GCOM-C/SGLI L2 Snow and Ice Physical Properties (250m)

  • DOI: 10.57746/EO.01gs73b3v45wngznvj72tfkg36
  • Last Updated: 2023-02-14
Data Progress: In Work
G-Portal

Product Summary

GCOM-C/SGLI L2 Snow and Ice Physical Properties (250m) dataset is obtained from the SGLI sensor onboard GCOM-C produced by the Japan Aerospace Exploration Agency (JAXA). GCOM-C is sun-synchronous sub-recurrent orbit satellite launched on December 23, 2017 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 granule scene and global (tile) data of physical quantity derived from Level 1B or Level 2 products and ancillary data such as meteorological data and various additional data related to the physical quantity.
This dataset includes Snow Grain size of Shallow Layer (SGSL), Snow and Ice Surface Temperature (SIST) and QA flag.
SGSL data is the optical equivalent snow grain size of shallow layer estimated based on neural network method using observed radiance in the visible and near infrared region. The physical quantity unit is micro-meter.
SIST data is the skin temperature of snow and ice estimated based on split-window method using observed brightness temperature in the thermal infrared region. The physical quantity unit is Kelvin.
QA_flag shows the flag of estimation quality and retrieval conditions.
The provided format is HDF5. The projection method is EQA and 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
Dataset Short Name
GCOM-C_SGLI_L2_SIPR_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, 2020-10-21, 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 Snow and Ice Physical Properties (250m)
Distribution Format
HDF5
Fees
Free
Sample
Citation
Japan Aerospace Exploration Agency. 2018. GCOM-C/SGLI L2 Snow and Ice Physical Properties (250m). https://doi.org/10.57746/EO.01gs73b3v45wngznvj72tfkg36
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
  • Climatology/Meteorology/Atmosphere
  • Imagery/Base Maps/Earth Cover
  • Environment
  • Oceans
Science Keywords
  • EARTH SCIENCE > Terrestrial Hydrosphere > SNOW/ICE > SNOW/ICE TEMPERATURE
  • EARTH SCIENCE > CRYOSPHERE > SEA ICE > ICE TEMPERATURE
  • EARTH SCIENCE > CRYOSPHERE > SNOW/ICE > SNOW/ICE TEMPERATURE
Location Keywords
  • GEOGRAPHIC REGION > GLOBAL

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.