Summary of the SGLI products
Validation results(Ver. 2.00)
Earth Observation Research Center
Japan Aerospace Exploration Agency
29 June 2020

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History
23 Dec. 2017
1 Jan. 2018
28 Mar. 201820 Dec. 2018

GCOM-C (SHIKISAI) launched from Tanegashima Space Center
Release of the SGLI First-light images
Initial function verification completed
Public release of first version Level- 1 and Level- 2 SGLI products

Aug. 2019
Jun. 2020

GCOM-C Science team decided version-up products
Public release of second version Level- 1 and Level- 2 SGLI products

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Validation summary of the SGLI L1/L2 products
GCOM-C Success criteria (data production aspect only)
Success
Level

Minimum Success[L + 1 yr]

Full Success[L + 5 yr]

Extra Success[L + 5 yr]

Standard
Products

Complete the Cal. & Val. phaseand start data distribution of
more than 20 products
achieving the release accuracy
thresholds

Achieve standard accuracy
thresholds of all standard
products

Achieve target
accuracy thresholds of
one or more standard
products

Results of the version-up validation[The number of products]

L1[1]

Land
[9]

Atmosphere[8]

Ocean[7]Cryosphere[4]Total[29]Release accuracy

1987429

Level/Area

Standard accuracy
Target accuracy*

1 (+1) 4 (+3) 5 (+1) 5 (+2) 2 (+1) 17 (+8)
00

21 (0)03 (0)*the number of products achieved standard and target accuracy threshold
The numbers in parentheses are the differences of achieved product number from Ver.1.
Confirmation of achievement of standards and target accuracy will take place five years after launch.

Eight products achieved newly standard accuracy through version-up validation.
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Standard products version up summary

L1-ProductAlgorithm

Validation
JAXA

Level-1-Product

Algorithm

Validation
JAXA

Precise geometric correction
Atmospheric correctedreflectance (incl. clouddetection)

JAXA

Land PIs

LandfAPAR
Leaf area Index
Land surface temperature-Product
Cloud flag/Classification

Revise of BRDF estimation and QA
Update of the calibration coefficient
Add the Solar radiation in 8 bits
NA
Brush up the estimation coefficient and validation
methodLand PI

Shadow Index

Vegetation roughness index

Ver.2 Major changes
NA (bug fixed)

Vegetation Index

Above-ground biomass

Ver.2 Major changes
Correction for sensor sensitivity aging
Reduction of linear noise (VNR) and horizontal stripes (TIR)Land PIs

Land PIs

Revise of LUT and coefficient
Add the past observation for QA and data complement

Land PIs

Revise of LUT and coefficient
Revise of Understory LAI

Land PI

JAXA, Land PI
Land PI
Algorithm
Atmosphere PIs

Validation
JAXA,
Atmosphere PIs

Revise of cloud screening using CLFG

Ver.2主な変更点
NA

AtmosphereClassified cloud fraction
Cloud top temp/height
Water cloud optical
thickness/effective radiusAtmosphere PIs

Atmosphere PIs

NAIce cloud optical thickness

Aerosol over the oceanLand aerosol by near ultra-violet
Aerosol by polarization

JAXA,Atmosphere PIs

Atmosphere PIs

Revised inversion method
Using data assimilation model result as initial value
Revised cloud and snow screening

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Standard products version up summary-Product
Normalized water leaving radiance(incl. cloud detection)
Atmospheric correction parameters

Ocean

Photosynthetically available radiation
Chlorophyll-a concentration

Algorithm
Ocean PIs,
JAXA

CryosphereVer.2 Major changes
Revised algorithm and QAs

JAXA, Ocean PI
JAXA

Ocean PIs

NA

Suspended solid concentration

Ocean PI

Revised coefficients and QAs

Colored dissolved organic matter

Ocean PI

Revised coefficients and QAs

Sea surface temperature (incl. clouddetection)-Validation

ProductJAXAAlgorithm

Revised cloud detection
Validation

Snow and ice covered area (incl. clouddetection)
Okhotsk sea-ice distribution
Snow and ice surface temperature

Snow grain size of shallow layer

Ver.2 revision
Revised cloud detection algorithm

Cryosphere PI

Cryosphere PI
Updated emissivity table
Revised neural-network algorithmS-5

Accuracy requirements of SGLI standard products and Current Evaluation Status
Products

Ver.2 Accuracy

Release Accuracy

VNR/SW:5%(abs.),1%(rel.)

