Notice:
This site has successfully transitioned the image data source from GOES-16 to
GOES-19. There are some remaining anomalies in the production of mesoscale
geocolor images which are being investigated. Everything else should be operating
as expected. Please contact:
NESDIS.STAR.webmaster@noaa.gov if you have any questions.
20 Apr 2025 - 18:07 EDT
20 Apr 2025 - 22:07 UTC
GOES-19 CONUS - Tropospheric Dust Content
1 hour loop - 12 images - 5 minute update
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Tropospheric Dust Content - RGB for identifying tropospheric dust - 20 Apr 2025 - 2106 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 20 Apr 2025 - 2111 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 20 Apr 2025 - 2116 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 20 Apr 2025 - 2121 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 20 Apr 2025 - 2126 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 20 Apr 2025 - 2131 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 20 Apr 2025 - 2136 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 20 Apr 2025 - 2141 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 20 Apr 2025 - 2146 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 20 Apr 2025 - 2151 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 20 Apr 2025 - 2156 UTC
Tropospheric Dust Content - RGB for identifying tropospheric dust - 20 Apr 2025 - 2201 UTC
Dust RGB key:
1 - Dust plume, day (bright magenta, pink) Note: Dust at night becomes purple shades below 3 km
2 - Low, water cloud (light purple)
3 - Desert surface, day (light blue)
4 - Mid, thick clouds (tan shades)
5 - Mid, thin cloud (green)
6 - Cold, thick clouds (red)
7 - High, thin ice clouds (black)
8 - Very thin clouds, over warm surface (blue)
Dust RGB Dust can be hard to see in visible and infrared imagery because it is optically thin, or because it appears similar to other cloud types such as cirrus. The RGB product is able to contrast airborne dust from clouds using band differencing and the IR thermal channel. The IR band differencing allows dust storms to be observed during both daytime and at night.
