Free Tier
Open data- Sentinel-2 (ESA)10 m multispectral, 5-day revisit
- Landsat 8/9 (USGS)30 m, 16-day revisit, 1972 archive
- MODIS (NASA)250 m, daily, global fire & vegetation
Earth Observation
See every change.
From space.
Multi-spectral analysis across free and commercial satellite constellations. Automated change detection, phenological time-series, and a STAC-compliant catalogue — all behind a single OGC WCS 2.0 API.
- 10 m
- Free-tier resolution (Sentinel-2)
- Sentinel-2 + Landsat
- Plus Planet, Maxar and Airbus commercial
- Daily revisit
- Up to daily frequency for commercial tiers
- STAC catalogue
- Full OGC STAC-compliant asset discovery
Analysis capabilities
Spectral analysis out of the box
Six pre-built analysis pipelines ready to run against any area of interest — no preprocessing required.
NDVI / Vegetation Health
Compute the Normalised Difference Vegetation Index from near-infrared and red bands to track canopy density, crop stress, and deforestation over time. Time-series stacks reveal seasonal cycles and long-term land-cover change.
NDWI / Water Bodies
Map surface water extent using the Normalised Difference Water Index derived from green and NIR bands. Automated thresholding distinguishes open water from wetlands and turbid floodplains at 10 m resolution.
Change Detection
Pixel-level and object-based change detection between any two image dates flags deforestation, urban expansion, flood inundation, and construction activity. Results are delivered as classified GeoTIFF and vector polygons.
Time-series Analysis
Build multi-year spectral time series from the Sentinel-2 archive (2017–present) to identify phenological cycles, anomaly events, and gradual land degradation. Outputs include breakpoint detection and trend slope rasters.
Atmospheric Correction
On-the-fly surface reflectance conversion using LaSRC for Landsat and Sen2Cor for Sentinel-2. Corrected surface reflectance values remove aerosol, water vapour, and adjacency effects for cross-date comparability.
Cloud Masking
Multi-layer cloud and cloud-shadow masks derived from s2cloudless and the Fmask algorithm eliminate contaminated pixels before index computation. Automatic scene selection picks the clearest available image for any AOI.
Data sources
One API. Every constellation.
Sources are aligned to pricing tiers so you only pay for the resolution you need.
Professional
Commercial- Planet Daily3–5 m, daily global mosaic
- Maxar WorldView30 cm Very High Resolution
- PlanetScope Archive3 m, 5+ year archive access
Enterprise
Tasked / SAR- Custom taskingOn-demand collection scheduling
- Airbus Pléiades Neo30 cm stereo and tri-stereo
- Tasked SAR (Capella)All-weather, day/night SAR imagery
Technical specs
Built for production geospatial workloads
| Parameter | Value |
|---|---|
| Resolution range | 10 m (free Sentinel-2) → 30 cm (commercial VHR) |
| Revisit frequency | Up to daily (commercial); 5-day (Sentinel-2) |
| Archive depth | Sentinel-2 from 2017; Landsat from 1972 (select bands) |
| Indices supported | NDVI, NDWI, NDSI, NBR, EVI, SAVI, MSAVI |
| Output formats | GeoTIFF, Cloud-Optimised GeoTIFF (COG), STAC JSON |
| API standards | OGC WCS 2.0, STAC API 1.0, OGC API Coverages |
| Atmospheric correction | LaSRC (Landsat), Sen2Cor (Sentinel-2), 6SV (commercial) |
| Cloud masking algorithm | s2cloudless, Fmask 4.0, scene-level QA bands |
Ready to monitor your landscape from orbit?
Book a personalised demo and we will walk through change detection, index analysis, and time-series workflows for your area of interest.
Request a demo