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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

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slide1
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
Contents
  • Background
  • Objectives
  • ubiquitous Information System
  • Overview of Information Transfer
  • Hierarchical Product Structure
  • WebGIS and Onboard GIS
  • Concluding Remarks
slide3
Fisheries as Social Systems

○△魚市場

特売

ウニ

スーパー○△

RS/GIS

logistics

Fishing

Fish Market

Retail

Stock Release

Aquaculture

Sustainability

Sea Ranching

Consumer

fisheries gis
Fisheries-GIS
  • 4-D (x,y,z,t) Geographical Information System
  • Dynamic Information of Oceanic Features
objectives
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

fisheries information system
Fisheries Information System

WebGIS

OnboardGIS

ArcIMS

GeoBase

L&X-band

Satellite Receiving Module

NOAA・Aqua/Terra

SST

Chl

Sea Ice

Real time and

automatic processing

TeraScan

Datebase Module

Oracle

GIS Module

Analysis Module

  • Calculate
  • Overlay
  • raster to vector
  • ERDAS/Imagine
  • ArcIGIS

Internet

Clients

Satellite

Communication

characteristics
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
Overview of Information Transfer

Communication satellite

MODIS Database Analysis

WIDE-STAR(64Kbps)

SUPERBIRD(6Mbps)

J-SAT(3Mbps)

GPS

Display

Overlay

Measure

Internet

WebGIS(Land)

Onboard GIS

(Offshore)

satellite communication
Satellite Communication
  • SUPERBIRD-D 110 E Coverage
target species
Target Species
  • Japanese common Squid (Todarodes pacificus)
  • Pacific Saury (Cololabis saira)
  • Albacore (Thunnus alalunga)
  • Skipjack (Katsuwonus Pelamis)
slide11
Squid

Pacific saury

Fishing fleets detected by OLS/DMSP

October 13, 1998

distribution and migration
Distribution and Migration

Bering Sea

Okhotsk Sea

Sea of Japan

Northwestern Pacific

Squid

Skipjack

saury

Albacore

service regions
Service Regions

Squid

Albacore

saury

slide14
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
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
How to make potential fishing ground

Oyashio

Japan

Subarctic Front

Shatsky Rise

Emperor

Seamount

Chain

Kuroshio Extension

Kuroshio

Subtropical Front

Questions of interest:

Why albacore – abundant

What oceanographic factors – habitat

How to determine – proxy indicators

Albacore tuna

(Thunnus alalunga)

(www.ncfisheries.net/fishes/)

how to make potential fishing ground1
How to make potential fishing ground

JAFIC

DATA BASE

NASA,RSS

and AVISO

Satellite RS

Fisheries

Monthly 1998-2003

TRMM/TMI-AVHRR

SST

Classified

fishing data

High catch data

SeaWiFS

SSC

ArcGIS

Simple prediction

habitat

Enhancement

Visualization

T/P-ERS Merged

SSHA

Spatial

analyst

Probability of

environmental map

Examination

Visualization

Statistical model

for prediction CPUE

GAM-GLM

Geostatistical

analyst

Oceanic features:

eddies,fronts

Potential albacore

habitat

method 1 simple prediction map
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
Method 2 : Environmental probability map

Input map

Fishing effort

CPUE

SSHA

+

Chl-a

+

SST

+

ArcGIS: Spatial analyst

Prob. Each interval

Prob. Each interval

Average

1.Fishing efforts : indices of fish

availability (Andrade & Garcia, 1999)

2.CPUEs: indices of fish abundance

(Bertrand et al., 2002)

Output map

method 3 statistical model for prediction
Method 3 : Statistical model for prediction

Input map

Satellite data

Catch data

SSHA

GAM

Piecewise GLM

Chl-a

  • Stepwise GLM
  • Residual deviance
  • AIC
  • F-statistic

SST

ArcGIS: Geostatistical

analyst

Significant equation

Output map

slide21
Space Fish LLP

(Limited Liability Partnership)

SpaceFish

SpaceFish LLP was estabulished on June 20, 2006

slide22
TOREDAS: start to fish

Traceable

Operational

Resources

Environment

Data

Acquisition

System

overview of information transfer1
Overview of Information Transfer

Communication satellite

MODIS Database Analysis

WIDE-STAR(64Kbps)

SUPERBIRD(6Mbps)

J-SAT(3Mbps)

GPS

Display

Overlay

Measure

Internet

WebTOREDAS(Land)

Onboard TOREDAS

(Offshore)

overview of information transfer2
Overview of Information Transfer

Communication satellite

MODIS Database Analysis

WIDE-STAR(64Kbps)

SUPERBIRD(6Mbps)

J-SAT(3Mbps)

GPS

Display

Overlay

Measure

Internet

WebTOREDAS(Land)

Onboard TOREDAS

(Offshore)

slide28
Notebook PC

Receiver

slide31
Panasonic - Tough Book

For Fishermen

  • Hard Duty
  • Touch Panel
  • Protect water
slide32
A: clear, B: distance measurements,

C: trip history, D: search the nearest predicted fishing

ground, E: change menu.

slide33
A B C D E

A: clear

B: distance measurements

C: trip history

D: search the nearest predicted fishing ground

E: change menu.

operational fisheries oceanography
Operational Fisheries Oceanography

Research and

Development

-Models

-Technology

(Observing/sampling)

-Raw data

-Statistics

-etc

  • Operational Fisheries Oceanography
  • Measurements: systematic, long-term, routine
  • Interpretation of data: fast(near real-time)
  • Dissemination of results: rapid, e.g. internet

-Funding

-Data

-Application

-Products

USERS

Governments, Regulatory Authorities,

Commercial Enterprises, Research Institutes

concluding remarks
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)

future
Future

Satellite

MODIS

Database

Fishing fleet

TOREDASnever sleep 24 hours/365 days

future system
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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