Environmental Analytics


Data science is an inter-disciplinary field that uses scientific methods, processes, and algorithms to extract knowledge and insights from data - solutions made simpler.

Sediment contamination often reflects a complex timeline of waste management practices, environmental releases, and variability in fate and transport properties throughout a watershed. We utilize a variety of methods to characterize both the timing and relative contributions of different sources to an area of concern. GSI’s scientists have extensive experience applying chemical fingerprinting methods and specialized statistical analysis approaches for pattern recognition of chemical profiles and source apportionment.

Related practice areas include:


Ferries for Science


Washington state has the largest ferry fleet in the U.S. (3rd largest fleet in the world). By outfitting the ferries with systems that uptake a continuous flow of surface water as they transit with sensors the ferries can make measurements at key constriction points to help understand overall water quality and improve performance of numerical models for the Puget Sound. This provides a cost-effective data collection method along an 80 mile transect along the main axis of Puget Sound at a 100 m spatial resolution and collected 1-2 times daily (year-round). The current iteration of this project is focused on collected surface water temperature as this is a key parameter for understanding mixing of thermally distinct water masses, has biological and physiological implications for some sensitive and key species (e.g., kelp, HABs and risk of toxin production), and provides ground truth information for coincident satellite data.

Phenocam for wild-fire recovery monitoring – development of an integrated sensor network

Bitterbrush Site, Washington

Advances in remote sensing technologies provide unique opportunities to understand long-term impacts of wildfires on ecosystem dynamics. GSI is developing a cost-effective, integrated sensor network to provide continuous measurements of key environmental metrics to help understand how different landscapes recover after wildfires. We are developing and testing a customized monitoring system on a 60-acre site in eastern WA that burned during the 2014 Carlton Complex Wildfire. In September 2020, GSI installed a PhenoCam to remotely monitor the site and evaluate seasonal and year-to-year changes. On-site time-lapse imagery provides continuous monitoring across sites at spatial and temporal resolutions that are difficult to achieve with traditional satellite platforms or even aerial drone surveys. In 2021 GSI will be integrating additional long-term measurements that will include data derived from acoustic recordings, and sensor data from weather monitoring stations. Stay tuned!

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