AMSR-E/Aqua Daily L3 Surface Soil Moisture, Interpretive Parameters, & QC EASE-Grids
Entry ID: AE_Land3

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Summary
Abstract: The Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E) instrument on the NASA Earth Observing System (EOS) Aqua satellite provides global passive microwave measurements of terrestrial, oceanic, and atmospheric variables for the investigation of water and energy cycles. Soil moisture and other land surface variables are key variables in understanding land surface hydrology and in modeling ecosystems, weather, and climate. This gridded Level-3 land surface product (AE_Land3) includes daily measurements of surface soil moisture and vegetation/roughness water content interpretive information, as well as brightness temperatures and quality control variables. Ancillary data include time, geolocation, and quality assessment. Input brightness temperature data, corresponding to a 56 km mean spatial resolution, are resampled to a global cylindrical 25 km Equal-Area Scalable Earth Grid (EASE-Grid) cell spacing. Data are stored in HDF-EOS format, and are available from 19 June 2002 to the present via FTP.

Related URL
Link: VIEW PROJECT HOME PAGE
Description: AMSR-E Web site at NSIDC


Link: VIEW RELATED INFORMATION
Description: NASA AMSR-E Web site


Geographic Coverage
 N: 89.24 S: -89.24  E: 180.0  W: -180.0

Data Set Citation
Dataset Originator/Creator: Eni G. Njoku
Dataset Title: AMSR-E/Aqua Daily L3 Surface Soil Moisture, Interpretive Parameters, & QC EASE-Grids
Dataset Release Date: 2004-01-01
Dataset Release Place: Boulder, CO U.S.A.
Dataset Publisher: National Snow and Ice Data Center (NSIDC)
Version: 2
Other Citation Details: updated 2008 for Version 2
Online Resource: http://nsidc.org/data/ae_land3.html


Temporal Coverage
Start Date: 2002-06-18


Location Keywords
GEOGRAPHIC REGION > GLOBAL


Data Resolution
Latitude Resolution: 25 km
Longitude Resolution: 25 km
Temporal Resolution: daily


Science Keywords
BIOSPHERE >VEGETATION >PLANT CHARACTERISTICS >VEGETATION WATER CONTENT    [Definition]
LAND SURFACE >SOILS >SOIL MOISTURE/WATER CONTENT    [Definition]
SPECTRAL/ENGINEERING >MICROWAVE >BRIGHTNESS TEMPERATURE    [Definition]
SPECTRAL/ENGINEERING >MICROWAVE >MICROWAVE IMAGERY    [Definition]


ISO Topic Category
CLIMATOLOGY/METEOROLOGY/ATMOSPHERE


Platform
AQUA >Earth Observing System, AQUA    [Information]


Instrument
AMSR-E >Advanced Microwave Scanning Radiometer-EOS    [Information]


Project
EOS >Earth Observing System    [Information]
EOSDIS >Earth Observing System Data Information System    [Information]
ESIP >Earth Science Information Partners Program    [Information]
CWIC >CEOS WGISS Integrated Catalog    [Information]


Quality
Each HDF-EOS file contains core metadata with QA metadata flags that are set by the Science Investigator-led Processing System (SIPS) at the Global Hydrology and Climate Center (GHCC) prior to delivery to NSIDC. A separate metadata file in XML format is also delivered to NSIDC with the HDF-EOS file; it contains the same information as the core metadata. Three levels of quality assessment (QA) are conducted with the AMSR-E Level 2 and 3 products: automatic, operational, and science QA. If a product does not fail QA, it is ready to be used for higher-level processing, browse generation, active science QA, archive, and distribution. If a granule fails QA, SIPS does not send the granule to NSIDC until it is reprocessed. Level-3 products that fail QA are never delivered to NSIDC (Conway 2002).


Keywords
AE_Land3
AMSR-E
Aqua
BRIGHTNESS TEMPERATURES
DAAC
EASE-Grid
EOS PM-1
EOSDIS
Hydrology
Imagery
land surface temperatures
NASA
NSIDC
Passive Microwave Radiation
Radiance
Remote Sensing
Soil Water Content
Tbs
Vegetation Status
Vegetation Water Content


Data Set Progress
IN WORK


Data Center
NSIDC Distributed Active Archive Center    [Information]
Data Center URL: http://nsidc.org/daac/index.html
Dataset ID: AE_Land31

Data Center Personnel
Name: NSIDC USER SERVICES
Phone: +1 (303) 492-6199
Fax: +1 (303) 492-2468
Email: nsidc at nsidc.org
Contact Address:
National Snow and Ice Data Center
CIRES, 449 UCB
University of Colorado
City: Boulder
Province or State: CO
Postal Code: 80309-0449
Country: USA


National Snow and Ice Data Center    [Information]
Data Center URL: http://nsidc.org
Dataset ID: AE_Land31

Data Center Personnel
Name: NSIDC USER SERVICES
Phone: +1 (303) 492-6199
Fax: +1 (303) 492-2468
Email: nsidc at nsidc.org
Contact Address:
National Snow and Ice Data Center
CIRES, 449 UCB
University of Colorado
City: Boulder
Province or State: CO
Postal Code: 80309-0449
Country: USA



Distribution
Distribution_Media: FTP
Distribution_Size: approx. 60 MB per granule (i.e., per
Distribution_Format: HDF-EOS


Personnel
ENI G. NJOKU
Role: INVESTIGATOR
Phone: 818-354-3693
Email: njoku at lor.jpl.nasa.gov
Contact Address:
M/S 300-233
Jet Propulsion Laboratory
California Institute of Technology
4800 Oak Grove Drive
City: Pasadena
Province or State: CA
Postal Code: 91109-8099
Country: USA


NSIDC USER SERVICES
Role: TECHNICAL CONTACT
Phone: +1 (303) 492-6199
Fax: +1 (303) 492-2468
Email: nsidc at nsidc.org
Contact Address:
National Snow and Ice Data Center
CIRES, 449 UCB
University of Colorado
City: Boulder
Province or State: CO
Postal Code: 80309-0449
Country: USA


Publications/References
Conway, D. 2002. Advanced Microwave Scanning Radiometer - EOS Quality Assurance Plan. Huntsville, AL: Global Hydrology and Climate Center.

Njoku, Eni G, T. Chan, W. Crosson, and A. Limaye. 2004. Evaluation of the AMSR-E Data Calibration Over Land. Italian Journal of Remote Sensing 29 (4): 19 - 37.

Njoku, Eni G., T. L. Jackson, V. Lakshmi, T. Chan, and S.V. Nghiem. 2003. Soil Moisture Retrieval from AMSR-E. IEEE Transactions on Geoscience and Remote Sensing 41 (2): 215-229.

Njoku, Eni G, T. Chan, W. Crosson, and A. Limaye. 2004. Evaluation of the AMSR-E Data Calibration Over Land. Italian Journal of Remote Sensing. 30/31: 19-37.

Njoku, Eni G. and T. K. Chan, 2005. Vegetation and Surface Roughness Effects on AMSR-E Land Observations. Remote Sensing of Environment (in press).

Njoku, Eni G. 1999. AMSR Land Surface Parameters. Algorithm Theoretical Basis Document, Version 3.0. Pasadena, CA, USA: NASA Jet Propulsion Laboratory.

Creation and Review Dates
DIF Creation Date: 2004-02-24
Last DIF Revision Date: 2012-05-03

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