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SSaitoh-APAN20060717-Singapore

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SSaitoh-APAN20060717-Singapore Powered By Docstoc
					          22nd APAN Meeting in Singapore
  National University of Singapore, July 17-21, 2006


   Operational Fisheries
   Application of RS/GIS
          in Japan

Sei-Ichi SAITOH*, Hidetada KIYOFUJI*, Daichi
   TACHIKAWA**, Mihoko ABE**, Kazuhiko
     TATEYAMA** and Motoki HIRAKI***
 *     Hokkaido University
 ** FUJITSU Hokkaido Systems Limited
 *** GIS Hokkaido Limited
           Contents

• Background
• Objectives
• ubiquitous Information System
•   Overview of Information Transfer
•   Hierarchical Product Structure
•   WebGIS and Onboard GIS
•   Concluding Remarks
  Fisheries as Social Systems
      RS/GIS                      logistics
Fishing

                  Fish Market



Stock Release                 Retail

                Aquaculture

Sea Ranching    Sustainability
                                   Consumer
             Fisheries-GIS
• 4-D (x,y,z,t) Geographical Information System
• Dynamic Information of Oceanic Features
               Objectives
For sustainable use and fisheries management……
 • To develop fisheries information system

 • To produce high value-added fisheries
   oceanographic information

 • To provide such information in near real
   time in anytime and at anywhere
   (Ubiquitous)

                 …..using remote sensing and GIS
       Fisheries Information System
L&X-band
               Satellite Receiving Module
                    NOAA・Aqua/Terra       SST
Real time and                    TeraScan Chl
automatic processing                      Sea Ice

                       Datebase Module
                            Oracle


  Analysis Module              GIS Module
  • Calculate
                           WebGIS          OnboardGIS
  • Overlay
                            ArcIMS          GeoBase
  • raster to vector
  ERDAS/Imagine
  ArcIGIS                       Internet

                               Clients             Satellite
                                                   Communication
            Characteristics
For sustainable use and fisheries management……
 • WebGIS(ArcIMS) and Onboard GIS
   (GEOBASE)
 • Ubiquitous information system using satellite
   communication (WIDE-STAR and SUPERBIRD)
 • High value-added fisheries oceanographic
   information (Hierarchical Structure)
 • Near real time with automatic data processing
   (ERDAS/Imagine and ArcGIS) and data base
   management system (ORACLE)

                 …..using remote sensing and GIS
  Overview of Information Transfer
                          Communication satellite


MODIS Database Analysis
                             WIDE-
                             STAR(64Kbps)
                             SUPERBIRD(6Mbps)
                             J-SAT(3Mbps)           GPS
                                                    Display
         Internet                                   Overlay
                                                    Measure


                    WebGIS(Land)

                                               Onboard GIS
                                               (Offshore)
 Satellite Communication
• SUPERBIRD-D 110 E Coverage
                  Target Species


• Japanese common Squid (Todarodes pacificus)

•   Pacific Saury (Cololabis saira)

•   Albacore (Thunnus alalunga)

•   Skipjack (Katsuwonus Pelamis)
Fishing fleets detected by OLS/DMSP



          Squid




                             Pacific saury




                     October 13, 1998
Distribution and Migration

                                        Bering Sea
                   Okhotsk Sea




Sea of Japan                Northwestern Pacific

      Squid
                         Skipjack


               saury
                                    Albacore
Service Regions



  Squid

                  Albacore



          saury
            Hierarchical Structure




Level 1 Product
   Processing

Level 2 Product
   Combination

Level 3 Product
   Integration
Level 4 Product
   Potential Fishing Ground
Brief descriptions of each product level

      Product level and Product description
      1 Raster-image data from the Terascan
        system
      2 Single-image processing such as SST
        gradient or contour line
      3 Integration of Level 1 and Level 2 products
      4 Estimated potential fishing ground
      5 Predicted one- or two-days-forward fishing
        ground
How to make potential fishing ground
                                     Questions of interest:
                                     Why albacore – abundant
   Albacore tuna                     What oceanographic factors – habitat
 (Thunnus alalunga)                  How to determine – proxy indicators
 (www.ncfisheries.net/fishes/)




            Japan          Oyashio      Subarctic Front
                                     Shatsky Rise            Emperor
                                                             Seamount
                                                             Chain
             Kuroshio                Kuroshio
                                     Extension
                                                 Subtropical Front
How to make potential fishing ground
                       JAFIC          NASA,RSS         Satellite RS
   Fisheries                          and AVISO
                     DATA BASE

