Chesapeake Bay Water Quality Data for Shellfish Bed Monitoring

NASA field and lab data from the Chesapeake Bay measures biological, chemical, and physical variables to identify poor water quality leading to shellfish bed closures. The project integrates in-situ sampling with remotely sensed hyperspectral data to develop AI models for water quality detection. The dataset is maintained by the National Aeronautics and Space Administration, with a last recorded update in March 2026.

Use Cases

• Training AI models to correlate hyperspectral proxies with in-situ pollutant measurements.
• Identifying spatial areas of poor water quality that correlate with shellfish bed closure events.
• Analyzing covarying biological, chemical, and physical variables from field and lab samples.
• Integrating field-sampled data with remotely sensed imagery for comprehensive water quality assessment.

Strengths

• Data collection covers multiple variable types: biological, chemical, and physical.
• Project integrates in-situ field sampling with remote sensing for validation.
• Dataset is produced and maintained by the National Aeronautics and Space Administration.

Limitations

• Core dataset details like row count, column names, and specific license terms are unavailable across all platforms.
• The temporal range of the collected data and the specific AI model methodology are not described.

Provenance

Source

National Aeronautics and Space Administration

Collection Method

Field sampling and lab analysis of water variables combined with remotely sensed data collection.

Time Range

null

Freshness

2026-03-12 21:12:52.184428

Geography

Chesapeake Bay