EARLY HEARING DETECTION AND INTERVENTION VIRTUAL CONFERENCE
MARCH 2-5, 2021
(Virtually the same conference, without elevators, airplane tickets, or hotel room keys)
5/25/2021 | 2:00 PM - 3:30 PM | FROM SATELLITE TO DRONE TO GOPRO: PREDICTING ANNUAL VARIATION OF INLAND LAKE MACROPHYTES | Virtual Platform
FROM SATELLITE TO DRONE TO GOPRO: PREDICTING ANNUAL VARIATION OF INLAND LAKE MACROPHYTES
Macrophyte over-abundance is a serious issue for seasonal, year-round, and Indigenous communities on the semi-regulated Trent-Severn Lakes of southern Ontario. I will illustrate development of a multi-level, causal model designed to predict the annual ups and downs of the "weed" population as quantified by multi-spectral Landsat satellite images. Candidate predictors in the model will include within-lake, time-invariant factors such as depth and fetch, annually varying, among-lake factors including nutrients and water level, and regionally invariant factors such as temperature, precipitation and wind in the previous year. Ground-truthing of the 30x30m grain satellite images will use cm-scale, multi-spectral drone images as well as in-water observations. Ultimately, I will determine the degree to which management actions can influence macrophyte dynamics in this complex, semi-regulated lake system.
- Data science
- Big data
- Models
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Presenters/Authors
Robert Bailey
(), Ontario Tech University, Robert.bailey@ontariotechu.ca;
ASHA DISCLOSURE:
Financial -
Nonfinancial -