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22nd APAN Meeting in SingaporeNational 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
Sea Ranching
Stock Release
Aquaculture
logistics
ウニ
特売
Retail
Fisheries as Social Systems
Fishing
Consumer
Fish Market
RS/GIS
Sustainability
Fisheries-GIS
InteractionAtmosphere and
Ocean Rapid Temporal ChangeHorizontal ChangeVertical Change
Sporadic dataObserved by vessels
Cloud area on satellite image
BiologyFood chain
Complicated Scale/ Plankton,Fish, Fishing ground, Resource.
Plankton
Vertical constructionWater mass distribution
• 4-D (x,y,z,t) Geographical Information System4-D (x,y,z,t) Geographical Information System• Dynamic Information of Oceanic FeaturesDynamic Information of Oceanic Features
Objectives
• 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)
For sustainable use and fisheries management……
…..using remote sensing and GIS
Satellite Receiving ModuleSatellite Receiving ModuleNOAA・ Aqua/Terra
Datebase ModuleOracleOracle
WebGIS
ArcIMSArcIMS
OnboardGIS
GeoBaseGeoBase
Clients
GIS Module
InternetSatelliteCommunication
TeraScanTeraScan
Fisheries Information System
SSTChlSea Ice
Real time andautomatic processing
Analysis Module
• Calculate• Overlay• raster to vectorERDAS/ImagineERDAS/ImagineArcIGISArcIGIS
L&X-band
Characteristics
• WebGIS(ArcIMS) and Onboard GIS (GEOBASE)• Ubiquitous information system using satellite co
mmunication (WIDE-STAR and SUPERBIRD)• High value-added fisheries oceanographic informati
on (Hierarchical Structure)• Near real time with automatic data processing (ERD
AS/Imagine and ArcGIS) and data base management system (ORACLE)
For sustainable use and fisheries management……
…..using remote sensing and GIS
MODIS Database Analysis
Communication satellite
GPSDisplayOverlayMeasure
Internet
WIDE-STAR(64Kbps)SUPERBIRD(6Mbps)J-SAT(3Mbps)
Overview of Information Transfer
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)
October 13, 1998
Squid
Pacific saury
Fishing fleets detected by OLS/DMSP
Distribution and Migration
Okhotsk SeaBering Sea
Northwestern Pacific
SkipjackSquid
sauryAlbacore
Sea of Japan
Service Regions
Squid
saury
Albacore
Level 1 Product Processing
Level 2 Product Combination
Level 3 Product Integration
Level 4 Product Potential Fishing Ground
Hierarchical Structure
Brief descriptions of each product level
Product level and Product description1 Raster-image data from the Terascan system2 Single-image processing such as SST gradient or
contour line3 Integration of Level 1 and Level 2 products4 Estimated potential fishing ground5 Predicted one- or two-days-forward fishing ground
Shatsky Rise
Kuroshio Kuroshio Extension
Oyashio Subarctic Front
Subtropical Front
Japan
Emperor Seamount Chain
(www.ncfisheries.net/fishes/)
Albacore tuna (Thunnus alalunga)
Questions of interest:Why albacore – abundantWhat oceanographic factors – habitatHow to determine – proxy indicators
How to make potential fishing ground
NASA,RSSand AVISO
JAFICDATA BASE
Fisheries Satellite RS
Probability of environmental map
Potential albacorehabitat
Monthly 1998-2003
T/P-ERS MergedSSHA
T/P-ERS MergedSSHA
SeaWiFS SSC
SeaWiFS SSC
TRMM/TMI-AVHRRSST
TRMM/TMI-AVHRRSST
Classifiedfishing data
Simple predictionhabitat
Oceanic features:eddies,fronts
High catch data
Statistical modelfor prediction CPUE
ArcGIS
EnhancementVisualization
ExaminationVisualization
Spatial analyst
Geostatisticalanalyst
GAM-GLM
How to make potential fishing ground
Method 1 : Simple prediction map
SSHA
Chl-a
SST
Output map
High catch range(mean ± one SD)
19.5 ± 1.52 °C
0.3 ± 0.11 mg m-3
13.5 ± 19.16 cm
CombineInput map
ArcGIS: Spatial analyst
Method 2 : Environmental probability map
SSHA
Chl-a
SST
Fishing effort CPUE
Prob. Each interval
Prob. Each interval
+
+
+
Average
Output map
1.Fishing efforts : indices of fish availability (Andrade & Garcia, 1999)2.CPUEs: indices of fish abundance (Bertrand et al., 2002)
Input map
ArcGIS: Spatial analyst
Method 3 : Statistical model for prediction
SSHA
Chl-a
SST
Satellite data Catch data
GAM
Piecewise GLM
Stepwise GLM-Residual deviance-AIC -F-statistic
Significant equation
Output map
Input map
ArcGIS: Geostatistical analyst
Space Fish LLP (Limited Liability Partnership)
SpaceFishSpaceFish LLP was estabulished on June 20, 2006
TOREDAS: start to fish
TraceableOperationalResourcesEnvironmentDataAcquisitionSystem
MODIS Database Analysis
Communication satellite
GPSDisplayOverlayMeasure
Internet
WIDE-STAR(64Kbps)SUPERBIRD(6Mbps)J-SAT(3Mbps)
Overview of Information Transfer
WebTOREDAS(Land)
Onboard TOREDAS (Offshore)
Web TOREDAS
Onboard TOREDAS
MODIS Database Analysis
Communication satellite
GPSDisplayOverlayMeasure
Internet
WIDE-STAR(64Kbps)SUPERBIRD(6Mbps)J-SAT(3Mbps)
Overview of Information Transfer
WebTOREDAS(Land)
Onboard TOREDAS (Offshore)
Antenna for Satellite Communication
-Diameter:60cm-Ku band
Receiver
Notebook PC
Sahara
Panasonic - Tough Book
Panasonic - Tough Book
-Hard Duty-Touch Panel-Protect water
For Fishermen
A: clear, B: distance measurements, C: trip history, D: search the nearest predicted fishingground, E: change menu.
A: clearB: distance measurementsC: trip historyD: search the nearest predicted fishing groundE: change menu.
A B C D E
Web TOREDAS
Operational Fisheries Oceanography
Research and Development
Operational Fisheries Oceanography-Measurements:Measurements: systematic, long-term, routine
-Interpretation of data:Interpretation of data: fast(near real-time)-Dissemination of results:Dissemination of results: rapid, e.g. internet
USERSGovernments, Regulatory Authorities,
Commercial Enterprises, Research Institutes
-Raw data-Statistics-etc
-Models-Technology(Observing/sampling)
-Funding-Data-Application
-Products
Concluding Remarks
• 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
For sustainable use and fisheries management……
This project is supported by Ministry of Economy, Trade and Industry (METI)
Database
MODISSatellite
Fishing fleet
Future
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