VNR/SW:5%(abs.)
TIR: 0.24 K (@300K)
Geometric acc.< 1 pixel
Geometric acc.< 0.43 pixel

L1 Level-1

Standard Accuracy

Target Accuracy

VNR/SW:5%(abs.),1%(rel.)
TIR: 0.5 K (@300K)
Geometric acc.< 0.5 pixel

VNR/SW:3%(abs.),0.5%(rel.)
TIR: 0.5 K (@300K)
Geometric acc.< 0.3 pixel

Precise geometric correction

0.15～0.43 pixel<1pixel<0.5pixel<0.25pixel

Atmospheric correctedreflectance (incl. clouddetection)

0.02 (<=443nm)
0.04 (>443nm)

0.3 (<=443nm),
0.2 (>443nm)

0.1 (<=443nm),
0.05 (>443nm)

0.05 (<=443nm),
0.025 (>443nm)

Grass: 20%, Forest: 15%

Grass: 10%, Forest: 10%

20%

10%

Grass：30%, Forest：50%

Grass：10%, Forest：20%

20%

10%

Vegetation Index* NDVI Grass:12%, Forest:10%
Grass: 25%, Forest: 20%
Grass:16%, Forest:20%
EVI

Land

26.3%

Shadow Index

30%

Grass:30%, Forest:52% Grass： 50%, Forest： 100%

Above-ground biomass
Vegetation roughness index

20.3%

40%

fAPAR

Grass:16%, Forest:17% Grass: 50%, Forest: 50%

Grass: 30%, Forest: 20% Grass: 20%, Forest: 10%

Leaf area Index

Grass:27%, Forest:36% Grass: 50%, Forest: 50%

Grass: 30%, Forest: 30%

Grass: 20%, Forest: 20%

3.0 K

2.5 K

1.5 KAtmosphere

Land surface temperature

2.1 K

Cloud flag/Classification-

10% (with whole-sky camera)

Incl. below cloud amount

Incl. below cloud amountClassified cloud fraction-

20% (on solar irradiance)

15% (on solar irradiance)

10% (on solar irradiance)

Cloud top temp/height-1K

3K/2km1.5K/1km

Water cloud optical
thickness/effective radius-10%/30% (CloutOT/raduis)

100% (as cloud liquid water) 50%/20%

Ice cloud optical thickness

-30%

70%

20%

Aerosol over the ocean

0.09**

0.1 (monthly ta_670,865)

0.1 (Scene ta_670,865)

0.05 (Scene ta_670,865)

Land aerosol by near UV

0.13

0.15 (monthly ta_380)

0.15 (scene ta_380)

0.1 (scene ta_380)

Aerosol by polarization

0.14

0.15 (monthly ta_670,865)

0.15 (scene ta_670,865)

0.1 (scene ta_670,865)

Accuracy achievedon Ver.1

Accuracy achievedon Ver.2

Version Up algorithms*The vegetation index is evaluated with the accuracy of both NDVI and EVI. Therefore,
the vegetation index was not achieved standard accuracy.
**The number of validation samples for Ocean AOT was small. Therefore, Ocean AOT was
not judged to achieved standard accuracy.

