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Description

This Level-2B AMSR Unified product contains surface soil moisture at 25 km resolution, estimated from AMSR-E and AMSR2 brightness temperature observations using two different approaches: the Normalized Polarization Difference (NPD) algorithm and the Single Channel Algorithm (SCA). Data are provided in the NSIDC EASE-Grid Global projection.

Soil moisture estimates are derived from AMSR-E and AMSR2 data which have been spatially resampled by the Japan Aerospace Exploration Agency (JAXA) to intercalibrate, or “unify,” the two sensors.

Version Description

Initial release

Product Summary

Platforms
Aqua ,
GCOM-W1
Instruments
AMSR-E ,
AMSR2
Spatial Extent

N: 89.24 S: -89.24 E: 180 W: -180

Spatial Resolution
25 Kilometers x 25 Kilometers
Spatial Reference System(s)
NSIDC EASE-Grid Global (EPSG:3410)
Location
GLOBAL
Coordinate System
CARTESIAN
Granule Spatial Representation
ORBIT
Temporal Extent
2012-07-02
Temporal Resolution
50 Minute
Concept ID
C3243533185-NSIDC_CPRD
Data State
COMPLETE
Number of Files/Granules
237848
Processing Level
2B
Published
Science Keywords
Brightness Temperature ,
Soil Moisture/Water Content ,
Vegetation Water Content

Citation

Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.

Copy Citation

Jackson, T., Chan, S., Bindlish, R., & Njoku, E. (2018). AMSR-E/AMSR2 Unified L2B Half-Orbit 25 km EASE-Grid Surface Soil Moisture, Version 1 [Data set]. NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/IKQ0G7ODMLC7 Date Accessed: 2026-04-27

Documents

Filters
Title Year Author Topic
Mapping global floods with 10 years of satellite radar data Misra, Amit, White, Kevin, Nsutezo, Simone Fobi, Straka, William, Lavista, Juan Vegetation Water Content, Soil Moisture/Water Content, Skin Temperature, Brightness Temperature
Soil Moisture Monitoring Method and Data Products: Current Research Liu, Ruihao, Chang, Cun, Zhong, Ruisen, Lu, Shiyang Surface Pressure, Heat Flux, Longwave Radiation, Shortwave Radiation, Surface Temperature, Humidity, Evapotranspiration, Surface Winds, Rain, Precipitation Rate, Snow, Soil Moisture/Water Content, Soil Temperature, Land Surface Temperature, Snow Water Equivalent, Runoff, Brightness Temperature, Vegetation Water Content
Global L-band equivalent AI-based vegetation optical depth dataset Skulovich, Olya, Li, Xiaojun, Wigneron, Jean-Pierre, Gentine, Pierre Brightness Temperature, Soil Moisture/Water Content, Vegetation Water Content, Brightness Temperature, Microwave Imagery
A Long-term Consistent Artificial Intelligence and Remote Sensing-based Soil Moisture Dataset Skulovich, Olya, Gentine, Pierre Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Brightness Temperature, Soil Moisture/Water Content, Vegetation Water Content, Brightness Temperature, Microwave Imagery
The Carbon Cycle Influence on Tornadoes Vegetation Water Content, Soil Moisture/Water Content, Skin Temperature, Air Temperature, Carbon Monoxide, Cloud Fraction, Cloud Height, Cloud Top Pressure, Cloud Top Temperature, Cloud Vertical Distribution, Emissivity, Geopotential Height, Methane, Outgoing Longwave Radiation, Atmospheric Ozone, Total Precipitable Water, Sea Surface Temperature, Surface Pressure, Surface Temperature, Sulfur Dioxide, Tropopause, Tropospheric Ozone, Upper Air Temperature, Water Vapor Profiles, Cloud Liquid Water/Ice, Land Use/Land Cover Classification, Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY, Brightness Temperature
Using Sentinel-1 data for monitoring of soil moisture Garkusha, Igor N., Hnatushenko, Volodymyr V., Vasyliev, Volodymyr V. Brightness Temperature, Soil Moisture/Water Content, Vegetation Water Content
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