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GCOM-C1 (Global Change Observation Mission- Climate 1) Mission/Shikisai

Spacecraft   Launch   Mission Status   Sensor Complement   References

The GCOM-C1 program was approved by Japanese Space Activity Commission in December, 2009.

• The system design and EM design of GCOM-C1 including SGLI started in July 2009

• The SGLI PDR was over in March, 2010. The manufacturing of SGLI EM has been started.

• The CDR (Critical Design Review) of GCOM-C1 satellite system was held in Feb. 2013, and JAXA has started manufacturing the flight model components of GCOM-C1 satellite. 1)

In July 2017, the GCOM-C project received the nickname Shikisai (meaning colors in Japanese). The nickname was chosen by JAXA in a public contest. 2)

The purpose of the GCOM project is the global, long-term observation of the Earth's environment. GCOM is expected to play an important role in monitoring both global water circulation and climate change, and examining the health of Earth from space. 3)

GCOM consists of two satellite series, the GCOM-W and GCOM-C. The GCOM-C, carrying a SGLI (Second generation GLobal Imager), conducts surface and atmospheric measurements related to the carbon cycle and radiation budget, such as clouds, aerosols, ocean color, vegetation, and snow and ice. The GCOM-W, carrying an AMSR2 (Advanced Microwave Scanning Radiometer 2), observes water-related phenomena including precipitation, water vapor, sea surface wind speed, sea surface temperature, soil moisture, and snow depth. Global and long-term observations (10 -15 years) by GCOM will contribute to an understanding of water circulation mechanisms and climate change.

 

Spacecraft:

The GCOM-C1 spacecraft is 3-axis stabilized. Power of > 4.25 kW is provided at EOL (End of Life). The spacecraft on-orbit dimensions are (deployed configuration): 4.6 m (X) x 16.3 m (Y) x 2.8 m (Z).

The spacecraft has a mass of about 2093 kg at launch (dry bus mass of 1374 kg, propellant mass of 176 kg, SGLI mass of 400 kg). The satellite generates power of 4 kW. The design life is 5 years.

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Figure 1: Photo of GCOM-C after completing environmental testing in May 2017 (image credit: JAXA)

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Figure 2: Illustration of the deployed GCOM-C1 spacecraft (image credit: JAXA) 4)

 

Launch: The GCOM-C1 spacecraft was launched on 23 December 2017 (01:26:22 UTC) on an H-IIA vehicle from the Yoshinobu Launch Complex at TNSC (Tanegashima Space Center), Japan. The launch provider was MHI (Mitsubishi Heavy Industries, Ltd). 5) 6) 7)

H-IIA launch vehicle No. 37 incorporates JAXA's newly developed technology to insert GCOM-C1/Shikisai and SLATS/Tsubame into different orbital altitudes, respectively. It will expand opportunities of multiple satellite launch and take full advantage of the capability of H-IIA.

Orbit of GCOM-C1: Sun-synchronous orbit, altitude = 798 km, inclination of 98.6º, LTDN (Local Time on Descending Node) at 10:30 hours.

RF communications: The S-band is used for TT&C data transmission: TT&C data rates at 29.4 kbit/s (USB), 1 Mbit/s (QPSK,) and 1.6 kbit/s in SSA (S-band Single Access). Command data rates: 4 kbit/s (USB), 125 kbit/s (SSA). The payload data downlink in X-band (8105 MHz) with a data rate of 138.76 Mbit/s, modulation = OQPSK (Offset Quadrature Phase Shift Keying). Direct real-time downlink of payload data to receiving stations with agreement.

Real-time observation data over Japan are transmitted by X-band to JAXA's ground stations at Katsuura, or EOC (Earth Observation Center at Hatoyama, Saitama). The received data are distributed immediately after Level-1 data processing.

Global observation data observed by SGLI are transmitted in X-band to KSAT (Kongsberg Satellite Services) Station in Svalbard, Norway together with some HK data. KSAT is the commercial Norwegian company. GCOM-C1 transmits telemetry stored in the onboard recorder at relatively fast data rate of 1Mbit/s to KSAT/Svalbard by S-band/QPSK..

Secondary payload:

• SLATS/Tsubame, a minisatellite of JAXA with a launch mass of 400 kg.

