Delivering Low Latency VIIRS Data Products using Ground Station Observation Network (GSON) API Service

The NASA Satellite ClOud and Radiation Property retrieval System (SatCORPS) has developed and managed the Ground Station Observation Network (GSON) system that provides access to low latency Visible Infrared Imaging Radiometer Suite (VIIRS) data onboard Suomi National polar-orbiting Partnership (SNPP), Joint Polar Satellite System (JPSS-1), and JPSS-2 satellites. The GSON system can acquire real-time direct broadcast (DB) data from Amazon Ground Stations (AGS) as well as low latency global VIIRS granules from Amazon Open Data NOAA S3 bucket. Using the ground stations as a service (GSaaS) and S3 bucket, GSON can provide subscription service to retrieve and process the VIIRS data seamlessly over specified regions. The GSON processing framework orchestrates the processing and delivery of derived products such as active fires, floods, and cloud products.

We will discuss GSON prediction service API used to make request from Amazon GSaaS or S3 bucket. This service is a serverless development RESTful API routed through the SatCORPS website and exposed through OpenAPI. Interfacing with the Amazon GSaaS, the process detects broadcast satellite passes over an area of interest and uses a prediction service to chart the best matches. Given constraints from the user, the service will then identify potential hazards worldwide, reducing latency for NASA Earth Science products. Users may also dictate a schedule for collecting satellite path data by utilizing the subscription endpoint, which updates nightly in the form of a detailed CSV file. Completed orders are then stored in an Amazon S3 buckets and organized by collection and topic to create a functional dictionary of all the valuable information generated by past requests. The Amazon simple notification service (SNS) triggers the lambda to evaluate the timestamp of the CSV file to obtain any associated satellite details. Product outputs can then be geospatially-service enabled as ArcGIS Image Services and OGC Coverage Services for analysis through an application or standard geospatial software.

In addition, we will discuss recent demonstrations of proof-of-concept operation that addresses natural disaster response by delivering low latency VIIRS active fire and flood products for utilization by wildfire and flooding forecast models. We will also show preliminary work with the use of this capabilities to produce SatCORPS Global Cloud Composite (GCC) for operational needs.