N: 85.044 S: -85.044 E: 180 W: -180
TABLE OF CONTENTS
Description
This Level-3 (L3) soil moisture product provides a composite of daily estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) passive microwave radiometer. SMAP L-band soil moisture data are resampled to a global, cylindrical 36 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0).
Version Description
Changes to this version include: (1) Level-1B water-corrected brightness temperatures are used in passive soil moisture retrieval. This procedure corrects for anomalous soil moisture values seen near coastlines in the previous version and should result in less rejected data due to waterbody contamination. Five new data fields accommodate this correction: grid_surface_status, surface_water_fraction_mb_h, surface_water_fraction_mb_v, tb_h_uncorrected, and tb_v_uncorrected. (2) Improved depth correction for effective soil temperature used in passive soil moisture retrieval; new results are captured in the surface_temperature data field. This correction reduces the dry bias seen when comparing SMAP data to in situ data from the core validation sites. (3) Frozen ground flag updated to reflect improved freeze/thaw detection algorithm, providing better accuracy; new results are captured in bit 7 of surface_flag.
Product Summary
Platforms
Instruments
Spatial Extent
Spatial Resolution
36 Kilometers x 36 Kilometers
Spatial Reference System(s)
WGS 84 / NSIDC EASE-Grid 2.0 Global (EPSG:6933)
Location
GLOBAL LAND
Coordinate System
CARTESIAN
Granule Spatial Representation
CARTESIAN
Temporal Extent
2015-03-31 to 2019-08-12
Temporal Resolution
1 Day
Concept ID
C4112448361-NSIDC_CPRD
Data State
DEPRECATED
Number of Files/Granules
0
Processing Level
3
Published
Updated
Science Keywords
Brightness Temperature
,
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.
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ONeill, P., Chan, S., Njoku, E., Jackson, T., & Bindlish, R. (2018). SMAP L3 Radiometer Global Daily 36 km EASE-Grid Soil Moisture, Version 5 [Dataset]. NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/ZX7YX2Y2LHEB Date Accessed: 2026-07-29
ONeill, P., Chan, S., Njoku, E., Jackson, T., & Bindlish, R. (2018). SMAP L3 Radiometer Global Daily 36 km EASE-Grid Soil Moisture, Version 5 [Dataset]. NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/ZX7YX2Y2LHEB Date Accessed: 2026-07-29
ONeill, Peggy, et al. “SMAP L3 Radiometer Global Daily 36 Km EASE-Grid Soil Moisture, Version 5.” NASA National Snow and Ice Data Center Distributed Active Archive Center, 2018, https://doi.org/10.5067/ZX7YX2Y2LHEB. Date Accessed: 2026-07-29
TABLE OF CONTENTS
Documents
ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD)
DATA PRODUCT SPECIFICATION
PRODUCT QUALITY ASSESSMENT
Publications Citing This Dataset
Filters
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| Exploring hydrological variable interconnections and enhancing predictions for datalimited basins through multitask learning | Ouyang, Wenyu, Gu, Xuezhi, Ye, Lei, Liu, Xiaoning, Zhang, Chi | Surface Pressure, Longwave Radiation, Shortwave Radiation, Surface Temperature, Evaporation, Humidity, Convection, Surface Winds, Rain, Land Surface Temperature, Evapotranspiration, Latent Heat Flux, Brightness Temperature, Soil Moisture/Water Content | |
| Machine Learning and Deep Learning Applications to GNSS-R for the Retrieval of Soil Moisture and Forest Biomass in View of HydroGNSS | Santi, Emanuele, Pettinato, Simone, Pierdicca, Nazzareno, Izadgoshasb, Hamed, Cordari, Flavio, Guerriero, Leila, Zadeh, Amirreza Khalil | Brightness Temperature, Soil Moisture/Water Content | |
| An Algorithm for Downscaling SMAP Soil Moisture to 3 km Using CYGNSS Observations | Zhu, Yifan, Guo, Fei, Yang, Wentao, Zhang, Zhiyu, Li, Zheng, Wu, Ziheng, Zhang, Xiaohong | Brightness Temperature, Surface Soil Moisture, Soil Moisture/Water Content | |
| Global soil moisture mapping at 5 km by combining GNSS reflectometry and machine learning in view of HydroGNSS | Santi, Emanuele, Comite, Davide, Dente, Laura, Guerriero, Leila, Pierdicca, Nazzareno, Clarizia, Maria Paola, Floury, Nicolas | Brightness Temperature, SIGMA NAUGHT, Surface Soil Moisture, Soil Moisture/Water Content | |
| Evapotranspiration determination with satellite and reanalysis data | Degano, Maria Florencia, Rivas, Raul Eduardo, Bayala, Martin Ignacio | Reflectance, Evapotranspiration, Latent Heat Flux, Albedo, Anisotropy, Brightness Temperature, Soil Moisture/Water Content | |
