SHIKISAI GeoTIFF-Atmosphere | Cryosphere | Land | Ocean | Level1B

Level-2 / Level-3 Atmosphere Products

Click on the product name to see the details of the product.
If there are SD arrays (data sets) for multiple observation wavelengths, a representative one is shown.

ARNP (Aerosol properties using numerical prediction) [AROT/ ARAE/ ASSA]

Level-2 products are provided as a single HDF5 file including AROT (Aerosol optical thickness over land and ocean), ARAE (Ångström exponent over land and ocean), and ASSA (Single Scattering Albedo over land and ocean) by tile units.
For more information on tile products, see FAQ https://shikisai.jaxa.jp/faq/faq0080.html.
Level-2 global products are provided in the same geophysical quantity configuration as Level-2 products, but with a global EQA (sinusoidal equal area).
Level-3 products are provided as a global area product for each geophysical quantity.

G-Portal: HDF5
G-Portal Processing Request: GeoTIFF(Individual files)
JASMES: NetCDF4

Physical quantiies

AROT (Aerosol optical thickness over land and ocean)

The optical thickness (τ) of aerosols over land and ocean at 500 nm estimated using visible and near-infrared reflectance and polarization observations.

Resolution

Level-2: 1km

Level-2 Global: 1/24deg (4.6km)

Level-3: 1/12deg (9.3km)

Level-2
 

Level-2 Global
 

Level-3 (Daily statistics)

Level-3 (8-day statistics)

Level-3 (1-month statistics)

Physical quantiies

ARAE (Ångström exponent over land and ocean)

Ångström index of aerosols over land and ocean at 500 and 380 nm estimated using visible and near-infrared reflectance and polarization observations.

Resolution

Level-2: 1km

Level-2 Global: 1/24deg (4.6km)

Level-3: 1/12deg (9.3km)

Level-2
 

Level-2 Global
 

Level-3 (Daily statistics)

Level-3 (8-day statistics)

Level-3 (1-month statistics)

Physical quantiies

ASSA (Single Scattering Albedo over land and ocean)

Single scattering albedo over land and ocean at 380 nm estimated using visible and near-infrared reflectance and polarization observations.

Resolution

Level-2: 1km

Level-2 Global: 1/24deg (4.6km)

Level-3: 1/12deg (9.3km)

Level-2
 

Level-2 Global
 

Level-3 (Daily statistics)

Level-3 (8-day statistics)

Level-3 (1-month statistics)

CLPR (Cloud Properties) [CLTYPE, CFRx/ CLTT/ CLTH/ COTW/ CERW/ COTI/ Ice cloud effective radius]

Level-2 products are provided as a single HDF5 file including CLTYPE/ CFRx (Classified cloud fraction), CLTT (Cloud top temperature), CLTH (Cloud top height), COTW (Water cloud OT), CERW (Water cloud effective radius), COTI (Ice cloud optical thickness), and Ice cloud effective radius by tile units.
(For more information on tile products, see FAQ https://shikisai.jaxa.jp/faq/faq0080.html.)
Level-2 global products are provides in the same geophysical quantity configuration as Level-2 products, but with a global EQA (sinusoidal equal area).
Level-3 products are provided as a global area product for each geophysical quantity.

G-Portal: HDF5
G-Portal Processing Request: GeoTIFF(Individual files)
JASMES: NetCDF4

Physical quantities

Level-2/ Level-2 Global: CLTYPE (Cloud Type (Bit flag))

Level-3: CFRx (Classified cloud Fraction)

Cloud fractions vy nine cloud types based on the ISCCP classification rule.
x: 1–9, A, H, L, M

Resolution

Level-2: 1km

Level-2 Global: 1/24deg (4.6km)

Level-3: 1/12deg (9.3km)

Level-2
 

Level-2 Global
 

Level-3 (Daily statistics)

Level-3 (8-day statistics)

Level-3 (1-month statistics)

Physical quantities

CLTT (Cloud top temperature)

The temperature of the cloud top layer.

Resolution

Level-2: 1km

Level-2 Global: 1/24deg (4.6km)

Level-3: 1/12deg (9.3km)

Level-2
 

Level-2 Global
 

Level-3 (Daily statistics)

Level-3 (8-day statistics)

Level-3 (1-month statistics)

Physical quantities

CLTH (Cloud top height)

Height of the cloud top layer.

