ADEOS-II/AMSR L2 Soil Moisture

  • DOI: 10.57746/EO.01gs73aqcvm8cwyx4j6c9zcs9z
  • Last Updated: 2023-02-14
Data Progress: Complete
G-Portal

Product Summary

ADEOS-II/AMSR L2 Soil Moisture dataset is obtained from the AMSR sensor onboard ADEOS-II and produced by the Japan Aerospace Exploration Agency (JAXA).
The Advanced Earth Observing Satellite-II (ADEOS-II) was launched on December 14, 2002 (Japanese Standard Time). The objective of ADEOS-II was to acquire data to contribute to international global climate change research, as well as for applications such as meteorology and fishery. ADEOS-II operation on orbit was given up on October 31 2003, because sufficient electric power was not available to maintain operation of the satellite.
AMSR observes various physical contents concerning to water (H2O) by receiving weak microwaves naturally radiated from the Earth's surface and atmosphere and also regardless of day or night, the presence of clouds. Those sensors aim at collecting global data for mainly understanding the circulation of water and energy.
Level 2 product stores the Geophysical quantity from the brightness temperature of level 1 product.
This product includes Soil Moisture (SM). In general, at a smooth interface between two semi-infinite media, the emissivity is equal to one minus the Fresnel power reflectivity, which is calculated by using dielectric constant of the media and incident angle. Among the water surface emissivity at AMSR observing frequencies, 6.9; l0.6, 18.7, 36.5 and 89 GHz, the emissivity is larger at the higher frequency than at the lower one for both polarizations. The index, the discrepancy between the brightness temperatures at two frequencies divided by one at lower frequency, can be used as an index for surface wetness. The physical quantity unit is %.
The provided format is HDF4. Spatial resolution is 10 km. The current version of the product is "Version 7". The generation unit is scene (defined as a half orbit).

Platform
ADEOS-II
Sensor
AMSR

Coverage

Temporal Coverage

2003-04-02 to 2003-10-25

Spatial Coverage

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

Resolution

10 km

Location

  • GEOGRAPHIC REGION > GLOBAL LAND
Dataset Short Name
ADEOS-II_AMSR_L2_SM
Platform / Sensor
ADEOS-II / AMSR
Coverage
Spatial Coverage
Bounding Rectangle
(90.0°, -180.0°, -90.0°, 180.0°)
Temporal Coverage
2003-04-02 to 2003-10-25
Product Level ID
L2
Version Description

Version 3, 2005-03-01, Notavailable
Version 4, 2006-03-15, Notavailable
Version 6, 2008-03-25, Notavailable
Version 7, 2011-09-28, Available

File Format
HDF4
Dataset Type
None / Scene
Resolution
Spatial Resolution
10 km
Temporal Resolution
None
Dataset Progress
Complete
Projection
None
Collection Data Type
SCIENCE_QUALITY
Get Data
https://gportal.jaxa.jp/gpr/?lang=en
Dataset Title
ADEOS-II/AMSR L2 Soil Moisture
Distribution Format
HDF4
Fees
Free
Citation
Japan Aerospace Exploration Agency. 2003. ADEOS-II/AMSR L2 Soil Moisture. https://doi.org/10.57746/EO.01gs73aqcvm8cwyx4j6c9zcs9z
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
Science Keywords
  • EARTH SCIENCE > LAND SURFACE > SOILS > SOIL MOISTURE/WATER CONTENT
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.