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Full text: Copernicus für das Umweltmonitoring

VON DEN DATEN ZUR KARTE 
Telemetry analysis 
I 
Preliminary QuickLook and 
cloud-mask generation 
Level-0 
Consolidated 
Decompression 
Level-IA 
Radiometric Corrections 
Inverse of on-board 
equalization 
Dark signal correction 
Blind pixels removing 
Crosstalk correction 
Relative response 
correction 
SWIR rearrangement 
Interpolation of defective 
pixels 
Interpolation of no-data 
Deconvolution and 
denoising 
Binning of 60 m bands 
Saturated no 
data/defective pixels 
mask generation 
Metadata update 
i 
Geometric viewing model 
refinement 
Refining of the viewing 
model using a global set 
of reference images 
Registration between 
VNIR and SWIR focal 
planes (optional) 
Level-IB 
J 
Resampling 
■ Geometry 
interpolation, grid 
computation 
■ Resampling (B- 
splines) 
i 
Conversion to reflectances 
l 
Preview image and 
masks generation 
(defective pixels, cloud 
and land/water) 
Top-of-atmosphere 
reflectances in 
cartographic geometry 
■ Systematic 
generation and 
online distribution 
Exmaple image 
Data volume: 500 MB 
each lOOx1D0 km 2 
Level-2A 
J 
Bottom-of-atmosphere 
reflectance in cartographic 
geometry 
(prototype product) 
■ Generation on user 
side (using Sentinel-2 
toolbox) 
Exmaple image 
Data volume: 600 MB 
each 100 x 100 km 2 
CN 
Abb. 5.5: Prozessierungsstufen der Sentinel-2-Produkte. Für unsere Übung haben wir ein Level-2A Sentinel-2-Produkt gewählt, da die Daten erst ab diesem Prozes- 
sierungslevel atmosphärenkorrigiert und orthorektifiziert vorliegen.
	        
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