Resolution

Level-2: 1km

Level-2 Global: 1/24deg (4.6km)

Level-3: 1/12deg (9.3km)

Level-2
 

Level-2 Global
 

Level-3 (Daily statistics)

Level-3 (8-day statistics)

Level-3 (1-month statistics)

Physical quantities

COTW (Water cloud OT)

Optical thickness(OT) of water cloud droplets

Resolution

Level-2: 1km

Level-2 Global: 1/24deg (4.6km)

Level-3: 1/12deg (9.3km)

Level-2
 

Level-2 Global
 

Level-3 (Daily statistics)

Level-3 (8-day statistics)

Level-3 (1-month statistics)

Physical quantities

CERW (Water cloud effective radius)

The effective radius of water cloud droplets

Resolution

Level-2: 1km

Level-2 Global: 1/24deg (4.6km)

Level-3: 1/12deg (9.3km)

Level-2
 

Level-2 Global
 

Level-3 (Daily statistics)

Level-3 (8-day statistics)

Level-3 (1-month statistics)

Physical quantities

COTI (Ice cloud optical thickness)

The optical thickness of the ice cloud

Resolution

Level-2: 1km

Level-2 Global: 1/24deg (4.6km)

Level-3: 1/12deg (9.3km)

Level-2
 

Level-2 Global
 

Level-3 (Daily statistics)

Level-3 (8-day statistics)

Level-3 (1-month statistics)

Physical quantities

Ice cloud effective radius

The effective radius of ice cloud droplets

Resolution

Level-2: 1km

Level-2 Global: 1/24deg (4.6km)

Level-3: 1/12deg (9.3km)

Level-2
 

Level-2 Global
 

CLFG (Cloud flag)

Level-2 products are provided as HDF5 files by tile units.
For more information on tile products, see FAQ https://shikisai.jaxa.jp/faq/faq0080.html.
Level-2 global products are provides in the same geophysical quantity configration as Level-2 products, but with a global EQA (sinusoidal equal area).

G-Portal: HDF5
G-Portal Processing Request: GeoTIFF
JASMES: NetCDF4

Physical quantity

CLFG (Cloud flag/Classification)

Cloud discrimination flag including the cloud type and phase (liquid/solid) classification.

Resolution

Level-2: 250m, 1km

Level-2 Global: 1/24deg (4.6km)

Level-2
 

Level-2 Global
 

LCLR (Top of atmosphere radiance only when clear)

Level-2 global products are provided in EQA (sinusoidal equal area).

G-Portal: HDF5
JASMES: NetCDF4

Physical quantity

LCLR (Top of the atmosphere (TOA) radiance only when clear)

Global data of radiance at the top of the atmosphere (Only when clear)

Resolution

Level-2 Global: 1/24deg (4.6km)

Level-2 Global
 

LTOA (Top-of-atmosphere radiance)

Level-2 global products are provided in EQA (sinusoidal equal area).

G-Portal: HDF5
JASMES: NetCDF4

Physical quantity

LTOA (Top-of-atmosphere (TOA) radiance)

Global data of radiance at the top of the atmosphere

Resolution

Level-2 Global: 1/24deg (4.6km)

Level-2 Global
 

The following methods are available for using GeoTIFF files of "SHIKISAI" Level-2/Level-3 data.

* How to convert standard data obtained from the G-Portal using the tools

  • -CUI: SGLI Map projection & GeoTIFF conversion tool (The link to the download site is provided from "Tools used" below.)
  • -GUI: Earth Observation Data Conversion Tool (Click on the tool name to go to the download page)

* How to convert netCDF data obtained from the JASMES site to GeoTIFF

  • JASMES netCDF data can be read by the function to add layers in QGIS.
  • • GeoTIFF can be converted by QGIS's format conversion function, for example. Global data is centered at 180deg longitude, therefore a reference coordinate system must be set if necessary.
  • • Please see the following FAQ for information on converting on the command line.
  • https://shikisai.jaxa.jp/faq/faq0092.html

* How to obtain GeoTIFF from G-Portal processing requests

Tools

This section provides examples of GeoTIFF conversion of an HDF5 file "SHIKISAI image" obtained from G-Portal into a map-projected GeoTIFF file.
Click on the tool name to go to the download page.

