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12 Dec 2024 - 21:49 EST
13 Dec 2024 - 02:49 UTC
Post-tropical Cyclone Arthur - Day Land Cloud at 36.8°N - 68.6°W
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Day Land Cloud - EUMETSAT Natural Color - 19 May 2020 - 2200 UTC
Day Land Cloud - EUMETSAT Natural Color - 19 May 2020 - 2210 UTC
Day Land Cloud - EUMETSAT Natural Color - 19 May 2020 - 2220 UTC
Day Land Cloud - EUMETSAT Natural Color - 19 May 2020 - 2230 UTC
Day Land Cloud - EUMETSAT Natural Color - 19 May 2020 - 2240 UTC
Day Land Cloud - EUMETSAT Natural Color - 19 May 2020 - 2250 UTC
Day Land Cloud - EUMETSAT Natural Color - 19 May 2020 - 2300 UTC
Day Land Cloud - EUMETSAT Natural Color - 19 May 2020 - 2320 UTC
Day Land Cloud - EUMETSAT Natural Color - 19 May 2020 - 2330 UTC
Day Land Cloud - EUMETSAT Natural Color - 19 May 2020 - 2340 UTC
Day Land Cloud - EUMETSAT Natural Color - 19 May 2020 - 2350 UTC
Day Land Cloud - EUMETSAT Natural Color - 20 May 2020 - 0000 UTC
Day Land Cloud - EUMETSAT Natural Color - 20 May 2020 - 0010 UTC
Day Land Cloud - EUMETSAT Natural Color - 20 May 2020 - 0020 UTC
Day Land Cloud - EUMETSAT Natural Color - 20 May 2020 - 0040 UTC
Day Land Cloud - EUMETSAT Natural Color - 20 May 2020 - 0050 UTC
Day Land Cloud - EUMETSAT Natural Color - 20 May 2020 - 0100 UTC
Day Land Cloud - EUMETSAT Natural Color - 20 May 2020 - 0120 UTC
Day Land Cloud - EUMETSAT Natural Color - 20 May 2020 - 0140 UTC
Day Land Cloud - EUMETSAT Natural Color - 20 May 2020 - 0150 UTC
Day Land Cloud - EUMETSAT Natural Color - 20 May 2020 - 0200 UTC
Day Land Cloud - EUMETSAT Natural Color - 20 May 2020 - 0210 UTC
Day Land Cloud - EUMETSAT Natural Color - 20 May 2020 - 0230 UTC
Day Land Cloud - EUMETSAT Natural Color - 20 May 2020 - 0240 UTC
The Day Land Cloud RGB is the same as the Natural Color RGB developed by EUMETSAT. This RGB is useful for discriminating water/ice clouds to identify low/high clouds. High ice clouds, snow, and sea ice appear cyan, while low water clouds appear dull grey or white. Land/Ocean surfaces are in expected colors (but not true color). This imagery can also be used to assess vegetation and detect land surface changes where vegetation appears green and soil, inactive vegetation, and rock appear brown to dark gray.