Hi
These images were created using the same simple setup in v0.45, using just FDHSI. So essentially:
scn = Scene(filenames=files)
scn.load(["true_color", "natural_color"], upper_right_corner="NE")
scn_resampled = scn.resample(UK_area, resampler="nearest", radius_of_influence=5000)
scn_resampled.save_dataset(...
Many thanks for the background info on the FCI true color RGB.
Whilst I have your attention, please could you tell me how to use enhancements? It was suggested above how to setup a composite and enhancement to get a reverse greyscale plot of IR 10.5. I have configured satpy to see my composite OK but I do not know how to get it to apply the enhancement. It could be me but the online documentation doesn't seem very clear on this point. I perhaps naively thought it would be applied when plotting, due to having the same name as the composite, but the following doesn't work (for SEVIRI data, satpy v0.45):
from satpy import config
from satpy import Scene
from glob import glob
config.set(config_path=['/home/cpbatsto/satpy/configurations'])
filenames = glob('/data/home/satimage/segments/MSG_202312051030/*')
scn = Scene(reader='seviri_l1b_hrit', filenames=filenames)
scn.load(["ir108c"])
#<appears to load fine>
scn.show("ir108c")
where:
(satpy_env) [~/satpy/configurations]$ cat composites/seviri.yaml
sensor_name: visir/seviri
composites:
ir108c:
compositor: !!python/name:satpy.composites.GenericCompositor
standard_name: ir108c
prerequisites:
- name: IR_108
(satpy_env) [~/satpy/configurations]$ cat enhancements/seviri.yaml
enhancements:
ir108c:
standard_name: ir108c
operations:
- name: invert
method: !!python/name:satpy.enhancements.invert
args: [true]
All the best
Cris