Target Products Tool Name  

Level-2 (L2)

SGLI Map projection & GeoTIFF conversion tool
Link to "Tools & Documents" page in G-Portal.
Platforms: Windows, Linux

Level-3 (L3)

QGIS(Quantum GIS)/gdal
Link to an external site.
Platforms: Windows, Linux

This section explains converting a GeoTIFF file using the "Tools" above and the HDF5 sample data below. A map projection will also be provided.

Data used

Please obtain the following data from G-Portal.

Level-2 ARNP:
Observed 09/16/2022 Around the Sea of Japan (Tile No.0528) Daytime
GC1SG1_20220916D01D_T0528_L2SG_ARNPK_3003.h5 (4MB)

Level-3 AROT:
Monthly statistics for July 2022 Global Daytime
GC1SG1_20220701D01M_D0000_3MSG_AROTC_3000.h5 (10MB)

1)Command for Level-2 product (single SD array) conversion

Using the Windows command prompt or equivalent, go to the directory where "SGLI_geo_map_win.exe" is located.
(The Windows command prompt can be accessed from Windows Start > Windows System > Command Prompt.)
Below is an example where the SGLI_geo_map_win.exe and the data folder containing the data are in the sgli_data folder on the C drive.

The command is an example of map projection of the SD array AROT in Image_data and output as an LZW compressed GeoTIFF file.
The pixel value of 65535 is set to indicate an invalid value; the slope and offset values in the attribute (text information) are stored in the GDAL_METADATA tag.
These values can be found in the <Slope> and <Offset> tags in the XML file output with the GeoTIFF conversion.

>cd C:\sgli_data
>SGLI_geo_map_win.exe c:\sgli_data\data\GC1SG1_20220916D01D_T0528_L2SG_ARNPK_3003.h5 -d Image_data/AROT -r 0 -a default -n 65535 -z -o c:\sgli_data

Command Explanation

For details on optional commands, please refer to the User's manual.

  • SGLI_geo_map_win.exe: SGLI Map projection & GeoTIFF conversion tool for Windows
  • GC1SG1_20220916D01D_T0528_L2SG_ARNPK_3003.h5: Product name obtained from G-Portal
  • -d Image_data/AROT: SD array name (dataset name) in Image_data to be converted
  • -r 0: Resampling method (NN)
  • -a default: Set conversion coefficients (slope/offset) as physical quantities. If the software supports it, like QGIS, the converted values will be displayed (the data will retain their original values).
  • -n 65535: Set an invalid value
  • -z: Apply LZW compression
  • -o C:\sgli_data: Set any output destination

See "GeoTIFF Tag Information" for the tag information stored in the converted GeoTIFF file.

Converted image displayed in QGIS

2) Combining multiple SD arrays of Level-2 products into one file

Using the Windows command prompt or the equivalent, go to the directory where "SGLI_geo_map_win.exe" is located.
(The Windows command prompt can be accessed from Windows Start > Windows System > Command Prompt.)
Below is an example where SGLI_geo_map_win.exe and the data folder are in the sgli_data folder directly on the C drive.

The command is an example of map projection of SD arrays AROT, QA_Flag in Image_data, and is output as a single LZW compressed GeoTIFF file.
The pixel value of 65535 is set to indicate an invalid value, and the slope and offset values in the attribute (text information) are stored in the GDAL_METADATA tag.
The values are in the tags in the XML file output with the GeoTIFF conversion.
* To output two files, one geophysical and one QA_flag, in a single GeoTIFF and display them in QGIS, set Layer Properties > Symbology > Rendering Type to single band gray.

>cd C:\sgli_data
>SGLI_geo_map_win.exe C:\sgli_data\GC1SG1_20220916D01D_T0528_L2SG_ARNPK_3003.h5 -c AROT,QA_flag -r 0 -a default -n 65535 -z -o C:\sgli_data

Command Explanation

For details on optional commands, please refer to the User's manual.

