The World’s 1st

Geostationary Ocean Color Imager

Joo-Hyung Ryu Korea Ocean Satellite Center, KORDI

• Launch Date : June 27 2010• Launch Vehicle : Ariane-V (ESA)

– Location : Kourou Space Center, French Guiana

GOCI/COMS Launch Campaign

• COMS– Communication, Ocean & Meteorological Satellite– The first Korean Geostationary multipurpose Satellite – Project : 2003 -

2010

• Payloads & Supporting ministry– Geostationary Ocean Color Imager

(GOCI) /MLTM

– Meteorological Imager

(MI) / (KMA) MEV

– Ka-band Communication / MKE– Main Bus / MEST

Introduction of COMS(=Chollian)

★

GOCI

: Geostationary Ocean Color Imager

★

COMS

: Communication Ocean and Meteorological Satellite

★

It shall be operated in a staring-frame capture mode onboard its COMS.

★

The mission concept includes eight visible-to-near-infrared bands, 500 m spatial resolution, and a coverage region of 2,500*2,500 km centered at Korea.

★

The instrument is expected to provide SeaWiFS quality observations for a single study area with imager frequency of 1 hour from 9 am to 4 pm (8 times a day).

★

GOCI Application : Ocean Color mission + Operational missionharmful algae bloom (HAB), health of marine ecosystem, movement of suspended sediment and current, and to produce marine fisheries information for fishing communities + ocean forecasting (with modeling)

A brief overview of GOCI

GEO

vs. LEOGEO/GOCI LEO/SeaWiFS

Altitude 35,857 km 705 km about 50 times-

far

Sensor typeStaring-frame

capture1-axis scanning

Spatial resolution 500 m 1000 m 4 times better

Spectralrange 400-900 nm 400-900 nm Almost same

Temporal resolution 1 hour 1 day 8 times better

Sun-Satellite position variable stable BRDF

Coverage local global limitation

Bio-opticalalgorithm local global New local

algorithm

GEO is about 50 times farther from the Earth than LEOGEO spatial resolution is 4 times better than that of LEOGEO temporal resolution is 8 times betterTo be considered and prepared sensor type, geometry & local coverage for overcoming GEO characteristics

GOCI

coverage

China(? Billion)

Korea(70 million)

Japan(100 million)

Taiwan

Russia

→

GOCI coverage / Earth surface = 6,250,000 / 520,000,000 km2

= 1.2 %(Considering the geographical size, coverage area is very small)

→

East Asia : South and North Korea, China, Japan, Russia, TaiwanPopulation : large (a heavily populated district)Economy, Commerce : big (container traffic)Defense, Military : importantEnvironments : variable, changeableClimate change : serious

Earth Environment

Climatic Change

Long & Short term

Ocean Environment

Monitoring

Atmosphere & Weather

Land & Disaster Prevention

Military Application

Secret Intelligence Community

Ocean EnvironmentalMonitoring

DisasterMonitoring

GOCI Product

Applications Objects

+ Prediction & Forecast

Cooperation with Others

Prediction & Forecast

Cooperation with Others

Mission of GOCI

Mission of KOSC

GOCIMODIS

EnvisatMERIS

JASON

KOMPSATOSMI, MSC

NOAA

OrbView-2SeaWiFS

•

Technical support and data distribution

•

Motivating ocean color study•

Helping relevant organizations (university, institute)

•

COMS applications using different techniques

•

Algorithm development and analysis

•

SW development

•

Monitoring sensor development•

Involvement in sensor characterization

•

Development plan, budgeting

•

COMS data distribution•

Collaboration study in developing ocean satellite techniques/applications

•

Utilization of other satellite data

• Sensor optic Cal/Val• in situ Cal/Val• inter-satellite Cal/Val

•

Long-term climatic change monitoring and forecast

•

Ocean environment near real-time monitoring

•

Monitoring unusual change of the ocean (global warming, El-Nino, etc)

•

Near real-time on-line distribution of satellite information for universities and industries

•

Ocean information/data distribution

ResearchSupport

Developing Techniques for Ocean

satellite data

Involvement in future ocean

satellites

Ocean environment monitoring

Archive service

International cooperation

Satellite data Cal/Val

KOSC

Data Distribution

GOCI

Status

•

IOT : In-Orbit Test

•

IMPS : IMage Preprocessing System

•

GDPS : GOCI Data Processing System

•

Fully successful launch campaign of GOCI/COMS.•

All functional test for GOCI was successful.

