GCOM-C/SGLI L2 Statistics-Land surface temperature (LST) (8-Days,250m)

  • DOI: 10.57746/EO.01gs73b4g3j8nk2vhzxrqybyqd
  • Last Updated: 2023-02-14
Data Progress: In Work
G-Portal

Product Summary

GCOM-C/SGLI L2 Statistics-Land surface temperature (LST) (8-Days,250m) 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 satellite 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 statistics products are using the Level2 product of land and cryosphere (Daily, Tile, 250 m or 1 km resolution) as input, it calculates and outputs the temporal statistics of 8-days or 1-month. The region definition and spatial resolutions of the output product are kept those of input data.
This dataset includes LST: Land surface temperature and QA_flag. The physical quantity unit is Kelvin.
The statistics values stored to product are average (AVE), root-mean-square (RMS), maximum value (MAX), minimum value (MIN), number of input data (Ninput), number of used data (Nused), date of observation (Date), and quality flag (QA_flag).
The provided format is HDF5. The spatial resolution is 250 m. The statistical period is 8 days also 1 month statistics is available. 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.

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_statistics-LST_8days_250m
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, 2018-11-01, Notavailable
Version 2, 2020-06-29, Available
Version 3, 2021-11-29, Available

File Format
HDF5
Dataset Type
8days / Tile
Resolution
Spatial Resolution
250 m
Temporal Resolution
8days
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 Statistics-Land surface temperature (LST) (8-Days,250m)
Distribution Format
HDF5
Fees
Free
Citation
Japan Aerospace Exploration Agency. 2018. GCOM-C/SGLI L2 Statistics-Land surface temperature (LST) (8-Days,250m). https://doi.org/10.57746/EO.01gs73b4g3j8nk2vhzxrqybyqd
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.