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# Geometric Optimization
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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.
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Fits the VNIR detector data to the reference image. Creates new L1B data with overlapping detetctors - problem no mosaicing due to 20 pixel loss).
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adapts the EnMAP image geometry to a given Sentinel-2 L2A dataset.
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Fits the VNIR detector data to the reference image.
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# Input
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- L1B data
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- DEM or mean altitude
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- Geometric layer
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- Sentinel-2 data sets
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- global or local shifts
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- cloud masks for EnMAP and S2
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... | ... | @@ -24,9 +24,7 @@ Fits the VNIR detector data to the reference image. Creates new L1B data with ov |
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# Process Work Flow
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- transform L1B to L1C using RPCs
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- estimate coregistration error
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- estimate keystone error
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- transform L1B to L1C VNIR-Band using geometry layers.
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- estimate image shifts (VNIR)
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- improves geometry layers
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