1. Tracking the Blue Whales Using ocean color satellite
Pusan National University
Whale Bob
최성진
박영재
박지현
강수경

2. Contents Ocean Color Satellite Sensors Blue Whale01
Contents
Ocean Color Satellite Sensors
Scientific exploitation
Blue Whale
Limitation of Ocean color satellite
Satellite settings
Current tracking methods
Expected effects
Conclusion

3. Ocean Color Satellite Sensors02
Ocean Color Satellite Sensors
SeaWiFS
8 spectral bands(from 412 to 885 nm) with 4km resolution to
MODIS
36 spectral bands(from 412nm to 15 μm) with 250m – 1km resolution
to PRESENT
VIIRS
22 spectral bands(from 370nm to 12.5 μm) with 650m resolution
to PRESENT

4. Scientific exploitation03
Scientific exploitation
South America Redtide( )
Pitcher et al., 2007
El Niño, La Nina( ), SeaWiFS
Credit SeaWiFS Project NASA/GSFCandGeoEye
Coastal water condition monitoring (Redtide, Mangrove)
El Niño, La Nina visualization
Climate change information
CDOM(chromophoric dissolved organic matter)
detect
한반도 남서부연안해역 총 부유퇴적물 농도 분포( )
Landsat, Credit Korea Ocean Satellite Center, KORDI
Viirs도 위와같은 데어터처리과정을 가짐

5. Blue Whale Size : 7~33m Weight : 179t04
Blue Whale
Size : 7~33m
Weight : 179t
Food source : krill (6t in oneday)
Whale water pumping
→ slowing global warming

6. Limitation of Ocean color satellite05
Limitation of Ocean color satellite
Resolution
Spatial resolution range(VIIRS : 650m) → Hard to observe the blue whale
Algorithm
Case 1 waters type : Clear water (like East Sea)
Case 2 waters type : Turbid water (like Yellow Sea)
→ Reduces the accuracy

7. Satellite settings Altitude : 180km Spatial resolution : 7m06
Satellite settings
Altitude : 180km
Spatial resolution : 7m
Period(T) : 1.3시간
Velocity : 7.7kmsec-¹
Swath : km
Temporal resolution : a week
식 넣고 우리 결과값 나타내기

8. Current tracking methods07
Current tracking methods
Satellite tags
Passive acoustics Monitoring
Visual Observations
hppt://SanJuanOrcas.com
Cormell University
Difficult to attach the satellite tag
Poor quality
Can not detect all area

9. Expected effects Spawning ground Individual number of whales08
Expected effects
Spawning ground
Individual number of whales
Prove migration routes related to food source

10. Expected effects High Chlorophyll → High krill level09
Expected effects
High Chlorophyll → High krill level
Distribution of krill is similar to blue whales
Confirming the blue whale 's movement path by chlorophyll concentration
Distribution of chlorophyll concentration and krill
(SeaWiFS image of the Southern Hemisphere, September 1997 to August 1998)

11. Conclusion Find whale position at desired time10
Conclusion
Find whale position at desired time
Prevent whale-ship collision and whales hanging on fishing nets
Predict how the migration path of the whale
Reduce the error range of whale detection
Direct population monitoring

12. THANK YOU
Q&A