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 |
|
5 |
|
https://seabass.gsfc.nasa.gov/experiment/Chesapeake_Bay_Water_Quality/ |
|
5 |
|
https://seabass.gsfc.nasa.gov%2Fexperiment%2FChesapeake_Bay_Water_Quality%2F |
|
0 |
The metadata's original source. |
https://cmr.earthdata.nasa.gov/search/concepts/C2561597303-OB_DAAC.iso19115 |
Tags
- earth-science-ocean-chemistry-oceans
- earth-science-salinity-density-oceans
- earth-science-ocean-temperature-oceans
- earth-science-ocean-optics-oceans