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Description

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.

Version Description

See https://nsidc.org/data/amsre/version-history

Product Summary

Platforms
Aqua
Instruments
AMSR-E
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
CARTESIAN
Temporal Extent
2002-06-19 to 2011-10-03
Temporal Resolution
1 Day
Concept ID
C3235723259-NSIDC_CPRD
Data State
COMPLETE
Number of Files/Granules
3366
Processing Level
3
Published
Science Keywords
Brightness Temperature ,
Microwave Imagery ,
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

Njoku, E. (2004). AMSR-E/Aqua Daily L3 Surface Soil Moisture, Interpretive Parameters, & QC EASE-Grids, Version 2 [Dataset]. NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/AMSR-E/AE_LAND3.002 Date Accessed: 2026-10-14

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Publications Citing This Dataset

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Title Authors Year Referenced Datasets
A fused soil moisture product integrating linear fusion method and error characteristics approach
  • Singh, Anuj, Dhanya, C.T., Saharia, M.
Soil Texture, Soil Moisture, and Sentinel-1 Backscattering: Towards the
  • Stanyer, Claire, Seco-Rizo, Irene, Atzberger, Clement, Marti-Cardona, Belen
The application of satellite sensors, current state of utilization, and sources of remote sensing dataset in hydrology for water resource management
  • Abegeja, Daniel
Global L-band equivalent AI-based vegetation optical depth dataset
  • Skulovich, Olya, Li, Xiaojun, Wigneron, Jean-Pierre, Gentine, Pierre
Intercomparison of very high-resolution surface soil moisture products over Catalonia (Spain)
  • Ouaadi, Nadia, Jarlan, Lionel, Le Page, Michel, Zribi, Mehrez, Paolini, Giovani, Ait Hssaine, Bouchra, Escorihuela, Maria Jose, Fanise, Pascal, Merlin, Olivier, Baghdadi, Nicolas, Boone, Aaron
Sentinel-1 Backscatter and Interferometric Coherence for Soil Moisture Retrieval in Winter Wheat Fields Within a Semiarid South-Mediterranean Climate: Machine Learning Versus Semiempirical Models
  • Ezzahar, Jamal, Chehbouni, Abdelghani, Ouaadi, Nadia, Madiafi, Mohammed, Said, Khabba, Er-Raki, Salah, Laamrani, Ahmed, Chakir, Adnane, Chabaane, Zohra Lili, Zribi, Mehrez
A Long-term Consistent Artificial Intelligence and Remote Sensing-based Soil Moisture Dataset
  • Skulovich, Olya, Gentine, Pierre
The Nile Waters: Weighed from Space
  • Awange, Joseph
Monitoring water storage decline over the Middle East
  • Khaki, Mehdi, Hoteit, Ibrahim
Modelling the Nile's Waters: Assimilation
  • Awange, Joseph
Altimetry-derived surface water data assimilation over the Nile Basin
  • Khaki, Mehdi, Awange, Joseph
Satellite Remote Sensing in Hydrological Data Assimilation
  • Khaki, Mehdi
Calibrating land hydrological models and enhancing their forecasting skills using an ensemble Kalman filter with one-step-ahead smoothing
  • Khaki, Mehdi, Ait-El-Fquih, Boujemaa, Hoteit, Ibrahim
Multi-mission satellite remote sensing data for improving land hydrological models via data assimilation
  • Khaki, M., Hendricks Franssen, H.-J., Han, S. C.
Monitoring of wheat crops using the backscattering coefficient and the interferometric coherence derived from Sentinel-1 in semi-arid areas
  • Ouaadi, Nadia, Jarlan, Lionel, Ezzahar, Jamal, Zribi, Mehrez, Khabba, Said, Bouras, Elhoussaine, Bousbih, Safa, Frison, Pierre-Louis
Estimation and evaluation of high spatial resolution surface soil moisture using multi-sensor multi-resolution approach
  • Koley, Swadhina, Jeganathan, C.
Assessing data assimilation frameworks for using multi-mission satellite products in a hydrological context
  • Khaki, M., Hoteit, I., Kuhn, M., Forootan, E., Awange, J.
Development of soil moisture profiles through coupled microwavethermal infrared observations in the southeastern United States
  • Mishra, Vikalp, Cruise, James F., Hain, Christopher R., Mecikalski, John R., Anderson, Martha C.
The Effect of Vegetation on the Remotely Sensed Soil Thermal Inertia and a Two-Source Normalized Soil Thermal Inertia Model for Vegetated Surfaces
  • Zhang, Renhua, Tian, Jing, Mi, Sujuan, Su, Hongbo, He, Honglin, Li, Zhaoliang, Liu, Kai
Multi-objective calibration of a hydrologic model using spatially distributed remotely sensed/in-situ soil moisture
  • Rajib, Mohammad Adnan, Merwade, Venkatesh, Yu, Zhiqiang
Emerging and potential future applications of satellite-based soil moisture products
  • Tebbs, E., Gerard, F., Petrie, A., De Witte, E.
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