  • SGLI_geo_map_win.exe: SGLI Map projection & GeoTIFF conversion tool for Windows
  • GC1SG1_20220916D01D_T0528_L2SG_ARNPK_3003.h5: Product name obtained from G-Portal
  • -c AROT,QA_flag: SD array names (dataset names) in Image_data to be converted
  • -r 0: Resampling method (NN)
  • -a default: Set the conversion factor (slope/offset) for the geophysical quantity. If the software supports it, like QGIS, the converted values will be displayed (the data will retain their original values).
  • -n 65535: Set an invalid value
  • -z: Apply LZW compression
  • -o C:\sgli_data: Set any output destination

See "GeoTIFF Tag Information" for the tag information stored in the converted GeoTIFF file.

3) The gdal command during Level-3 product conversion

To use the gdal command, start the OSgeo4W Shell.
(The OSgeo4W Shell can be accessed at Windows Start > QGIS 3.22.8 > OSgeo4W Shell for a typical installation. The above GeoTIFF output tool is also available from the OSgeo4W Shell.)
Navigate to the directory where the data to be converted to GeoTIFF is stored.

The example below shows where the data to be converted is in the sgli_data folder on the C drive.
The command is an example of map projection of the SD array AROT_AVE in Image_data and output as an LZW compressed GeoTIFF file.
The pixel value of 65535 is set to indicate an invalid value, and the slope and offset in the attribute (text information) are stored in the GDAL_METADATA tag.
Slopes and offsets can be checked with the gdalinfo and HDFView (tool download required) commands.
For an example, please refer to "How to confirm the SD array name of Level-2/Level-3 Atmosphere products."

>cd C:\sgli_data
>gdal_translate -of GTiff -a_srs EPSG:4326 -a_ullr -180 90 180 -90 -a_nodata 65535 -a_scale 9.9999997e-05 -a_offset 0 -co COMPRESS=LZW HDF5:"GC1SG1_20220701D01M_D0000_3MSG_AROTC_3000.h5"://Image_data/AROT_AVE L3AROT_202207_01M.tif

Command Explanation
  • gdal_translate: Format conversion commands
  • -of GTiff: Set GeoTIFF output
  • -a_srs EPSG:4326: Set the reference coordinate system for the input file.
  • -a_ullr -180 90 180 -90: Set the upper left and lower right coordinate values (longitude and latitude).
  • -a_nodata 65535: Set an invalid value
  • -a_scale, -a_offset: Set the slope and offset.
  • -co COMPRESS=LZW: Set LZW compression.
  • HDF5:"GC1SG1_20220701D01M_D0000_3MSG_AROTC_3000.h5"://Image_data/AROT_AVE: Information on SUBDATASET_X_NAME to be converted when displayed in gdalinfo (X: number)
  • L3AROT_202207_01M.tif: Set the output file name.

Converted image displayed in QGIS

4) The gdal command for applying QA_flag to Level-2/Level-3 products

Here is an example of applying QA_flag information to AROT data created with the "SGLI Map projection & GeoTIFF conversion tool."
Convert the AROT and QA_flag to GeoTIFF format using option "-c" for the "SGLI Map projection & GeoTIFF conversion tool."
The following command extracts data for which the flag of the 4th-5th bit (unreliable) in one pixel set in the QA of ARNP including AROT is other than 11(3). In addition, it extracts data for which the flag for the 13th bit (surface reflectance is uncertain) is other than 1 (1). The flag value is "0" or "1."
Information on AROT's QA_flag can be found in the "Products and Algorithms" section of the EORC GCOM-C website (https://suzaku.eorc.jaxa.jp/GCOM_C/data/update/Algorithm_ARNP_en.html).

