ADEOS-II/AMSR L3 Soil Moisture (1month,0.25deg)
- DOI: 10.57746/EO.01gs73aqr4t9wt5f4qg95v365m
- Last Updated: 2023-02-14
Product Summary
ADEOS-II/AMSR L3 Soil Moisture (1month,0.25deg) 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 3 data inputs level 1B and level 2 data and projected to the map in accordance with the specified projection technique (Equi-Rectangular(EQR) or Polar Stereographic(PS)), and then averaged temporally and spatially. These statistical values are computed for observation data on ascending orbit and descending orbit respectively.
This product includes monthly mean Soil Moisture (SM). Among the water surface emissivity at AMSR observing frequencies, 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. The current version of the product is "Version 7". The statistical period is 1 month.
The projection method is EQR. The generation unit is global.
- 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
0.25 deg
Location
- GEOGRAPHIC REGION > GLOBAL LAND
- Dataset Short Name
- ADEOS-II_AMSR_L3_SM_1month_0.25deg
- 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
- L3
- 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
- 1month / Global
- Resolution
-
- Spatial Resolution
- 0.25 deg
- Temporal Resolution
- 1month
- Dataset Progress
- Complete
- Projection
- EQR
- Collection Data Type
- SCIENCE_QUALITY
- Get Data
- https://gportal.jaxa.jp/gpr/?lang=en
- Dataset Title
- ADEOS-II/AMSR L3 Soil Moisture (1month,0.25deg)
- Distribution Format
- HDF4
- Fees
- Free
- Citation
- Japan Aerospace Exploration Agency. 2003. ADEOS-II/AMSR L3 Soil Moisture (1month,0.25deg). https://doi.org/10.57746/EO.01gs73aqr4t9wt5f4qg95v365m
- 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.