Data Set ID:
AE_Land

AMSR-E/Aqua L2B Surface Soil Moisture, Ancillary Parms, & QC EASE-Grids, Version 3

This data set contains gridded estimates of soil moisture in the top 1 cm of soil, averaged over the AMSR-E retrieval footprint. Soil moisture is estimated from AMSR-E/Aqua L2A brightness temperature (Tb) measurements using two different approaches: the Normalized Polarization Difference algorithm (NPD) and the Single Channel Algorithm (SCA).

Ancillary data are also provided to help interpret the soil moisture observations, including vegetation roughness, observation counts for various surface conditions, and QA flags.

This is the most recent version of these data.

Version Summary:

* Soil moisture is now estimated using two different approaches - the Normalized Polarization Difference algorithm (NPD) and the Single Channel Algorithm (SCA) - to be consistent with the AU_Land soil moisture product. As a result, output parameters are now the same as AU_Land.

* File format changed to HDF-EOS5.

See also: https://nsidc.org/data/amsre/data_versions/index.html

COMPREHENSIVE Level of Service

Data: Data integrity and usability verified; data customization services available for select data

Documentation: Key metadata and comprehensive user guide available

User Support: Assistance with data access and usage; guidance on use of data in tools and data customization services

See All Level of Service Details

Parameter(s):
  • SOILS > SOIL MOISTURE/WATER CONTENT
  • VEGETATION > PLANT CHARACTERISTICS > VEGETATION WATER CONTENT
Data Format(s):
  • HDF-EOS5
Spatial Coverage:
N: 89.24, 
S: -89.24, 
E: 180, 
W: -180
Platform(s):Aqua
Spatial Resolution:
  • 25 km x 25 km
Sensor(s):AMSR-E
Temporal Coverage:
  • 1 June 2002 to 4 October 2011
Version(s):V3
Temporal Resolution50 minuteMetadata XML:View Metadata Record
Data Contributor(s):Steven Chan, Rajat Bindlish, Thomas Jackson

Geographic Coverage

Other Access Options

Other Access Options

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As a condition of using these data, you must cite the use of this data set using the following citation. For more information, see our Use and Copyright Web page.

Chan, S., R. Bindlish, and T. Jackson. 2021. AMSR-E/Aqua L2B Surface Soil Moisture, Ancillary Parms, & QC EASE-Grids, Version 3. [Indicate subset used]. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. doi: https://doi.org/10.5067/3JUPY6PAHHCP. [Date Accessed].

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FAQ

Why does the number of pixels per scan vary among different Level-2 AMSR-E data sets?
A typical AMSR-E swath width consists of approximately 2000 scans, with 243 pixels per scan for the 6.9 GHz to 36.5 GHz channels, and 486 pixels per scan for the 89.0 GHz channel. In 2002, the AMSR-E science team discovered distortion along the outer 23 to 24 pixels of each swath. Some algorithm... read more
How do I convert an HDF/HDF-EOS file into binary format?
To convert HDF or HDF-EOS files into binary format you can use the hdp utility, which is part of the HDF4 distribution available from the HDF Group. How you install HDF4 depends on your operating system. Full instructions for installing and using hdp on Mac/Unix and... read more

How To

Programmatic Data Access Guide
Data from the NASA National Snow and Ice Data Center Distributed Active Archive Center (NSIDC DAAC) can be accessed directly from our HTTPS file system or through our Application Programming Interface (API). Our API offers you the ability to order data using specific temporal and spatial filters... read more
Filter and order from a data set web page
Many NSIDC data set web pages provide the ability to search and filter data with spatial and temporal contstraints using a map-based interface. This article outlines how to order NSIDC DAAC data using advanced searching and filtering.  Step 1: Go to a data set web page This article will use the... read more