- The launch vehicle will insert the SLATS/Tsubame minisatellite into a lower orbit of ~ 500 km.

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Figure 3: Launch photo of the GCOM-C1/Shikisai mission on an H-IIA vehicle from TNSC, Japan (image credit: MHI/JAXA)

 


 

Mission status:

• August 3, 2018: JAXA has undertaken the initial checkout and calibration (i.e., verification with ground-based data) of GCOM-C1/Shikisai to start the satellite-derived data stream service in December 2018. The operation of the Shikisai satellite has been nominal since the launch on December 23, 2017. On July 25, JAXA started the test stream service measures and has provided Japan Fisheries Information Service Center (JAFIC) with three types of nearly real time data including sea surface temperature. 8)

- Observation images from Shikisai can yield higher resolution images compared with other Earth observation satellites which provide data used for fisheries. Additionally, the satellite's multiple remote sensing, capable of simultaneous observation of ocean color and water temperature, will make the data applicable both to fisheries and marine research. Sea surface temperature in the fishing grounds and other detailed information pertaining to marine environment are expected to advance searching for productive fishing grounds. Data from Shikisai is also expected to enhance the monitoring of coastal environment, making it possible to observe seaweed beds, tidal flats, and algal blooms. It will contribute to the management of coastal marine resources and studies.

- JAFIC will cooperate with JAXA in calibration and verification of the data by supplying on-site surface temperature and other data. The Center will also use the test data distribution to implement the service that provides information with stakeholders such as those engaging in commercial fishing and research institutions. JAXA will use on-site measurements for comparison provided by JAFIC and other sources and continuously ensure the ongoing checkout and calibration of the satellite.

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Figure 4: Boso Peninsula SST (Sea Surface Temperature) and the seine fishing ground as observed by Shikisai. In this image, the coolest waters appear in blue, and the warmest temperatures appear in red. Red circles are fishing spots for Japanese pilchard (Sardinops melanostictus). A band of waters at high temperature (in red) along the Japan current lies on the south of the fishing ground. Warm water (orange to green) veers north, countercurrent, off from the Japan current. Cold water (blue) is distributed along the Kashima coast. This suggests fishing grounds are formed where warm waters move north (image credit: JAXA)

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Figure 5: Chlorophyll concentrations and algal blooms. The lower the chlorophyll concentration the cooler the color, the higher, the warmer. Algal blooms, commonly known as red tide occurred in the red circle, based on data from Kumamoto Prefecture Fisheries Research Center HP. High chlorophyll concentrations are visible on north and south along the inner Ariake Bay toward the offshore Kumamoto prefecture. In Isahara Bay, too, chlorophyll concentrations are high. The circle where algal blooms occurred, caused by diatoms and other organisms, is located where chlorophyll concentrations are also high (image credit: JAXA)

GCOM-C1/Shikisai got into steady state operation from 28 March 2018. 9)

• March 23, 2018 (updated July 3 2018): The SGLI (Second Generation Global Imager) instrument aboard the JAXA satellite Global Change Observation Mission-Climate (GCOM-C) is an optical sensor capable of observations at wavelengths ranging from near ultraviolet to thermal infrared (380 nm to 12 µm). SGLI is optimized for polarimetric performance both front and back at red and near infrared wavelengths. Polarimetric measurement can provide data that helps researchers study the properties of light including the oscillation direction of electromagnetic waves, in addition to the magnitude of light. 10)

- These features are expected to characterize aerosols, particulate matter on Earth's surface more accurately. In the ultraviolet-visible-near infrared spectra, the surface reflectance is lower over land than over ocean. Vegetation and land cover affect the space based measurement, resulting in varied readings. Identifying types of aerosol only at the wavelengths is therefore hampered by difficulties.

- However, in the SGLI wavelength regions, the reflectance of the Earth's land is significantly lower. Compared with unpolarimetry, polarimetry is less susceptible to the glare from sunlight reflecting off Earth's surface in the ultraviolet-visible-near-infrared wavelength range. These factors are thought to improve the accuracy of the measurement, enabling to detect the properties of the tiny particles of the atmosphere and to measure the composition and other details of aerosols.

