A data block that provides non-rectified, unprojected high resolution 12-bit Pléiades images. Available since 2012, these images are acquired by the twin constellation Pléiades 1A and 1B on a daily basis anywhere on the globe. These images are optimal for users familiar with remote sensing processing methods who want to apply their own production techniques (orthorectification or 3D modelling).
See this block on the marketplace.
|Spatial resolution||2m (MS)|
|Acquisition mode||Stereo, Tristereo|
|Geometric processing level||Primary|
|Radiometric processing level||Reflectance|
|Incidence angle||Up to 45°|
|Spectral bands||R (0.590-0.710 µm)|
G (0.500-0.620 µm)
B (0.430-0.550 µm)
NIR (0.740-0.940 µm)
Panchromatic (0.470-0.830 µm)
|Metadata||Rational Polynomial Coefficients - provided for easier orthorectification and geometric processing.|
Attitude and ephemeris data
|Bit depth per pixel||12-bit|
|Can be reused in an UP42 workflow||No|
This block returns the RPC information encoded in the GeoTIFF file. To get the RPC data, use this code to return a dictionary with all the necessary information:
import rasterio as rio tif_path = "" with rio.open(tif_path) as src: rpc_dict = src.tags(ns="RPC")
For more information about geometric processing with RPCs, see the following online resources:
- Pléiades User Guide
- RPC Domain Metadata
- GIS StackExchange
- GDAL Documentation pages: RPC Georeferencing and gdalwarp
|array of strings / required|
An array of unique IDs without file extensions, specifying a certain image acquired by a satellite sensor. If used without a geometric filter, the full scene is retrieved. The number of IDs must correspond with the number defined by
|array of strings / required if|
Image acquisition date and time ranges in RFC 3339 format. This collection is available from 01.01.2012. The number of time ranges must correspond with the number of images specified in
|string / required if|
An image acquisition date and time range in RFC 3339 format. This collection is available from 01.01.2012. The default value is
|integer / required|
The number of images to be returned. The maximum number of returned images:
The maximum percentage of cloud cover. Values range from
|boolean / required|
Whether the specified AOI should be clipped:
|array of integers / required if|
A bounding box to use as an AOI. Will clip to scenes that intersect with this box.
|object / required if|
A GeoJSON geometry to use as an AOI. Will clip to scenes that fully cover this geometry.
|object / required if|
A GeoJSON geometry to use as an AOI. Will clip to scenes that intersect with this geometry.
Don't combine primary data with processing blocks. The primary geometric processing level is the closest to the natural image acquired by the sensor. It's not orthorectified, while processing blocks expect orthorectified products.
AOI size: The AOI must be larger than 0.1 km2.
Geometric filter: The output image is clipped to the AOI bounding box, so the image gaps will be padded with zeros until the bounding box is covered. Depending on the AOI shape and irregularity, the final output image might be larger and the credit consumption will slightly increase.
Example based on a workflow created with the data block Pléiades Primary without (tri-)stereo images:
Example based on a workflow created with the data block Pléiades Primary with (tri-)stereo images:
[ "red", "green", "blue", "nir", "pan" ]