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Accuracy requirements of SGLI standard products and Current Evaluation Status

OceanProducts

Ver.2 Accuracy

Normalized waterleaving radiance (incl.
cloud detection)

19~47% (<600nm)
0.9W/m2/sr/um(>600nm)

Atmospheric correction
parameters
Photosynthetically availableradiation

Release AccuracyStandard Accuracy
50% (<600nm)

Target Accuracy
30% (<600nm)

60% (443～565nm)

0.5W/m /str/um(>600nm)79%

80% (ta_865nm)

50% (ta_865nm)

30% (ta_865nm)

9.5%

20% (10km/month)

15% (10km/month)

10%(10km/month)2

0.25W/m2/str/um(>600nm)

not achieved >670nm

Chlorophyll-aconcentration-58～+140%-60～+150% (offshore)-60～+150%-35～+50% (offshore)-50～+100% (coast)

Suspended solid
concentration-58～+138%-60～+150% (offshore)-60～+150%-50～+100%

Colored dissolved
organic matter-58～+139%

60% (443～565nm)-60～+150%-50～+100%

0.8K (daytime)

0.8K (day/night)

CryosphereSea surface temperature(incl. cloud detection)

day:0.4K,night:0.7K

Snow and Ice covered area(incl. cloud detection)

8.5%

10% (vicarious val. with other sat. data)

7%

5%

Okhotsk sea-ice distribution

9.0%

10% (vicarious val. with other sat. data)

5%

3%

Snow and ice surface
Temperature

2K

5K (vicarious val. with other sat. data andclimatology data)

2K

1K

Snow grain size ofshallow layer

34%

100% (vicarious val. with climatology
between temp-size)

50%

30%

Version Up algorithms

Accuracy achievedon Ver.1

0.6K (day/night)

not achieved night-time

Accuracy achievedon Ver.2*Version numbers of all products including version unchanged algorithms will be changed to “2xxx”.
The accuracy number is defined by the root mean square error (RMSE), which has the same unit as the physical quantities. The accuracy ratio(%) is evaluated by the ratio of RMSE and the average value of the in-situ data. For flag type products, the false determination rate (%) isstatistically evaluated using in-situ data.

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Schedule for the GCOM-C mission

201620172018

FY2017H29

FY2016
H282019

FY2018H3020202021

FY2020H32

FY2019H312022

FY2021
H332023

FY2022
H34

10-11-12 1 - 2 - 3 4 - 5 - 6 7 - 8 - 9 10-11-12 1 - 2 - 3 4 - 5 - 6 7 - 8 - 9 10-11-12 1 - 2 - 3 4 - 5 - 6 7 - 8 - 9 10-11-12 1 - 2 - 3 4 - 5 - 6 7 - 8 - 9 10-11-12 1 - 2 - 3 4 - 5 - 6 7 - 8 - 9 10-11-12 1 - 2 - 3 4 - 5 - 6 7 - 8 - 9 10-11-12 1 - 2 - 3Pre-launch algorithm
development

GCOM-C launch

Sensor Operation
Cal.

InitialCheck-out

Sensor performance

Evaluation

Val.

Review for the Ver. 1
data release and minimum success

Review for the Ver. 2
data release

Ver.1

Ver.2

Initial Cal.

Ver.3

Post-normalOperation

Vi- cal.
obs. data

Cal. for the Ver.2

Cal for the Ver.3

Cal. coef.
Determination

Ver.2 processing

Ver.1 processing
Proc.test

Algo. Improvement for Ver.1
Accuracy
Evaluation

Review for the Ver. 3
data releaseFinal review for the
full/extra success

Normal Operation

Cal. for the Ver.1

Ground System

Algorithm
Development &Improvement

Algorithm improvement and validation

Initial Cal./Val.

Review for thedevelopment Completion First Light

Postnormal
operation

Coef.
fixingProc.test

Proc.test
Past data
re-processing

Past data re-processing

Algo. Improvement for Ver.2

Ver.3 processing

Past data re-processing

Algo. Improvement for Ver.3

Coef.
TuringVal. for the Ver.1

Val. for the Ver.2

Val. for the Ver.3

Val. for the Final review

Ground truth data

In-situ
Observation

Field campaigns for theVer.1 data release

Field campaigns for the Ver.2/Ver.3 data release

Field campaigns for theFinal Review

Current - 2020.06.29
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