GCOM-C/SGLI L2 In-water properties (Chl-a TSM CDOM) (1km)

  • DOI: 10.57746/EO.01gs73b3d6t6hhnjef1ades7z6
  • Last Updated: 2023-02-14
Data Progress: In Work
G-Portal

Product Summary

GCOM-C/SGLI L2 In-water properties (Chl-a TSM CDOM) (1km) dataset is obtained from the SGLI sensor onboard GCOM-C and produced by the Japan Aerospace Exploration Agency (JAXA). GCOM-C is Sun-synchronous sub-recurrent Orbit sattelite launched on December 23, 2017, which mounts SGLI and conducts long-term global observations of geophysical variables related to the global climate system across 28 items including aerosol and vegetation over 4 areas of atmosphere, land, ocean, and cryosphere. The data will be used to contribute to higher accuracy of global warming prediction. The SGLI has swath of 1150 km in the visible band and 1400 km in the infrared band. Level 2 products are defined to be products composed of physical quantity data that is calculated based on Level 1B products and meteorological data, as well as various additional data related to the physical quantity data.
This dataset includes Chlorophyll-a concentration (CHLA), Total suspended matter concentration (TSM) and Colored dissolved organic matter (CDOM).
CHLA is the concentration of the green pigment in phytoplankton in sea surface level. The physical quantity unit is mg/m^3.
TSM is the dry weight of suspended matter in a unit volume of surface water which is the sum of organic such as phytoplankton and inorganic such as soil. The physical quantity unit is g/m^3.
CDOM is the light absorption coefficient of organics dissolved in surface water at 412 nm. The physical quantity unit is m-1.
The product also includes QA_Flag data with the same spatial resolution as the auxiliary data. The provided format is HDF5. The Spatial resolution is 250 m. The projection method is L1B reference coordinates. The generation unit is Scene. The current version of the product is Version 3. The Version 2 is also available, but please note that the "QA_Flag" data has been changed.

Platform
GCOM-C
Sensor
SGLI

Coverage

Temporal Coverage

2018-01-01 to Present

Spatial Coverage

Bounding Rectangle
(90.0°, -180.0°, -90.0°, 180.0°)

Resolution

1 km

Location

  • GEOGRAPHIC REGION > GLOBAL OCEAN
Dataset Short Name
GCOM-C_SGLI_L2_IWPR_1km
Platform / Sensor
GCOM-C / SGLI
Coverage
Spatial Coverage
Bounding Rectangle
(90.0°, -180.0°, -90.0°, 180.0°)
Temporal Coverage
2018-01-01 to Present
Product Level ID
L2
Version Description

Version 1, 2018-11-15, Notavailable
Version 2, 2020-06-29, Available
Version 3, 2021-11-29, Available

File Format
HDF5
Dataset Type
None / Scene
Resolution
Spatial Resolution
1 km
Temporal Resolution
None
Dataset Progress
In Work
Projection
None
Collection Data Type
SCIENCE_QUALITY
Get Data
https://gportal.jaxa.jp/gpr/?lang=en
Dataset Title
GCOM-C/SGLI L2 In-water properties (Chl-a TSM CDOM) (1km)
Distribution Format
HDF5
Fees
Free
Citation
Japan Aerospace Exploration Agency. 2018. GCOM-C/SGLI L2 In-water properties (Chl-a TSM CDOM) (1km). https://doi.org/10.57746/EO.01gs73b3d6t6hhnjef1ades7z6
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Use Constraints

The user is entitled to use G-Portal data free of charge without any restrictions (including commercial use) except for the condition about acknowledgement of data credit as stipulated in G-portal terms of use 7.(2).Click here for detailed G-Portal data usage constrains.

G-Portal Terms of service
https://gportal.jaxa.jp/gpr/index/eula?lang=en
ISO Topic Categories
  • Climatology/Meteorology/Atmosphere
  • Environment
  • Biota
  • Oceans
Science Keywords
  • EARTH SCIENCE > OCEANS > MARINE CHEMISTRY > SUSPENDED SOLIDS
  • EARTH SCIENCE > OCEANS > MARINE SEDIMENTS > SUSPENDED SOLIDS
  • EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > CHLOROPHYLL
Location Keywords
  • GEOGRAPHIC REGION > GLOBAL OCEAN

ISO Topic Categories is the keywords in the ISO 19115 - Geographic Information Metadata.

Science Keywords hosts Global Change Master Directory (GCMD) Keywords which are a hierarchical set of controlled Earth Science vocabularies that help ensure Earth science data, services, and variables are described in a consistent and comprehensive manner and allow for the precise searching of metadata and subsequent retrieval of data, services, and variables.