>cd C:\sgli_data
>gdal_calc -A GC1SG1_20220916D01D_T0528_L2SG_ARNPK_3003_AROT_QA_flag.tif --A_band=2 --outfile=L2ARNP_AROT0528D01D_QA.tif --calc="(((A >> 4) & 3) < 3) * (((A << 13) & 1) == 0) * ((A & 1) == 0) * 1" --NoDataValue=65535

Command Explanation
  • gdal_calc: gdal command to perform calculations in the data
  • -A: Set the file name used in the formula to "A"
  • GC1SG1_20220916D01D_T0528_L2SG_ARNPK_3003_AROT_QA_flag.tif: File name to be calculated
  • --A_band=2: Set the order in GeoTIFF where QA_flag is stored
  • --outfile: Set any output file name for calculation results
  • --calc: Set up calculation formulas
  • (((A >> 4) & 3) < 3): First, shift the bit information by 4 bits to the right. Only the upper bits are left. Also, calculate the and (& 3) of bits and extract the 4th-5th bit, leaving fewer than 11(3) bits.
  • (((A >> 13) & 1) == 0): First, shift the bit information by 13 bits to the right. Only the upper bits are left. Also, calculate the and (& 1) of the bit and extract the 13th bit. The value of the 13th bit of "0" is left.
  • ((A & 1) == 0) * 1: If the value of the 0 bit (valid value) is "0" in the and (& 1) calculation of the bit, it is left. If the conditional expression is satisfied, "1" is set.
  • --NoDataValue: Set an invalid value

Example of bit calculation

* A >> 4 or right_shift(A, 4) ------ If A has the pixel value (decimal: 18431) "01000111111111111111", it is shifted right by 4. The data will be for "010001111111".
* A & 3 or bitwise_and(A, 3) ------ Performs an 11 (decimal 3)-bit operation on the pixel value of A. Extract 4-5 bits of the original data.

010001111111 (1151)
& 000000000011 (3)
---------------------------------
000000000011 (3)

(0 and 0 -->0, 1 and 1 --> 1, 0 and 1 --> 0)

Create AROT data using the created QA_flag data.

>gdal_calc -A GC1SG1_20220916D01D_T0528_L2SG_ARNPK_3003_AROT_QA_flag.tif --A_band=1 -B L2ARNP_AROT0528D01D_QA.tif --outfile=L2ARNP_AROT0528D01D_addQA.tif --calc="((A <= 5000) * (B == 1)) * A + ((A <= 5000) * (B == 0)) * 65535 + ((A > 5000) * (B == 0)) * 65535 + ((A > 5000) * (B == 1)) * 65535" --NoDataValue=65535

Command Explanation
  • gdal_calc: gdal command to perform calculations in the data
  • -A, -B: Set "A" and "B" as file names to be used in formulas
  • GC1SG1_20220916D01D_T0528_L2SG_ARNPK_3003_AROT_QA_flag.tif: Set to "A" the name of the file to be calculated
  • L2ARNP_AROT0528D01D_QA.tif: Set the file name from which flags are extracted to "B."
  • --A_band=1: Set the order in GeoTIFF where AROT is stored
  • --outfile: Set any output file name for the calculation results
  • --calc: Set up calculation formulas
  • (A <= 50000) * (B == 1) * A: If the A data is within the valid range and the B data is "1", the A value is left unchanged.
  • (A <= 50000) * (B == 0) * 65535: Data containing A data within the valid range and B data "0" are assigned to the invalid value.
  • (A > 50000) * (B == 0) * 65535: Data with A data outside the valid range and B data "0" are assigned to invalid values.
  • (A > 50000) * (B == 1) * 65535: The data containing A data is outside the valid range and B data is "1" are assigned to invalid values.

Set slope/offset with gdal_edit.

>gdal_edit -scale 9.9999997e-05 -offset 0 L2ARNP_AROT0528D01D_addQA.tif

QGIS display of AROT image with QA_flag applied

The use of the QA_flag for Level-3 products is the same as for Level-2. Apply the QA_flag as necessary.
The following is an example of excluding pixels with no input data and pixels with error flags.

