Mapping water quality indicators using remote sensing data
| dc.contributor.author | Bygate, Meghan | |
| dc.contributor.author | Ahmed, Mohamed | |
| dc.date.accessioned | 2023-10-05T20:04:11Z | |
| dc.date.available | 2023-10-05T20:04:11Z | |
| dc.date.issued | 2023-08-29 | |
| dc.description | Department of Physical and Environmental Sciences | |
| dc.description.abstract | New approach to oyster conservation, Analyzing water quality of entire bay to pinpoint zones where average conditions are optimal, Mapping Oyster Growth Suitability Index (OGSI), Extract water quality indicators (WQI) from remote sensing images, ECOSTRESS – temperature, Landsat – salinity, turbidity, chlorophyll-a, Machine Learning algorithms required model surface reflectance to WQI data, Project goal: generate Oyster Growth Suitability Index (OGSI) maps using the WQI data extracted from remote sensing images | |
| dc.identifier.uri | https://hdl.handle.net/1969.6/97532 | |
| dc.language.iso | en_US | |
| dc.title | Mapping water quality indicators using remote sensing data | |
| dc.type | Presentation |
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