Supporting Shellfish Aquaculture in the Chesapeake Bay using Artificial Intelligence to Detect Poor Water Quality through Sampling and Remote Sensing

Description

This use-inspired NASA AIST project collects biological, chemical, and physical variables in and above the water at Chesapeake Bay sites for analysis within the lab. These ground-truth data are then used for data labeling, in combination with remotely sensed data, within a machine learning model trained to identify water quality challenges of resource managers that could result in shellfish bed closures, for example.

Resources

Name Format Description Link
21 Search results for publications that cite this dataset by its DOI. https://scholar.google.com/scholar?q=10.5067%2FSeaBASS%2FCHESAPEAKE_BAY_WATER_QUALITY%2FDATA001
21 Detailed information about the SeaBASS Experiment such as cruises, funding, and investigators https://seabass.gsfc.nasa.gov/experiment/Chesapeake_Bay_Water_Quality/

Tags

  • salinity-density
  • oceans
  • ocean-temperature
  • ocean-optics
  • ocean-chemistry
  • earth-science

Topics

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