>gdal_translate -of GTiff -a_srs EPSG:4326 -a_ullr -180 90 180 -90 -co COMPRESS=LZW HDF5:"GC1SG1_20220701D01M_D0000_3MSG_AROTC_3000.h5"://Image_data/AROT_QA_flag L3AROT_202207_01M_QAflag.tif
>gdal_calc -A L3AROT_202207_01M_QAflag.tif --outfile=L3AROT_202207_01M_QAflag_cal.tif --calc="(A > 253) * 0 + (A <= 253) * 1"
>gdal_calc -A L3AROT_202207_01M.tif -B L3AROT_202207_01M_QAflag_cal.tif --outfile=L3AROT_202207_01M_addQA.tif --calc="(A <= 50000) * (B == 1) * A + (A <= 50000) * (B == 0) * 65535 + (A > 50000) * (B == 0) * 65535 + (A > 50000) * (B == 1) * 65535" --NoDataValue=65535

Command Explanation
  • gdal_translate: Format conversion commands.
    For a description of the commands, see "3) gdal command example for Level-3 product conversion."
  • gdal_calc: Use gdal command to perform calculations on the data
    In the first gdal_calc, values outside the valid range of the QA_flag are set to "0," and the values within the valid range are set to "1".
    The second gdal_calc is as follows
  • -A, -B: Set "A" and "B" as file names to be used in formulas
  • L3AROT_202207_01M.tif: Set the name of the file to be calculated to "A."
  • L3AROT_202207_01M_QAflag_cal.tiff: Set the name of the file from which flags are extracted to "B."
  • --outfile: Set any output file name for the calculation results
  • --calc: Set up calculation formulas
  • (A <= 50000) * (B == 1) * A: If the A data is within the valid range and the B = "1," the A value is left unchanged. Calculations using slope/offset are also possible.
  • (A <= 50000) * (B == 0) * 65535: Data with A data within the valid range and B = "0" are assigned to the invalid value.
  • (A > 50000) * (B == 0) * 65535: Data with A data outside the valid range and B = "0" are assigned to invalid values.
  • (A > 50000) * (B == 1) * 65535: The data with A data outside the valid range and B = "1" is assigned to the invalid value.

Set the slope/offset with gdal_edit.

>gdal_edit -scale 9.9999997e-05 -offset 0 L3AROT_202207_01M_addQA.tif

QGIS display of L3 AROT image with QA_flag applied

5) How to Confirm SD array names of Level-2/Level-3 Atmosphere products

For SD array names, please refer to "SD Array Names of Level-2/Level-3 Atmosphere Products," below.
For more information, please visit the EORC GCOM-C "Standard Products and Algorithms" website.

The SD array can be checked in the following ways.
For GeoTIFF conversion of Level 3 products, please use gdalinfo of gdal.

gdalinfo HDFView

If you have a typical QGIS installation, please use the OSGeo4W Shell.
(Start Menu > QGIS 3.22.8 > OSGeo4W Shell for version 3.22)
Go to the directory containing the data to be converted and enter gdalinfo followed by the file name.
Image_data_xxx_Offset and Slope correspond to offset and scale in gdal.
After "Image_data/" in SUBDATASET is the SD array name; for conversion in gdal, specify the underlined part.

Example of Level-3 AROT display.
(1) SD array name in Image_data
(2) SD array name in Geometry_data (only folder if not included)
(3) Additional information on AROT_AVE, slope, and offset information etc.

>gdalinfo GC1SG1_20220701D01M_D0000_3MSG_AROTC_3000.h5

Image_data_AROT_AVE_Error_DN=65535
Image_data_AROT_AVE_Maximum_valid_DN=50000
Image_data_AROT_AVE_Minimum_valid_DN=0
Image_data_AROT_AVE_Offset=0
Image_data_AROT_AVE_Slope=9.9999997e-05
Image_data_AROT_AVE_Unit=Dimensionless
・・・・・・
Subdatasets:
SUBDATASET_1_NAME=HDF5:"GC1SG1_20220701D01M_D0000_3MSG_AROTC_3000.h5"://Image_data/AROT_AVE
SUBDATASET_1_DESC=[2160x4320] //Image_data/AROT_AVE (16-bit unsigned integer)
SUBDATASET_2_NAME=HDF5:"GC1SG1_20220701D01M_D0000_3MSG_AROTC_3000.h5"://Image_data/AROT_QA_flag
SUBDATASET_2_DESC=[2160x4320] //Image_data/AROT_QA_flag (8-bit unsigned character)


6) SD array names of Level-2/Level-3 Atmosphere products

  Product Name Physical quantity ID SD array name (Dataset name)
Level-2
CLFG (Cloud flag)

CLFG (Cloud flag)

CLFG

Cloud_flag

CLPR (Cloud Properties)