•

GOCI IMPS IOT is on-going.•

After

IMPS IOT, GDPS should be corrected/improved

in some parts.

•

GOCI Level 1B data distribution : end of Jan., 2011.•

GOCI Level 2 data and GDPS distribution : end of Apr., 2011.

GOCI

Data Characteristics

Data Type Related S/W Description size Softwar

e

Distri

-

butio

n

GOCI RAW GDAS & IMPS/DM Received packet data from satellite 769MB IMPS X

GOCI L0 IMPS/DM Slot Image data + Dark Calibration Data 634MB IMPS X

GOCI L1A IMPS/PMM Radiometric corrected data in IRCM 994MB IMPS X

GOCI INRSMinput file IMPS/PMM INRSM input data same as L1A 994MB IMPS X

GOCI INRSMoutput file

IMPS/INRSM INRSM output data. Whole image data with geometric correction

994MB IMPS X

GOCI L1B IMPS/PMM Rearranged whole image data including header information

~994MB IMPS O

GOCI L1Bregion

GDPS/GOCIRegional Data

Generation ModuleL1B subscened data to pre defined regions 994MB~ GDPS O

GOCI L2 GDPS/L2 Generation Module

Bio/physical data applied ocean analysis algorithm

~3500M

B GDPS O

GOCI L2region

GDPS/GOGI Regional Data

Generation Module

L2 subscened data to pre defined regions ~3500M

B GDPS O

GOCI L2 LRIT GDPS/Sample ImageGeneration Module

Three kinds of GOCI small image data for LRIT distribution (CHL, SS,DOM)

10MB GDPS O

GOCI L1B/L2 Browsing

image

GDPS/Browsing ImageGeneration Module

Very small insight image data for searching/browsing L1B/L2 in GDDS

(200x200, 1000x1000)

40KB1MB

GDPS O

**KOSC Data Management System Data Sizeone-time :11.4GB / one-day : 114GB / one-month: 3.4TB / one-year: 41.64T

GDPS : GOCI Data Processing System

In situ measurement were performed

during a lot of cruises in

the Korean

terrestorial seas and neighboring waters through the years 1998-2010 onboard the KORDI research vessel and fisher boats.

GDPS has been developed by KOSC from 2003 to 2009.

GOCI Observation Products

Land

Surface reflectan

ce

•Precise geometric correction

•Atmospheric corrected reflectance

Vegetati on and carbon cycle

•Vegetation index•Above-ground biomass•Vegetation roughness

index•Shadow index•Fraction of Absorbed

Photosynthetically available radiation

•Leaf area index

Applicati on

Land net primary productionWater stress trendFire detection indexLand cover typeLand surface albedo

Atmosphere

Cloud

•Cloud flag/Classification

•Classified cloud fraction

•Cloud top temp/height•Water cloud optical

thickness /effective radius

• Ice cloud optical thickness

Water cloud geometrical thickness

Aerosol

•Aerosol over the ocean •Land aerosol by near

ultra violet •Aerosol by Polarization

Radiation budget

Long-wave radiation flux Short-wave radiation flux

Cryosphere

Area/ distributi

on

•Snow and Ice covered area

•Okhotsk sea-ice distribution

Snow and ice classificationSnow covered area in forest and mountain

Surface propertie

s

•Snow and ice surface Temperature

•Snow grain size of shallow layer

Snow grain size of subsurface layerSnow grain size of top layerSnow and ice albedoSnow impurityIce sheet surface roughness

Boundary Ice sheet boundary monitoring

Common

Radiance •TOA radiance (including system geometric correction)

Ocean

Ocean color

•Normalized water leaving radiance

•Atmospheric correction parameter

•Photosynthetically available radiation

Euphotic zone depth

In-water

•Chlorophyll-a conc.•Suspended solid conc.•Colored dissolved

organic matter

In-water Inherent optical properties

Applicati on

Ocean net primary productivityPhytoplankton functional typeRedtidemulti sensor merged ocean colormulti sensor merged SST

• Radiation budget by the atmosphere-surface system• Carbon cycle in the Land and Ocean Modified from JAXA (Hiroshi Murakami)

Standard & research products

Web Site : http://kosc.kordi.re.kr

General User

Government : Real-time service

Mobile Web

Service contents• GOCI RGB composite image• Ocean environment thematic map (11)• Red tide, Sea fog, Yellow dust, Fire and so on

