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