for Sentinel-2, Landsat 8/9, and high-resolution imagery featuring spectral band math, AI object detection, and change monitoring.

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// The buying trigger

You probably need this when…

01

Extracting actionable signals from multispectral bands requires specialized sensor knowledge and math.

02

Massive raster file sizes overwhelm local GIS workstations and standard data processing tools.

03

Tracking gradual environmental stress or sudden catastrophe impact lacks real-time automated verification.

// Concrete scope

What the engagement delivers

Every item is tied to an acceptance owner and evidence. Final scope is confirmed after data, security, and integration review.

DELIVERABLE 01

Calibrated multispectral raster products (Surface Reflectance, Bottom of Atmosphere)

DELIVERABLE 02

Spectral index time-series (dNBR, BAIS2, NDVI, NDMI, NDTI, Land Surface Temperature)

DELIVERABLE 03

Automated vector polygon extraction of damaged zones, water bodies, or urban footprints

DELIVERABLE 04

Cloud-Optimized GeoTIFF (COG) outputs and STAC-compliant metadata catalog

DELIVERABLE 05

Interactive temporal swipe dashboard comparing before-and-after satellite acquisitions

// Delivery process

From evidence to operational handover

  1. 01

    STAC Ingestion

    Query and stream analysis-ready data via SpatioTemporal Asset Catalogs (STAC) without downloading full scenes.

  2. 02

    Band Math & Indices

    Compute standardized biophysical and burn severity indices across multi-temporal raster cubes.

  3. 03

    Thresholding & Segmentation

    Apply adaptive Otsu thresholding, clustering, and deep learning segmentation to isolate anomalies.

  4. 04

    Vectorization & Delivery

    Convert classified raster masks into clean, smoothed vector geometries ready for enterprise GIS.

// Proof before promises

How value is verified

No vanity accuracy number. Evidence is chosen around the operational decision and agreed before delivery starts.

  • ✓Powers the BurnScar satellite wildfire platform analyzing Sentinel-2 and Landsat 8/9 in real-time
  • ✓Zero-download cloud-native raster pipelines processing 500+ km² in seconds using AWS and COG rasters
  • ✓Peer-reviewed band math algorithms aligned with USGS and European Space Agency standards
// Buyer questions

Frequently asked questions

What is the spatial resolution of satellite imagery analysis?+

Free European Space Agency Sentinel-2 imagery provides 10-meter and 20-meter resolution, while Landsat provides 30-meter multispectral data. For sub-meter precision (30 cm to 50 cm), we ingest commercial tasking imagery.

Can satellite imagery analysis be used for insurance damage assessment?+

Yes. Differenced indices like dNBR (wildfire burn severity) and NDWI (flood extent) provide objective, tamper-proof proof of loss before and after natural catastrophe events.

How do you automate satellite data ingestion?+

We deploy serverless Python functions that listen to AWS Earth on AWS or Element84 STAC event notifications, triggering automated band math and cloud masking whenever a new satellite overpass occurs.

Live GeoAI Product · Free ToolExplore our live Wildfire BurnScar Detection PlatformAutomated Sentinel-2 & Landsat 8/9 multispectral processing, USGS dNBR/BAIS2 severity index calculation, NASA FIRMS active fire overlay, and Cloud-Optimized GeoTIFF downloads.Launch BurnScar Map →
// Related expertise

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Bring us the problem, not a perfect brief.

Three fields start the conversation. An engineer will help determine fit, data readiness, and the smallest useful next step.

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