GOCI Cal/Val

Cal/Val plan

in situ measurementsResearch vessel, Ferrybox(with KORDI), Glider(with KORDI)Buoy, Ocean research station : • To use Korea Operational Oceanography Network(with KORDI)• To cooperate neighboring countries (with Japan, China,

Taiwan)• To join International Group (with IOCCG, OCR-VS, Aeronet-OC)

Inter-satellite Cal. Existing OC : MODIS, MERISHICO (with D. Curtiss)

New systemKite, aerostat, airborne (with KARI)Argo-type buoy

Uniform land Cal/Val siteDesert, Ice, Playa

Ieodo Station(2003)

Gageocho Station (2009)

Yellow Sea Buoy(2007)

East(Japan) Sea Buoy (2009)

Korea Operational Oceanography Network

East(Japan) Sea Station (2012)

Two buoys and two ocean stations have already been constructed by KOON project

Application of GOCI

GOCI Image qualityImage Comparison between GOCI and MODIS Aqua

Yangtze River, China (GOCI, 20100731)R: 660

G: 555 B:490Yangtze River, China (MODIS Aqua, 20100731)

R: 645

G: 555 B:469

GOCI July 13, 2010

Japan

RGB reflectance composite at bands 680, 555, 443 nm (2010/11/10 12:16)Yangtse River -

East China Sea

Detection of changing suspended solid

Southwest ocean of Korea : 16-18 Sep. 2010

2010.2010.

09.09.

16 01:16(UTC)16 01:16(UTC)2010.2010.

09.09.

16 02:16(UTC)16 02:16(UTC)2010.2010.

09.09.

16 03:16(UTC)16 03:16(UTC)2010.2010.

09.09.

18 06:16(UTC)18 06:16(UTC)2010.2010.

09.09.

16 04:16(UTC)16 04:16(UTC)2010.2010.

09.09.

16 05:16(UTC)16 05:16(UTC)2010.2010.

09.09.

16 06:16(UTC)16 06:16(UTC)2010.2010.

09.09.

17 00:16(UTC)17 00:16(UTC)2010.2010.

09.09.

17 01:16(UTC)17 01:16(UTC)2010.2010.

09.09.

17 02:16(UTC)17 02:16(UTC)2010.2010.

09.09.

18 03:16(UTC)18 03:16(UTC)2010.2010.

09.09.

18 04:16(UTC)18 04:16(UTC)2010.2010.

09.09.

18 05:16(UTC)18 05:16(UTC)2010.2010.

09.09.

18 06:16(UTC)18 06:16(UTC)

Process of detection for suspended solid

Level 1B image before atmosphere correction (10/11/2010)

Atmosphere corrected

L2 reflectance RGB-642 composite image

(background: L1b band6)

Distribution image of suspended solid (background: L1b band6)

0 20

SS (g/m3)

Detection chlorophyll and suspended solid

Level 1B image before atmosphere correction (20 Aug 2010)

Distribution image of suspended solid (background: L1b band6)

Distribution image of chlorophyll(background: L1b band6)

0 1chl (mg/m3) 0 10SS (g/m3)

Current Vector

GDPS has a current vector module

Monitoring Sea Ice

2011.2011.

01.01.

03 03:16(UTT)03 03:16(UTT)2011.2011.

01.01.

06 03:16(UTC)06 03:16(UTC)2011.2011.

01.01.

07 03:16(UTC)07 03:16(UTC)2011.2011.

01.01.

11 03:16(UTC)11 03:16(UTC)2011.2011.

01.01.

12 03:16(UTC)12 03:16(UTC)2011.2011.

01.01.

14 03:16(UTC)14 03:16(UTC)2011.2011.

01.01.

15 03:16(UTC)15 03:16(UTC)

-

Acquisition by GOCI from 03 to 15 Jan 2011

-

As temperature dropping, area of sea ice widen and sea ice thicken

Monitoring forest fire2010.2010.

12.12.

03 02:16(UTC)03 02:16(UTC)2010.2010.

12.12.

03 03:16(UTC)03 03:16(UTC)2010.2010.

12.12.

03 05:16(UTC)03 05:16(UTC)2010.2010.

12.12.

03 05:16(UTC)03 05:16(UTC)2010.2010.

12.12.