Water/Ice cloud effective radius

CLPR

CLER_I, CLER_W

Water/Ice cloud optical thickness

CLOT_I, CLOT_W

Cloud top height

CLTH

Cloud top temperature

CLTT

Cloud Type

CLTYPE

ARNP (Aerosol properties using numerical prediction)

AROT (Aerosol optical thickness over land and ocean)

ARNP

AROT, AROT_uncertainty

ARAE (Ångström exponent over land and ocean)

ARAE, ARAE_uncertainty

ASSA (Single Scattering Albedo over land and ocean)

ASSA, ASSA_uncertainty
Level-2 Global
CLFG (Cloud flag)

CLFG (Cloud flag)

CLFG

Cloud_flag

CLPR (Cloud Properties)

Water/Ice cloud effective radius

CLPR

CLER_I, CLER_W

Water/Ice cloud optical thickness

CLOT_I, CLOT_W

Cloud top height

CLTH

Cloud top temperature

CLTT

Cloud Type

CLTYPE

ARNP (Aerosol properties using numerical prediction)

AROT (Aerosol optical thickness over land and ocean)

ARNP

AROT, AROT_uncertainty

ARAE (Ångström exponent over land and ocean)

ARAE, ARAE_uncertainty

ASSA (Single Scattering Albedo over land and ocean)

ASSA, ASSA_uncertainty

LCLR (Top of atmosphere radiance only when clear)

LCLR (Top of atmosphere radiance only when clear)

LCLR

Cloud_flag
Land_water_flag
Lt_P(1,2)_(0,m60,p60)
Lt_P(I,Q,U)(01,02)
Lt_SW(01-04)
Lt_TI(01,02)
Lt_VN(01-11,08P,11P)
Statistic_data_(SWI,TIR,VNI)

LTOA (Top-of-atmosphere radiance)

LTOA (Top-of-atmosphere radiance)

LTOA

Land_water_flag
Lt_P(1,2)_(0,m60,p60)
Lt_P(I,Q,U)(01,02)
Lt_SW(01-04)
Lt_TI(01,02)
Lt_VN(01-11)
Statistic_data_(SWI,TIR,VNI)
Level-3
Water cloud effective radius

Water cloud effective radius

CERW

CLER_W_AVE

Water cloud optical thickness

Water cloud optical thickness

COTW

CLOT_W_AVE

Ice cloud optical thickness

Ice cloud optical thickness

OTI

CLOT_I_AVE

Cloud top height

Cloud top height

CLTH

CLTH_AVE

Cloud top temperature

Cloud top temperature

CLTT

CLTT_AVE

Classified cloud fraction

Classified cloud fraction

CFR(1-9)
CFR(A,H,L,M)

CFR(1-9)_Stat
CFR(A,H,L,M)_Stat

Aerosol optical thickness over land and ocean

Aerosol optical thickness over land and ocean

AROT

AROT_AVE

Ångström exponent over land and ocean

Ångström exponent over land and ocean

ARAE

ARAE_AVE

Single Scattering Albedo over land and ocean

Single Scattering Albedo over land and ocean

ASSA

ASSA_AVE

7) Converting to a physical quantity

When converted to GeoTIFF using the SGLI Map projection & GeoTIFF conversion tool, the coefficients (slope/offset) of the geophysical conversion are output to an XML file created at the same time.
Display in a text editor or browser.

Below is an example of AROT xml.
Substitute the values of <Slope> and <Offset> into the formulas in <Data_description> to convert pixel values into physical quantities.

<Data_description>Aerosol Optical Thickness at 500 nm | VAL=DN*Slope+Offset</Data_description>
<Offset>0.000000e+000</Offset>
<Slope>1.000000e-004</Slope>

When calculating with the gdal command, the values converted with the following command are stored.
The Slope and Offset values can be left as "1.00000000e-004, 0.00000000e+000".

>gdal_calc -A input.tif --outfile=output.tif --type=Float32 --calc="A * 0.0001" --NoDataValue=65535

8) Checking the data quality flag (QA Flag)

Product quality flags (QA_Flag) are stored as 16- or 8bit ON (1) and OFF (0) information.
Product quality information can be found in the "QA_flag information" section of each product page on the "Standard Products & Algorithms" (https://suzaku.eorc.jaxa.jp/GCOM_C/data/product_std.html) website.

