1. FISHING LANKA Replication Assistance program Weligama Nenasala & ICT Agency of Sri Lanka

2. SSTC Med. Res. & Overview SST –Single overpass & composite Plankton (Chlorophyll_a) –Single overpass & composite Sea surface height Ocean currents Sub-surface temperature Mixed layer depth Ocean surface winds Bathymetry Weather SST High and Med. Res. What are the data important for fish finding with the help of satellite technology.

3. How do we get data which are important for fish finding. Data from many satellite sensors and models: AVHRR, MODIS, TOPEX, JASON, QuikSCAT, GOES, MODAS Raw data collected at O.I. office and received from various institutions O.I. processes raw data to generate custom analysis –Calibrating, dereferencing, atmospheric correction, compositing, enhancement, compression  post to special web site Boat downloads data files via Internet –Broadband, landline, cell phone & satellite phone

4. HOW WE USE THOSE DATA TO IDENTIFY FISHING AREAS.

5. The Best of Both Worlds Theory Along the coast, it all starts with upwelling and finding convergence zones – deep ‘walls’ of water that separate waters of different types. Find ocean ‘frontal’ or convergence zones that are stable and NOT just surface phenomenon seen only in the SST data. Fish congregate along, stable, deep convergence zones that are near productive, bait-rich waters – again, relating back to the food chain.

6. Finding Stable Convergence Zones - SST Pelagic fish often congregate on the warmer side of an SST gradient. There are all strengths and types of SST edges, but look for other factors such as currents ‘feeding’ an area and how long that SST break has been around.

7. Finding Stable Convergence Zones - SSH Sea surface height anomaly data shows the natural ‘hills’ and ‘valleys’ that occur on a large scale across the ocean. The water flows ‘downhill’ from the high anomalies and ‘uphill’ from the low anomalies creating ocean convergence zones. Fish are found more often than not in the green- yellow neutral areas on the outskirts of high and low SSH anomalies.

8. Finding Stable Convergence Zones - SSH Correlating the outer edges of high and low anomaly locations with where the SST edges can help you find better spots. SSH contour lines can be overlaid on the SST imagery.

9. Finding Stable Convergence Zones – Currents Currents are also important!

10. Finding Stable Convergence Zones – Ocean Color 1 °F SST Contour Lines over plankton data Water color  Chlorophyll_a  Phytoplankton (“Plankton” )  Primary Productivity  Bait fish Look near the edges of chlorophyll (plankton) blooms. If there is a significant green-blue chlorophyll gradient near the same location as a relatively strong SST gradient, this will be an area with higher catch potential.

11. HOW DO WE USE THOSE DATE WITH THE HELP OF A SOFTWARE TO IDENTIFY THE FISHING AREAS EASILY.

15. PROVIDING INFORMATION OF POTENTIAL FISHING ZONES TO FISHING COMMUNITY

16. Fisherman wants to get information of PFZ In a Particular area. Example 7N, 83E

17. Registered fishermen can Go to the website www.fishinglanka.com and log in to the side with their user name and password.

18. FISHING LANKA You can view potential fishing zones in Indian ocean visiting www.fishinglanka.comwww.fishinglanka.com

19. Go to the map window of the site.

21. Click on the area the fisherman wants to get the information Example 7N, 83E

22. Tuna 7.30.00N - 83.50.00E 7.45.00N - 83.42.00E 7.30.00N – 83.25.00E 7.15.50N – 83.28.00E

23. You have to send the longitude and latitude data of PFZ to the mobile phone of fisherman via sms. It is easy to send using PC based software.

24. 7.30.00N-83.50.00E 7.45.00N,83.42.00E 7.30.00N,83.25.00E 0776155087

25. T H A N K Y O U ! Fishing Lanka. Weligama, Nenasala.