03 06:16(UTC)03 06:16(UTC)

-

Acquisition by GOCI 03 Dec 2010

-

Focus on Samcheok-si in Gangwon-do, Korea

Monitoring VolcanoGOCI (00: 16 UTC 04 Dec. 2010)GOCI (00: 16 UTC 04 Dec. 2010)GOCI (01: 16 UTC 04 Dec. 2010)GOCI (01: 16 UTC 04 Dec. 2010)GOCI (02: 16 UTC 04 Dec. 2010)GOCI (02: 16 UTC 04 Dec. 2010)GOCI (03: 16 UTC 04 Dec. 2010)GOCI (03: 16 UTC 04 Dec. 2010)GOCI (04: 16 UTC 04 Dec. 2010)GOCI (04: 16 UTC 04 Dec. 2010)GOCI (05: 16 UTC 04 Dec. 2010)GOCI (05: 16 UTC 04 Dec. 2010)GOCI (06: 16 UTC 04 Dec. 2010)GOCI (06: 16 UTC 04 Dec. 2010)

ⓒ

Martin Rietze ,2010.12.24

-

Acquisition by GOCI for 04 Dec 2010

-

Focus on Sakurajima Valcano in Kagoshima, Japan

Monitoring Typhoon

-

The typhoon of KOMPASU hitting Korea

(01 Sep 2010)

Heavy Snow

Korea07 Jan 2010, 02:16 UTC

Northern hokkaido, Japan02 Dec 2010, 03:16 UTC

11 Nov 2010, 00:16 UTC

Monitoring Yellow Dust

-

Yellow dust over the China before hitting Korea (Nov. 11, 2010)

15 Sep 2010, 00:16 UTC 22 Sep 2010, 01:16 UTC

Mt. Baekdu in North Korea

-

The image show before coming snow and after over Mt. Baekdu in North Korea

Artillery attack against the South Korean island of Yeonpyeong

23 Nov 2010, 05:30 UTC 23 Nov 2010, 06:30 UCT

North Korea have attacked the Yeonpyeong island of South Korea at Nov.23, 2010

GOCI is the CCTV of East Asia

Satellite + Modeling

GOCI data Model simulation

Operational Oceanography

GOCI can be applied to the ocean forecast and warning combined with in situ and modeling data

RealReal--time in situ + time in situ + satellitesatellite

Ocean forecast and warming

Modeling

GOCI-II : next generation 2011-2017

GOCI lifetime is 7 yearsGOCI-II needs 7 years

GOCI-II Mission

• Succession and expansion of the GOCI missions

• Global Area (Full Disk)– Establishment of Ocean Observation System to monitor long-term climate

changeEvaluation of the Primary Productivity in Ocean -> CO2 absorption capability of Ocean -> Estimating ‘global warming’

- Ocean Environment Monitoring Variation of eco-system

• Local Area– Environment Monitoring for the efficient management of coastal waters

Fresh water/Polluting material drifts & spreads, Pollution of coastal waters – Production of fishing ground environment information

Searching fishing ground, Monitoring of aquaculture environment in coastal waters

• C ommon– For reducing the damage by disaster and catastrophe in Ocean, real time

ocean environment monitoring Spreads of red tide, Monitoring of oil spill & tidal wave

GOCI-II User Requirments

• Comparison with GOCI

GOCI GOCI-II

Orbit type GEO GEO

# of Bands 8 13

Spatial Resolution

500m x 500m 250m x 250m1km x 1km

Coverage Local Area (2500km x 2500km)

Local Area (1800km x 1800km,

selectable)Full disk

SNR ~1000 ~ 1500

Temporal Resolution

1 Hour 1 Hour

GOCI-II User Requirments

• Key Requirements– Spectral Band : 13 bands (cf. GOCI = 8

Bands)– Resolution(GSD) : < 250m (cf. GOCI = 500m)– Temporal Resolution : 1 hour, 8 times per day.– Observation Coverage

• Local Area(ex. Special Event Area) – GSD: ~250m• Full Disk Coverage - GSD: ~1000m

– Nighttime Observation (like DNB in VIIRS)• Additional Panchromatic Filter

– Panchromatic Filter (400~900nm)– Dedicated Low Noise Detector for Nighttime Observation

– Additional Requirements for IR Bands (MWIR & LWIR)

International Cooperation

GOCI Data Support

GOCI PI Workshop2010’ Korea-Japan Workshop on Ocean Color IOCCG

Meeting

PML

CNES

Cooperation Development of Ocean Satellite

NASA(USA)

• The science team, including international participation, has been organized in Oct 2008  (36 Principal Investigators including  from US, France, Japan, and China). 

