Lecture Schedule
| Week | Monday | Wednesday | Wednesday Laboratory |
|
1 |
Logistics,Fisheries Acoustics History | Underwater sound, Sonar Hardware | |
| 2 Oct. 1 |
Sonar Equation 1 |
Sonar Equation II |
Sonar Problems |
| 3 Oct. 8 |
Acoustic Signal Processing |
Survey Design |
Survey design, Field Trip Planning |
| 4 Oct. 15 |
Data Processing and Analysis I |
Calibration |
Calibration and Field Trip (Oct. 17) |
| 5 Oct. 22 |
Data Processing and Analysis II |
Sonar Technologies Acoustic Camera Bill Hanot |
Midterm Review Intro to Echoview |
| 6 Oct. 29 |
Midterm (Oct. 29) |
Broadband |
Calibration Analysis |
| 7 Nov. 5 |
Fish as Acoustic Targets | Species Identification | Survey Data Analysis |
| 8 Nov. 12 |
Veteran's Day |
Acoustic Surveys Alex de Robertis |
Acoustic Surveys Alex de Robertis |
| 9 Nov. 19 |
Backscatter Modeling | Forward and Inverse Approaches | Backscatter Modeling |
| 10 Nov. 26 |
Anthropogenic Noise & Marine Mammals | BioAcoustic Predation |
Presentations |
| 11 Dec. 3 |
Acoustic Monitoring | Habitat Classification | Presentations/Tour |
| 12 Dec. 10 |
Review Paper due Dec. 12 |
Lecture Contents
1. History of Sonar
- evolution of fisheries acoustics (hardware and analysis)
2. Underwater Sound, Scientific Echosounders
- acoustic units
- sound transmission through water
- types and components of echosounders
3. Sonar Equation I
- biological approach
4. Sonar Equation II
- physical approach
5. Acoustic Signal Processing
- digital signal processing
- target counting, echo integration
- quantifying acoustic backscatter
6. Survey Design
- components of survey design
- data and variance sources
- nets and acoustics
7. Data Processing and Analysis I
- echosounder outputs
- target classification
- Scrutinizing for quality control and species
8. Data Processing and Analysis II
- data analysis roadmap
- transect data to abundance estimate
- interpolation, extrapolation
9. Calibration
- need for calibration
- calibration methods
10. Sonar technologies
- technological developments
- analytic developments
- alternate platforms: AUVs, cabled observatories
11. Broadband
- principles
- data processing
12. Fish as acoustic targets
- biological and physical factors influencing backscatter
- relative importance of factors
12. Species Identification
- target classification
- acoustic species identification
13. Acoustic Surveys
- acoustic surveys in practice
- uncertainty in acoustic surveys
14. Backscatter Modeling
- history of scattering models
- current zooplankton and fish models
15. Forward and Inverse Approach
- size-based abundance estimate
- algorithm
- choosing frequencies and size classes
16. Anthropogenic Noise and Marine Mammals
- hearing ranges and measurement
- noise sources
- case studies
17. BioAcoustic Predation
- killer whale transmit
- Chinook salmon backscatter
- perception of prey by predator
18. Acoustic Monitoring
- requirements of ocean observing
- use of metrics as indicators
- challenge of scaling up from local to regional domains
19. Habitat Classification
- data acquisition
- data analysis: superised, unsupervised classification
- data validation and uncertainty