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Figure 6: Colored image above China captured by GCOM-C on March 23, 2018 (image credit: JAXA)

• January 12, 2018: JAXA has released some sample observation first-light images of Earth acquired with the GCOM-C/Shikisai mission. Evergreen forests are seen in dark green in the true color image and cannot be discriminated, while in the false color image, evergreen forests are clearly visible in bright green colors (Figure 7). On the other hand, small yellow patches are seen in the enlarged false color image in the lower right of Figure 7. These are golf courses covered with faded grasses on winter. 11) 12)

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Figure 7: Left: A true color composite image (reflectances of SGLI VN8, VN5, VN3 channels are assigned to red, green, and blue colors); Center: A false color composite image (reflectances of SGLI VN8, VN11, VN3 channels are assigned to red, green, and blue colors). The images have a resolution of 250 m and were captured over the Kanto area in Japan with SGLI around 10:30 JST on 6 January 2018. Lower Right: detail enlarged composite image (image credit: JAXA/EORC)

- Aerosol images over the Ganges river (Figure 8).

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Figure 8: Left: The image is a true color composite (reflectances of SGLI VN8, VN5, VN3 channels are assigned to red, green, and blue colors);Middle: A near-ultraviolet (NUV) image; Right: Degree of polarization (POL) image. The images were captured over the Ganges river, India with SGLI onboard the SHIKISAI around 11:40 (JST) on 03 January 2018. Dense aerosols are seen around the mouth of Ganges river to coastal ocean in the NUV image. In the DPOL image, the solar light reflected at the ocean surface is seen to be highly polarized. SGLI can observe aerosols over land and ocean using the functions of NUV and polarization observations (image credit: JAXA/EORC)

- GCOM-C/Shikisai images of ocean color around Japan (Figure 9).

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Figure 9: These images are color composite (reflectances of SGLI VN7, VN6, VN4 channels are assigned to red, green, and blue colors) images around the Island of Tsushima (middle) and around the Kanto area (right) observed with SGLI onboard the SHIKISAI around 11:10 (JST) on 01 January 2018. The locations of the images are shown in the left image. SGLI can observe the spatial distribution of ocean colors with the spectral channels of high sensitivity designed for ocean color observation in order to retrieve the concentrations of suspended matter and phytoplankton in water. These observations are useful for fishery prediction and the monitoring of red tide occurrence (image credit: JAXA/EORC)

- GCOM-C/Shikisai images of the Okhotsk Sea Ice, Japan (Figures 10 and 11).

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Figure 10: This image is a true color composite (reflectances of SGLI VN8, VN5, VN3 channels are assigned to red, green, and blue colors) image of 250 m spatial resolution captured over the Okhotsuk Sea and Japan Islands with SGLI onboard the SHIKISAI around 10:20 (JST) on 6 January 2018. Snow, sea ice, and clouds are shown in white. Land and ocean areas are seen in dark brown and blue colors (image credit: JAXA/EORC)

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Figure 11: This image is a false color composite (reflectances of SGLI SW3, VN11, VN8 channels are assigned to red, green, and blue colors) image of 250 m spatial resolution captured over the Okhotsk Sea and Japan islands with SGLI onboard the SHIKISAI around 10:20 (JST) on 6 January 2018. Snow and sea ice are shown in deep blue while water and ice clouds are seen in white and light blue, respectively. Sea ice are formed along the eastern coast of the Eurasia Continents and spreads along the east side of Sakhalin flowing down to the south (image credit: JAXA/EORC)

- The project will continue the initial functional verification (for about three months after launch,) then confirm data accuracy by comparing it with observation data acquired on land, and perform initial calibration and inspection operations including data correction.

• December 24, 2017: JAXA received telemetry data from GCOM-C1 /SHIKISAI and SLATS/TSUBAME, confirming that their satellite attitude control system had transitioned to the steady state. The current status of both satellites is stable. 13)

- Subsequently, the following procedure occurred – power generation that supports the satellites' operation by the deployed solar array wings, ground communications and sound attitude control that maintains those operations. Combined by the completion of the series of other operations, such as powering up of the bus and mission equipment, the satellites have entered the state where they can be sustained in orbit. This concludes their critical operations phase.

- SHIKISAI and TSUBAME will move on to the next operations phase, where the functions of the satellites' onboard apparatus will be examined approximately in the next three-month period.

- JAXA conveys deep appreciation for the support by all for the satellites' launch and tracking.

