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Architecting a High-Demand Image Service for GOES-16
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  • Rafael de Ameller,
  • Tim Loomis,
  • Vivek Goel,
  • Tiffany Small
Rafael de Ameller
IMSG, NOAA NESDIS

Corresponding Author:[email protected]

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Tim Loomis
IMSG, NOAA NESDIS
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Vivek Goel
IMSG, NOAA NESDIS
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Tiffany Small
IMSG, NOAA NESDIS
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Abstract

Traditionally, NOAA NESDIS has distributed GOES imagery as small sector images, usually a jpg or gif. With the launch of GOES-16, NESDIS has embraced a more modern approach to serving this imagery: NOAA Satellite Maps is a geospatial data Map Service to access imagery from the geostationary and polar satellites in our fleet. We support open information sharing and integration through this RESTful Service, which can be used by a multitude of GIS software packages and web map applications (both open and commercially licensed) for free. One of the most important features of the Satellite Maps layers service is the interoperable nature of its data. Users can combine georeferenced data layers from other datasets together with the Satellite Maps data, allowing infinite opportunities for providing meaning and value to NOAA data. For example, GOES East infrared Band 10 data can be combined with Doppler radar data and Lightning data to see how cloud cover and instances of rain align during a critical weather event. In this poster we will discuss the architecture and application development that were used to generate the image services and how the public is accessing and downloading GOES imagery.