Bit No. 15 14 13 12 11 10 9 8 7 6 5 4 3 2 1 0
Example 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0

9)GeoTIFF Tag Information

Classification Tag ID Name Definition/Value
TIFF Field
258

BitPerSample

Number of bits per component.

8 or 16
32(when converting physical quantity)

259

Compression

Compression method

1: No compression
5: LZW(when compression is specified)

257

ImageLength

Image length

Height (vertical length) of an image expressed in line units.

256

ImageWidth

Image width

Width (horizontal length) of an image expressed in pixel units.

274

Orientation

Scanning orientation

1: TopLeft(The image is stored as it is shown)

262

PhotometricInterpretation

Photometric type

1: BlackIsZero(Display 0 in grayscale image as black)

284

PlanarConfiguration

Order of storing image data

1: Pixel priority mode (pixel-by-pixel) e.g.RGBRGBRGB……
2: Plane priority mode (plane-by-plane) e.g.RRR……GGG……BBB……

339

SampleFormat

Type of data

1: Unsigned integer data
3: single precision floating point number (when converting physical quantity)

277

SamplesPerPixel

Number of samples per pixel

Number of stored channels/band

278

RowsPerStrip

The number of lines per strip

The number of lines of image data per strip.

42112

GDAL_METADATA

GDAL_METADATA

The slope and offset values are stored according to the settings.

42113

GDAL_NODATA

GDAL_NODATA

Used in the GDAL library and treated as transparent.
GeoKey
34735

GeoKeyDirectoryTag

GeoKey Directory

Store GeoKey directory

34736

GeoDoubleParamsTag

GeoDouble parameter

Stores double-valued GeoKeys

34737

GeoAsciiParamsTag

GeoAscii Parameters

Stores ASCII-valued GeoKeys

33922

ModelTiepointTag

Tie point

Tie point information(I,J,K,X,Y,Z). Image position (I,J,K) and geographic coordinates (X,Y,Z)

33550

ModelPixelScaleTag

Pixel scale in map linear units per pixel

Horizontal and vertical pixel spacing
(ScaleX, ScaleY, ScaleZ)

1024

GTModelTypeGeoKey

Type of geographic coordinate information

1: ModelTypeProjected(Projected coordinate system)
2: ModelTypeGeographic(Latitude-longitude coordinate system)

1025

GTRasterTypeGeoKey

Type of raster

1: RasterPixelIsArea (One pixel represents an area in the real world)

1026

GTCitationGeoKey

CRS Citation

Geographic (Lat/Lon) / WGS84 PS / WGS84 (When PS is selected)

2054

GeogAngularUnitsGeoKey

Coordinate unit(angle) identification code.

9102: Degree

2048

GeographicTypeGeoKey

Type of coordinate system

4326: WGS84

2049

GeogCitationGeoKey

Geographic coordinate system citation

WGS 84 (When converted by gdal)

3072

ProjectedCSTypeGeoKey

Projected coordinate reference system

32767: User-defined (When PS is selected)

3073

PCSCitationGeoKey

Projection citation

Geographic (Lat/Lon) / WGS84 PS / WGS84 (When PS is selected)

3074

ProjectionGeoKey

Projection method

32767: User-defined (When PS is selected)

3075

ProjCoordTransGeoKey

Coordinate transformation method

15: CT_PolarStereographic (When PS is selected)

3076

ProjLinearUnitsGeoKey

Linear unit

9001: Linear_Meter (When PS is selected)

3081

ProjNatOriginLatGeoKey

Latitude of map-projection Natural origin

71(Northern hemisphere), -71(Southern hemisphere) (When PS is selected)

3082

ProjFalseEastingGeoKey

Gives the easting coordinate of the map projection Natural origin

0 (When PS is selected)

3083

ProjFalseNorthingGeoKey

Gives the northing coordinate of the map projection Natural origin

0 (When PS is selected)

3095

ProjStraightVertPoleLongGeoKey

Longitude at Straight Vertical Pole. For polar stereographic

0 (When PS is selected)