EOReader - Remote-sensing opensource python library for optical and SAR sensors
EOReader is a remote-sensing opensource python library reading optical
and SAR constellations, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.
| Optical |
SAR |
Sentinel-2 and Sentinel-2 Theia
Sentinel-3 OLCI and SLSTR
Landsat 1 to 9
Harmonized Landsat-Sentinel
PlanetScope, SkySat and RapidEye
Pleiades and Pleiades-Neo
SPOT-6/7
SPOT-4/5
Vision-1
Maxar
SuperView-1
GEOSAT-2 |
Sentinel-1
COSMO-Skymed
TerraSAR-X, TanDEM-X and PAZ SAR
RADARSAT-2 and RADARSAT-Constellation
ICEYE
SAOCOM
Capella |
It also implements sensor-agnostic features, such as load and stack many bands:
- satellite bands (optical or SAR)
- spectral indices
- clouds
- DEM
Context
As one of the Copernicus Emergency Management Service Rapid Mapping and Risk and Recovery Mapping operators,
SERTIT needs to deliver geoinformation (such as flood or fire delineation, landslides mapping, etc.) based on multiple EO constellations.
In rapid mapping, it is important to have access to various sensor types, resolutions, and satellites. Indeed, SAR sensors are able to detect through clouds and during nighttime while optical sensors benefit from of multi spectral bands to better analyze and classify the crisis information.
This is why SERTIT decided to decouple the sensor handling from the extraction algorithms: the latter should be able to ingest semantic bands without worrying about how to load the specific sensor band or in what unit it is.
The assumption was made that all the spectral bands from optical sensors could be mapped bands between each other, in addition to the natural mapping between SAR bands.
Examples
- Why EOReader?
- Basic tutorial
- Optical data
- SAR data
- VHR data
- Water detection on multiple products
- STAC