• Algorithm development, in‐situ data acquisition, and application research are conducte d by collaboration among KORDI/KOSC and the PI members

Principal Investigators of GOCI

Area PI name Organization

Land

Y. Honda (land reflectance val) Chiba Univ.K. Nasahara (NPP, LAI, Flux..) Tsukuba Univ.K. Kajiwara (biomass by BRF) Chiba Univ.Q-X. Wang (evapotranspiration) NIESA. Ono (water stress, shadow index) JAXA/EORCS. Furuumi (UPDM index) Narasaho collegeK. Fukue (land cover) Tokai Univ.N. Soyama (land cover) Tenri Univ.M. Moriyama (LST, fire detection) Nagasaki Univ.M. Tasumi (crop coefficient) Miyazaki Univ.K. Ichii (model) Fukushima Univ.T. Kaneko (volcano) Tokyo Univ. ERIR. Suzuki (LAI, time series) JAMSTECA. Huete (vegetation index) Sydney Univ.T. Miura (vegetation time series) University of Hawaii at Manoa M. Takagi (local land cover, GCP) Kochi Univ. of TechnologyK. Mabuchi (model) Meteorological Research InstituteK. Nakau (fire detect., burned area) JAXA/EORC

No. name1 Trevor Platt Belford Institute of Oceanography Canada2 Anne Lifermann Centre National d'Etudes Spatiales (CNES) France

3 André

Morel CNRS-LOV (The Centre National de la Recherche Scientifique -

Laboratoire d'Océanographie de Villefranche)

France

4 Annick Bricaud CNRS-LOV France5 David Doxaran CNRS-LOV France6 David ANTOINE CNRS-LOV France7 Mervyn J Lynch Curtin University of Technology Australia8 Tingwei CUI First Institute of Oceanography, State Oceanic Administration of China China9 Roland Doerffer GKSS Forschungszentrum Germany10 P. Shanmugam Indian Institute of Technology (IIT) Madras India11 Aneesh A. Lotliker, Indian National Centre for Ocean Information Services (INCOIS) India12 J.F. Berthon Institute for Environment and Sustainability Italy13 Sei-Ichi Saitoh Hokkaido University Japan14 Kevin Ruddick Management Unit of the North Sea Mathematical Models (MUMM) Belgium15 ZhongPing Lee Mississippi State University USA16 Joji Ishizaka Nagasaki University Japan17 Ronghua Ma Nanjing Institute of Geography and Limnology, Chinese Academy of

Sciences China18 Robert J. Frouin NASA/Mission to Planet Earth Science Div. USA19 Antonio Mannino NASA/Goddard Space Flight Center USA20 Lin, Tang-Huang National Central University Taiwan21 Liew Soo Chin National University of Singapore Singapore22 Paul E. Lyon Naval Research Laboratory USA23 Are Folkestad Norwegian Institute for Water Research (NIVA) Norway23 Tinglu Zhang Ocean Remote Sensing Institute, Ocean University of China China24 Stewart Bernard Oceanography Department University of Cape town South Africa25 Curtis DAVIS Oregon State University USA26 Oleg Kopelevich P. P.Shirshov Institute of Oceanology Russia

27Lydwine Gross-

ColzyCapgemini Space Unit France

28 Mati Kahru Scripps Institution of Oceanography USA

29 PAN DeluSecond Institute of Oceanography (SOA)/Qiankun Key Labroraory of

Ocean Dynamic Processes and Satellite Oceanography

China

30 He Xiangqiang Second Institute of Oceanography (SOA) China31 SHEN Fang State Key Laboratory of Estuarine and Coastal Research, East China Normal University China

32Hiroshi

KOBAYASHIUniversity of Yamanashi Japan

33Pierre-Yves Deschamps

Universite de Lille France

34 Mary Jane Perry University of Maine USA35 James Yoder University of Rhode Island USA36 Shaoling Shang Xiamen University China

Korea, Japan, China, Russia

Cooperation with public concerns in GOCI coverageSupport of satellite data for overcoming the disaster Joint Research for GOCI Cal/Val

POGO in GOCI coverage

USA, Chile, UK, Canada, Brazil, Netherlands, IndonesiaItaly, France, Norway, Germany, Bermuda, South AfricaJoint research for ocean observation satellite Algorithm development for marine and climate changeDevelop next generation GOCI

POGO out of GOCI coverage

Concluding Remarks

Thank you