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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Entrance to an abandoned mine in a hillside

Assessing Contamination in Abandoned Mines

CSS supports the Environmental Protection Agency with assessing contamination within abandoned mines. There are thousands of abandoned mines throughout the western United States. Many of these mines are leaching heavy metals into nearby streams or have contaminated soils causing vegetation die off.   CSS employee owners conduct field work to assess the extent of this contamination.…

Map of Mississippi River Basin showing major contributing rivers.

Supporting the Mississippi River Basin Drought and Water Dashboard Development 

Congratulations to NOAA’s National Integrated Drought Information System (NIDIS) on the launch of the Mississippi River Basin Drought and Water Dashboard. This dashboard provides crucial, timely information to support decision-making for those living and working in the basin, which spans 31 states and 40 percent of the contiguous U.S. The team created the dashboard to…

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…