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Figure 12: Eventual operational orbital altitudes of GCOM-C1 and SLATS (image credit: JAXA)

• The reception of telemetry data from JAXA's SHIKISAI satellite was made at 10:44 a.m. (JST, or 19:44 UTC) at the JAXA Mingenew Station, Australia, confirming SHIKISAI's solar array deployment above Australia. 14)

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Figure 13: Images captured by the Shikisai onboard cameras following solar array deployment. Left: Solar array paddle 1 (+Y side); Right: Solar array paddle 2 (-Y side), image credit: JAXA

 


 

Sensor complement: (SGLI, a single instrument is flown)

SGLI (Second-generation Global Imager):

SGLI is an advanced multi-purpose visible/infrared (VNIR, SWIR, TIR) imager of GLI heritage, flown on ADEOS-II. The objective is to measure ocean color, SST (Sea Surface Temperature), land use and vegetation, snow and ice, clouds, aerosols and water vapor, etc. 15) 16)

• The prime goal of SGLI is to retrieve global aerosol distributions. To achieve this target, SGLI will have 2 polarization channels with 3 directions

• SGLI is mainly focused to land and coastal areas. There are 11 channels with an IFOV of 250 m. GLI on ADEOS-II had only 6 channels of 250 m resolution.

The SGLI assembly features two separate sensors (radiometers) labeled VNIR (Visible Near Infrared) and IRS (Infrared Scanner). Note, the VNIR device is also referred to as VNR in the text.

VNIR is a pushbroom instrument providing 14 channels in the VNIR spectral region (actually also in the UV), 11 channels are termed VNIR-NP (VNIR Non-Polarized), and 2 channels are called VNIR-P (VNIR-Polarized). The VNIR-P channels of the polarimeter provide 3 polarization angles at: 0º, 60º, and 120º.

The VNIR-NP channels are divided into three 24º pushbroom type telescopes configured in the cross-track direction to realize the wide FOV (70º) requirement with wide spectral range (380 nm to 865 nm). Each telescope has refractive telecentric optics and 11 channels CCD on which the '11 channel bandpass filter assembly' is mounted. 17)

To realize the VNIR-P polarization observation, three linear polarization channels (0º, 60º and 120º) are set for two pushbroom telescopes which are dedicated for 670 nm and 865 nm observation. A tilting operation around the Y-axis of ±45º is required for VNIR-P to observe aerosols (scattering angle requirement). The scattering angle observation is calculated using the satellite orbital position, sun and observation target direction. A scattering angle direction between 60º and 120º is required for the aerosol retrieval over the land surface.

IRS is a whiskbroom type scanning radiometer (mechanical method) covering the SWIR (Shortwave Infrared) and TIR (Thermal Infrared) spectral regions.

SGLI has a capability of simultaneous nadir and slant observations. In addition, the sensor has a capability of along-track multiangle observation. A chance of multi-angle observations on forest areas with less cloud influence will increase comparisons with cross- track observations. In the GCOM –C1 project, global AGB (Above Ground Biomass) data will be provided as a standard product that is estimated by taking advantage of the multiangle observation capability.

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Figure 14: Schematic view of the SGLI instruments (image credit: JAXA)

The key VNIR observation channels such as 670 nm and 865 nm are being observed with both low and high dynamic range independently according to the requirements (Table 2). The total spectral channels for SGLI are optimized to 19 channels including tilting polarization observation (there were 36 channels for GLI instrument). On the other hand, the SGLI standard products are increased from 22 products of GLI to 29 products.

The basic IFOV (Instantaneous Field of View) is set to 250 m - compared to GLI's 1 km requirement. Using this higher resolution with a wide FOV (1150 km for VNR and 1400 km for IRS), it is expected that the human activity influence on Earth's environment can be studied.

