GCOM-C/SGLI L2 Land surface temperature

  • DOI: 10.57746/EO.01gs73b3gb1c3evfz28g98tc1f
  • Last Updated: 2023-02-14
Data Progress: In Work
G-Portal

Product Summary

GCOM-C/SGLI L2 Land surface temperature 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 Land Surface Emissivity at TI01 (E01), Land Surface Emissivity at TI02 (E02), Land Surface Temperature (LST), and quality flag (QA_flag).
E01 is land surface emissivity at TI01 estimated using the geometric corrected TOA radiance data as input. The physical quantiy unit is None.
E02 is land surface emissivity at TI02 estimated using the geometric corrected TOA radiance data as input. The physical quantiy unit is None.
LST is the temperature of terrestrial land surface estimated using the geometric corrected TOA radiance data as input by semi-analytical approach based on the radiative transfer simulation at two thermal infrared bands and the Split-Window method. The physical quantiy units is Kelvin.
The QA_flag shows flag of quality and observation condition.
The provided format is HDF5. The spatial resolution is 250m. The projection method is EQA. The generation unit is Tile. 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

250 m

Location

  • GEOGRAPHIC REGION > GLOBAL LAND
Dataset Short Name
GCOM-C_SGLI_L2_LST
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 / Tile
Resolution
Spatial Resolution
250 m
Temporal Resolution
None
Dataset Progress
In Work
Projection
EQA
Collection Data Type
SCIENCE_QUALITY
Get Data
https://gportal.jaxa.jp/gpr/?lang=en
Dataset Title
GCOM-C/SGLI L2 Land surface temperature
Distribution Format
HDF5
Fees
Free
Sample
Citation
Japan Aerospace Exploration Agency. 2018. GCOM-C/SGLI L2 Land surface temperature. https://doi.org/10.57746/EO.01gs73b3gb1c3evfz28g98tc1f
Access Constraints

No constraints but users need to be registered with the G-portal User Registration system to download files.

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
  • Imagery/Base Maps/Earth Cover
  • Environment
  • Climatology/Meteorology/Atmosphere
Science Keywords
  • EARTH SCIENCE > LAND SURFACE > SURFACE THERMAL PROPERTIES > LAND SURFACE TEMPERATURE
Location Keywords
  • GEOGRAPHIC REGION > GLOBAL LAND

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.