- Community Spotlight
- Environmental Resource Assessment & Management
Developing and Managing Lidar Data
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.

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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.…
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…
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…