Scanning method

- Pushbroom scanning in the VNIR spectral region

- Whiskbroom scanning in the SWIR and TIR spectral region

Observation channels

- 11 channels in VNIR-NP (non polarized) from 380-865 nm
- 2 channels in VNIR-P (polarized)
- 4 channels in SWIR
- 2 channels in TIR

Swath width

- 1150 km (for all VNIR channels)
- 1400 km (for all SWIR and TIR channels)

FOV

- 70º for VNIR-NP pushbroom scanning
- 55º for VNIR-P pushbroom scanning
- 80º for SWIR/TIR for whiskbroom scanning (rotating mirror)

IFOV (Instantaneous Field of View)

- 250 m for all VNIR channels except VNIR9 (1000 m)
- 500 m for the TIR channels
- 1000 m for the SWIR channels except SWIR3 (250 m)
- 1000 m for the polarized VNIR channels

Data quantization

12 bit

Polarization

3 polarization angles for VNIR-P

Observation direction

Along-track 0º, 45º and -45º for P
Nadir for VNIR, SWIR and TIR

Absolute calibration accuracy

VNR: ≤ 3%
SWIR: ≤ 5%
TIR: ≤ 0.5 K

Table 1: Key parameters of the SGLI instrument

Channel

Center wavelength λ (nm)

Δλ (nm)

IFOV (m)
at nadir

Lλ (standard radiance)
[W/m2/sr/µm]

Lmax (max. radiance)
[W/m2/sr/µm]

SNR (Signal-to-noise ratio)

VNIR1

380

10

250

60

210

250

VNIR2

412

10

250

75

250

400

VNIR3

443

10

250

64

400

300

VNIR4

490

10

250

53

120

400

VNIR5

530

20

250

41

350

250

VNIR6

565

20

250

33

90

400

VNIR7

673.5

10

250

23

62

400

VNIR8

673.5

20

250

25

210

250

VNIR9

763

8

1000

40

350

400

VNIR10

868.5

20

250

8

30

400

VNIR11

868.5

20

250

30

300

200

Polarized channels

P1

673.5

20

1000

25

250

250

P2

868.5

20

1000

30

300

250

Table 2: Radiometric specification of the VNIR channels of SGLI

Channel

Center wavelength λ (µm)

Δλ (µm)

IFOV (m)

Lλ
[W/m2/sr/µm]
or Tstd (K)

Lmax
[W/m2/sr/µm]
or Tmax (K)

SNR
or NEΔT @ 300 K

SWIR1

1.05

0.02

1000

57

248

500

SWIR2

1.38

0.02

1000

8

103

150

SWIR3

1.63

0.2

250

3

50

57

SWIR4

2.21

0.05

1000

1.9

20

211

TIR1

10.8

0.74

500

300

340

0.2

TIR2

12.0

0.74

500

300

340

0.2

Table 3: Specification of the IRS (SWIR and TIR) channels of SGLI

The optical SGLI instrument is being designed and developed at NEC Toshiba Space, Tokyo, Japan. In turn, NEC Toshiba Space selected Sofradir of France to provide the infrared detectors for SGLI. As of 2008, Sofradir is providing concept studies for the cooled infrared MCT (HgCdTe)focal plane array detectors of the SGLI instrument. The two TIR arrays are centered on 10.8 and 12 µm wavelengths respectively, which are hybridized on a single readout circuit for accurate registration. 18) 19) 20)

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Figure 15: Illustration of the SGLI VNIR instrument (image credit: NEC Toshiba, JAXA)

The IRS whiskbroom scanner features six channels in the region of 1.05 µm to 12 µm (Table 3). The 45º tilted scan mirror is rotated around the X-axis continuously to realize a scan of 80º for Earth observation; in addition, the onboard calibrator (blackbody, solar diffuser, and inner light source) and deep space are being scanned on each scanner revolution. Compared with the double-sided mirror employed on GLI and MODIS, the constant incident angle to the IRS scan mirror represents an advantage for the calibration function.

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Figure 16: Illustration of the SGLI IRS instrument (image credit: NEC Toshiba, JAXA)

The observation light is directly focused onto the focal plane using a Ritchey-Chretien type telescope without any relay optics. The infrared spectral range is divided by the dichroic filter for the SWIR and TIR regions in order to optimize the detection process.

The four SWIR channels employ an InGaAs photodiode detector array cooled to -30ºC using a Peltier thermo electronic cooler. The two TIR channels use a photovoltaic type HgCdTe (PV-MCT) detector array cooled to 55 K by a Stirling-cycle cooler. The bandpass filters corresponding to the spectral channels are mounted on the focal plane in the detector packages.

