Tracking the Blue Whales Using ocean color satellite Pusan National University Whale Bob 201014542 최성진 201314516 박영재 201314520 박지현 201414501 강수경

Contents Ocean Color Satellite Sensors Blue Whale 01 Contents Ocean Color Satellite Sensors Scientific exploitation Blue Whale Limitation of Ocean color satellite Satellite settings Current tracking methods Expected effects Conclusion

Ocean Color Satellite Sensors 02 Ocean Color Satellite Sensors SeaWiFS 8 spectral bands(from 412 to 885 nm) with 4km resolution 1997-09-18 to 2010-12-11 MODIS 36 spectral bands(from 412nm to 15 μm) with 250m – 1km resolution 2002-07-04 to PRESENT VIIRS 22 spectral bands(from 370nm to 12.5 μm) with 650m resolution 2012-01-02 to PRESENT http://www.spaceflightnow.com

Scientific exploitation 03 Scientific exploitation South America Redtide(2007.2.23) Pitcher et al., 2007 El Niño, La Nina(1997-1998), 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(2000.5.7) Landsat, Credit Korea Ocean Satellite Center, KORDI Viirs도 위와같은 데어터처리과정을 가짐

Blue Whale Size : 7~33m Weight : 179t 04 Blue Whale Size : 7~33m Weight : 179t Food source : krill (6t in oneday) Whale water pumping → slowing global warming http://www.itravel-cabo.com

Limitation of Ocean color satellite 05 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

Satellite settings Altitude : 180km Spatial resolution : 7m 06 Satellite settings Altitude : 180km Spatial resolution : 7m Period(T) : 1.3시간 Velocity : 7.7kmsec-¹ Swath : 380.01km Temporal resolution : a week 식 넣고 우리 결과값 나타내기

Current tracking methods 07 Current tracking methods Satellite tags Passive acoustics Monitoring Visual Observations hppt://SanJuanOrcas.com Cormell University http://www.oceanlight.com Difficult to attach the satellite tag Poor quality Can not detect all area

Expected effects Spawning ground Individual number of whales 08 Expected effects Spawning ground Individual number of whales Prove migration routes related to food source

Expected effects High Chlorophyll → High krill level 09 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) http://earthobservatory.nasa.gov/Features/Polynyas

Conclusion Find whale position at desired time 10 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

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