For over five years CSS employee owners have supported NOAA’s Digital Coast data development and management, training development and delivery, and tool development and management through our subcontract with Lynker Technologies supporting NOAA’s Office for Coastal Management. As part of this effort, CSS employee owners process lidar data from many sources to make it available for custom and bulk downloads from the NOAA Data Access Viewer. This involves ensuring data quality and consistency and preparing the data for dissemination. The end goal is to provide elevation data users with the data they need to make the best decisions for coastal mapping and management efforts.

Graphic shows a flat surface next to a steep incline. A suspension bridge  reaches over the flat surface
High resolution lidar data provides enough detail to show specific and identifiable features and landmarks, like the Golden Gate Bridge.

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Aerial view of a burned facility surrounded by a woods

Responding to Tangipahoa River Contamination 

Following a fire at Smitty’s Supply facility in Louisiana’s Tangipahoa Parish on August 24, 2025, CSS employee owners supporting the Environmental Protection Agency’s Scientific Technical and Assessment for Consequence Management (STACM) contract deployed to the scene on August 31 to assist with response efforts. Initially staff worked on logistics at the staging warehouse. After a…

Artist rendering of NOAA satellite in orbit

Engaging in New and Emergent Satellite Technologies 

CSS employee owners (formerly Riverside employees) support the National Oceanic and Atmospheric Administration’s (NOAA) National Environmental Satellite, Data, and Information Service’s (NESDIS) Center for Satellite Applications and Research (STAR). STAR is the science arm of NESDIS, which acquires and manages the nation’s environmental satellites for NOAA. Satellite observations are critical to informing situational awareness and…

Global map shows colors of red around the equator which slowly change to dark greens near north and south poles.

Advancing Severe Weather Predictions with Artificial Intelligence 

As artificial intelligence (AI) and machine learning (ML) technologies evolve in Earth sciences, CSS employee owners (formerly Riverside staff) are growing our expertise in this field. CSS employee owners are advancing technologies for our client, NOAA’s Center for Satellite Applications and Research (STAR). Our staff have developed a framework, exploiting modern AI/ML techniques, to rapidly…