The solar diffuser (made of Spectralon), the inner light source using LEDs (Light Emitting Diodes) for the SWIR channels and a high-emissivity blackbody for the TIR channels, are used as the onboard calibrator. These calibration sources and a deep space window, arranged around the scan mirror, make it possible to obtain calibration data on every scan.

Region covered

Geophysical products

Resolution

 

 

 

 

 

 

 

 

Land

Precise geometrically corrected image

250 m

Atmospherically corrected land surface reflectance

250 m

Vegetation index including NDVI and EVI

250 m

Vegetation roughness index including BSI_P and BSI_V

1 km

Shadow index

1 km

Land surface temperature

500 m

Fraction of absorbed photosynthetically active radiation

250 m

Leaf area index

250 m

Above ground biomass

1 km

Land net primary production

1 km

Plant water stress trend index

500 m

Fire detection index

500 m

Land cover type

250 m

Land surface albedo

1 km

 

 

 

 

 

 

Atmosphere

Cloud flag including cloud classification and phase

 

 

 

 

 

Scene: 1 km
Global: 0.1º

Classified cloud fraction

Cloud top temperature and height

Water cloud optical thickness and effective radius

Ice cloud optical thickness

Water cloud geometrical thickness

Aerosol over ocean by visible and NIR (Near Infrared)

Aerosol over land by NUV (Near Ultraviolet)

Aerosol over land by polarization

Long -wave radiation flux

Short-wave radiation flux

 

 

 

 

 

 

 

 

Ocean

Normalized water leaving radiance

 

 

 

Coast: 250 m
Open ocean: 1 km
Global 4-9 km

Atmospheric correction parameters

Ocean photosynthetically available radiation

Euphotic zone depth

Chlorophyll-A concentration

Suspended solid concentration

Absorption coefficient of colored dissolved organic matter

Inherent optical properties

SST (Sea Surface Temperature)

Coast: 500 m, other: ditto

Ocean net primary production

Coast: 500 m, other: ditto

Phytoplankton function type

Coast: 250 m, other: ditto

Red tide

 

Multi sensor merged ocean color parameters

Coast: 250 m, open ocean: 1 km

Multi sensor merged SST (Sea Surface Temperature)

Coast: 500 m, open ocean: 1 km

 

 

 

 

 

 

 

Cryosphere

Snow and ice covered area

Scene: 250 m, global: 1 km

Okhotsk sea-ice distribution (Note: Okhotsk is a sea lying between the
Kamchatka Peninsula on the east, the Kuril Islands on the southeast,
the island of Hokkaidō to the far south, the island of Sakhalin along
the west, and a long stretch of the eastern Siberian coast)

250 m

Snow and ice classification

1 km

Snow covered area in forest and mountain

250 m

Snow and ice surface temperature

Scene: 500 m, global 1 km

Snow grain size of shallow layer

Scene: 250 m, global: 1 km

Snow grain size of subsurface layer

1 km

Snow grain size of top layer

Scene: 250 m, global: 1 km

Snow and ice albedo

1 km

Snow impurity

Scene: 250 m, global: 1 km

Ice sheet surface roughness

1 km

Ice sheet boundary monitoring

250 m

Table 4: The SGLI level 2 products 21)

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Figure 17: Photo of the SGLI instrument (image credit: JAXA)

 


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2) "GCOM-C renamed SHIKISAI," JAXA, July 14, 2017, URL: http://global.jaxa.jp/projects/sat/gcom_c/

3) "GCOM-C (Global Change Observation Mission -Climate / SHIKISAI," URL: http://global.jaxa.jp/activity/pr/brochure/files/sat30.pdf

4) Keiji Imaoka + many contributors, "JAXA Earth Observation Missions," Mini-Workshop on A-Train Science, Tokyo, Japan, March 8, 2013, URL: http://suzaku.eorc.jaxa.jp/GCOM_W/
materials/atrainws_mar2013/3_Imaoka.pdf

5) "Successful Launch, H-IIA Launch Vehicle No. 37 - Encapsulating SHIKISAI and TSUBAME," JAXA Press Release, 23 Dec. 2017, URL: http://global.jaxa.jp/press/2017/12/20171223_h2af37.html