                       Monthly 1998-2003
 Classified
fishing data       High catch data                TRMM/TMI-AVHRR
                                                       SST
ArcGIS            Simple prediction
                      habitat                        SeaWiFS
   Enhancement                                         SSC
   Visualization
   Spatial            Probability of              T/P-ERS Merged
   analyst         environmental map                   SSHA
    Examination
    Visualization   Statistical model
   Geostatistical for prediction CPUE
                                         GAM-GLM
   analyst
               Potential albacore                 Oceanic features:
                   habitat                         eddies,fronts
Method 1 : Simple prediction map
          Input map     Combine             High catch range
                                            (mean ± one SD)
  SSHA
                                            13.5 ± 19.16 cm

  Chl-a
                                            0.3 ± 0.11 mg m-3

  SST
                                            19.5 ± 1.52 °C


                  ArcGIS: Spatial analyst




          Output map
     Method 2 : Environmental probability map
                 Input map
                                    Fishing effort       CPUE
         SSHA
                                                     +

         Chl-a
                                                     +
         SST
                                                     +

ArcGIS: Spatial analyst               Prob. Each         Prob. Each
                                       interval           interval
                                               Average
                              1.Fishing efforts : indices of fish
                                availability (Andrade & Garcia, 1999)
                              2.CPUEs: indices of fish abundance
                 Output map      (Bertrand et al., 2002)
Method 3 : Statistical model for prediction
          Input map
  SSHA                                Satellite data      Catch data

                                                    GAM

                                               Piecewise GLM
  Chl-a
                                               Stepwise GLM
                                               -Residual deviance
  SST
                                               -AIC
                                               -F-statistic
                      ArcGIS: Geostatistical
                      analyst
                                               Significant
                                               equation




           Output map
   Space Fish LLP
   (Limited Liability
   Partnership)




                        SpaceFish
SpaceFish LLP was estabulished on June 20, 2006
TOREDAS: start to fish

Traceable
Operational
Resources
Environment
Data
Acquisition
System
  Overview of Information Transfer
                          Communication satellite


MODIS Database Analysis
                             WIDE-
                             STAR(64Kbps)
                             SUPERBIRD(6Mbps)
                             J-SAT(3Mbps)           GPS
                                                    Display
         Internet                                   Overlay
                                                    Measure


                    WebTOREDAS(Land)


                                    Onboard TOREDAS
                                    (Offshore)
Web TOREDAS
Onboard TOREDAS
  Overview of Information Transfer
                          Communication satellite


MODIS Database Analysis
                             WIDE-
                             STAR(64Kbps)
                             SUPERBIRD(6Mbps)
                             J-SAT(3Mbps)           GPS
                                                    Display
         Internet                                   Overlay
                                                    Measure


                    WebTOREDAS(Land)


                                    Onboard TOREDAS
                                    (Offshore)
Antenna for Satellite Communication


                      -Diameter:60cm
                      -Ku band
      Notebook PC
Receiver
Sahara
Panasonic - Tough Book
Panasonic - Tough Book
        For Fishermen




                        -Hard Duty
                        -Touch Panel
                        -Protect water
A: clear, B: distance measurements,
C: trip history, D: search the nearest predicted fis
ground, E: change menu.
    A       B      C         D              E




A: clear
B: distance measurements
C: trip history
D: search the nearest predicted fishing ground
E: change menu.
Web TOREDAS
 Operational Fisheries Oceanography

                        Research and
-Models                                         -Raw data
                        Development
-Technology                                     -Statistics
(Observing/sampling)                            -etc
             Operational Fisheries Oceanography
          -Measurements: systematic, long-term, routine
            -Interpretation of data: fast(near real-time)
           -Dissemination of results: rapid, e.g. internet

        -Products                               -Funding
                                                -Data
                           USERS                -Application
             Governments, Regulatory Authorities,
           Commercial Enterprises, Research Institutes
        Concluding Remarks
For sustainable use and fisheries management……
• Support ubiquitous RS(MODIS)/GIS
  assisted fisheries operation
• Contribute to save energy and fuel for
  optimum fishing activities
• Improve understanding fishing ground
  formation and fish migration
• Promote to develop “Operational” Fisheries
  Oceanography
   This project is supported by Ministry of
   Economy, Trade and Industry (METI)
               Future
   Satellite               MODIS
                Database




                            Fishing fleet

TOREDAS never sleep 24 hours/365 days
       Future System
• VMS (Vessel Management
  System): Operation Management
  and Resource Management
• Safety Operation: Weather and
  Wave Information
• Economic Usage: Fish Market
  Information
• Traceable: Food safety

				
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