Geometric Optimization
adapts the EnMAP image geometry to a given Sentinel-2 L2A dataset. Additionally the EnMAP co-registration and the keystone errors are taken into account. Fits the VNIR detector data to the reference image.
Input
- L1B data
- DEM or mean altitude
- Sentinel-2 data sets
- global or local shifts
- cloud masks for EnMAP and S2
Output
- Geometry layer
Memory Budget
Necessary Functions
- rcp2geolayer
Process Work Flow
- transform L1B to L1C using RPCs
- estimate coregistration error
- estimate keystone error
- estimate image shifts (VNIR)
- improves geometry layers