6) "Launch of Global Changing Observation Mission - Climate "Shikisai" (GCOM-C) and Super Low Altitude Test Satellite "TSUBAME" (SLATS) aboard H-IIA Vehicle No. 37," JAXA Press Release, 27 October, 2017, URL: http://global.jaxa.jp/press/2017/10/20171027_h2af37.html

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8) "Shikisai Data Stream Exploratory Measures Initiated for JAFIC," JAXA Press Release 3 August 2018, URL: http://global.jaxa.jp/press/2018/08/20180803_shikisai.html

9) Haruhisa Shimoda, "Global Change Observation Mission (GCOM)," IOVWST (International Ocean Vector Winds Science Team) Meeting, Barcelona, Spain, 24-26 April 2018, https://mdc.coaps.fsu.edu/scatterometry/meeting/past.php

10) "SGLI Polarimetric Radar Observation of Near Ultraviolet," JAXA, 23 March 2018 (updated 3 July 2018), URL: http://global.jaxa.jp/projects/sat/gcom_c/topics.html

11) "SHIKISAI Observation Data Acquired by SGLI," JAXA/EORC, Jan. 12, 2018, URL: http://suzaku.eorc.jaxa.jp/GCOM_C/monitor/gallery/20180112.html

12) "Global Change Observation Mission-Climate "SHIKISAI — color composite image of vegetation in Japan," URL: http://suzaku.eorc.jaxa.jp/GCOM_C/monitor/gallery/files/20180112_pdf01.pdf

13) "Completion of Critical Operations Phase, SHIKISAI and TSUBAME," JAXA Press Release, 24 Dec. 2017, URL: http://global.jaxa.jp/press/2017/12/20171224_shikisai_tsubame.html

14) "SHIKISAI Solar Array Deployment – Images," JAXA, 23 Dec. 2017, URL: http://global.jaxa.jp/projects/sat/gcom_c/topics.html#topics11204

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17) Atsuo Kurokawa, Yasuhiro Nakajima, Shinji Kimura, Hiroshi Atake, Yoshihiko Okamura, Kazuhiro Tanaka, Shunji Tsuida, Kenichi Ichida, Takahiro Amano, "High-precision narrow-band optical filters for global observation," Proceedings of the ICSOS (International Conference on Space Optical Systems and Application) 2012, Ajaccio, Corsica, France, October 9-12, 2012, URL: http://icsos2012.nict.go.jp/pdf/1569607351.pdf

18) P. Chorier, A. Dariel, L. Vial, A. Poupinet, M. Vuiliermet, P. Tribolet, "Sofradir advances in Infrared detectors for Space Applications," Proceedings of the 26th ISTS (International Symposium on Space Technology and Science) , Hamamatsu City, Japan, June 1-8, 2008

19) Yoshihiko Okamura, Kazuhiro Tanaka, Takahiro Amano, Masaru Hiramatsu, Koichi Shiratama, "Design and bread-boarding activities of the Second-generation Global Imager (SGLI) on GCOM-C," Proceedings of the 7th ICSO (International Conference on Space Optics) 2008, Toulouse, France, Oct. 14-17, 2008

20) Yoshihiko Okamura, Kazuhiro Tanaka, Takahiro Amano, Masaru Hiramatsu, Koichi Shiratama, "Breadboarding activities of the Second-generation Global Imager (SGLI) on GCOM-C," Proceedings of SPIE, 'Sensors, Systems, and Next-Generation Satellites XII,' edited by Roland Meynart, Steven P. Neeck, Haruhisa Shimoda, Shahid Habib, Vol. 7106, 71060Q-1, Cardiff, UK, Sept. 15, 2008

21) Keizo Nakagawa, "Global Change Observation Mission (GCOM)," Proceedings of ISPRS (International Society for Photogrammetry and Remote Sensing) Technical Commission VIII Symposium, Kyoto, Japan, Aug. 9-12, 2010, URL: http://www.isprs.org/proceedings/XXXVIII/part8/headline/
JAXA_Special_Session%20-%201/JTS12_20100306153736.pdf

 


The information compiled and edited in this article was provided by Herbert J. Kramer from his documentation of: "Observation of the Earth and Its Environment: Survey of Missions and Sensors" (Springer Verlag) as well as many other sources after the publication of the 4th edition in 2002. - Comments and corrections to this article are always welcome for further updates (herb.kramer@gmx.net).

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