| Preferential Hydrologic States and Tipping Characteristics of Global Surface Soil Moisture | Sehgal, Vinit, Mohanty, Binayak P. | Brightness Temperature, Surface Soil Moisture, Soil Moisture/Water Content | |
| Avian diversity and function across the world's most populous cities | Richardson, James, Lees, Alexander C., Miller, Eliot T., Marsden, Stuart J. | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Brightness Temperature, Soil Moisture/Water Content | |
| Machine Learning Applications for Classification and Retrieval of Surface Parameters from GNSS-R | Santi, E., Pettinato, S., Comite, D., Pierdicca, N., Dente, L., Guerriero, L., Clarizia, M. P., Floury, Nicolas | Brightness Temperature, Soil Moisture/Water Content | |
| Smallholder maize yield estimation using satellite data and machine learning in Ethiopia | Guo, Zhe, Chamberlin, Jordan, You, Liangzhi | Brightness Temperature, Soil Moisture/Water Content | |
| SMAP soil moisture data assimilation impacts on water quality and crop yield predictions in watershed modeling | Pignotti, Garett, Crawford, Melba, Han, Eunjin, Williams, Mark R., Chaubey, Indrajeet | Brightness Temperature, Soil Moisture/Water Content | |
| Combining Cygnss and Machine Learning for Soil Moisture and Forest Biomass Retrieval in View of the ESA Scout Hydrognss Mission | Santi, E., Clarizia, M.P., Comite, D., Dente, L., Guerriero, L., Pierdicca, N., Floury, Nicolas | Brightness Temperature, Soil Moisture/Water Content | |
| rabpro: global watershed boundaries, river elevation profiles, and catchment statistics |
Schwenk, Jon, Zussman, Tal, Stachelek, Jemma, Rowland, Joel C. | Population Density, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, Brightness Temperature, Soil Moisture/Water Content | |
| Emulation of Community Land Model Version 5 (CLM5) to Quantify Sensitivity of Soil Moisture to Uncertain Parameters | Gao, Xiang, Avramov, Alexander, Saikawa, Eri, Schlosser, C. Adam | Brightness Temperature, Soil Moisture/Water Content | |
| Global Flash Drought Monitoring Using Surface Soil Moisture | Sehgal, Vinit, Gaur, Nandita, Mohanty, Binayak P. | Brightness Temperature, Soil Moisture/Water Content | |
| Global Surface Soil Moisture Drydown Patterns | Sehgal, Vinit, Gaur, Nandita, Mohanty, Binayak P. | Brightness Temperature, Soil Moisture/Water Content | |
| Challenging a Global Land Surface Model in a Local Socio-Environmental System | Dahlin, Kyla M., Akanga, Donald, Lombardozzi, Danica L., Reed, David E., Shirkey, Gabriela, Lei, Cheyenne, Abraha, Michael, Chen, Jiquan | Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Albedo, Anisotropy, Brightness Temperature, Soil Moisture/Water Content | |
| Combining hyper-resolution land surface modeling with SMAP brightness temperatures to obtain 30-m soil moisture estimates | Vergopolan, Noemi, Chaney, Nathaniel W., Beck, Hylke E., Pan, Ming, Sheffield, Justin, Chan, Steven, Wood, Eric F. | Surface Soil Moisture, Brightness Temperature, Soil Moisture/Water Content | |
| Plant water uptake thresholds inferred from satellite soil moisture | Bassiouni, Maoya, Good, Stephen P., Still, Christopher J., Higgins, Chad W. | Surface Soil Moisture, Brightness Temperature, Soil Moisture/Water Content, Terrain Elevation | |
| Improving SMAP freeze-thaw retrievals for pavements using effective soil temperature from GEOS-5: Evaluation against in situ road temperature data over the US | Kraatz, Simon, Jacobs, Jennifer M., Schroder, Ronny, Cho, Eunsang, Miller, Heather J., Vuyovich, Carrie M. | Brightness Temperature, SIGMA NAUGHT, Soil Moisture/Water Content, Transition Direction | |
| Monitoring freeze-thaw state by means of GNSS reflectometry: An analysis of TechDemoSat-1 data | Comite, Davide, Cenci, Luca, Colliander, Andreas, Pierdicca, Nazzareno | Brightness Temperature, Soil Moisture/Water Content | |
| Global Assessment of the SMAP Freeze/Thaw Data Record and Regional | Kim, Youngwook, Kimball, John S., Xu, Xiaolan, Dunbar, R. Scott, Colliander, Andreas, Derksen, Chris | Transition Direction, Brightness Temperature, Soil Moisture/Water Content, Reflectance, Total Surface Water, Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover, Land Use/Land Cover Classification, Soil Organic Carbon (SOC), Freeze/Thaw | |
| Gap filling of highresolution soil moisture for SMAP/sentinel1: a twolayer machine learningbased framework | Mao, Hanzi, Kathuria, Dhruva, Duffield, Nick, Mohanty, Binayak P. | Soil Moisture/Water Content, RADAR IMAGERY, Terrain Elevation, Digital Elevation/Terrain Model (DEM), Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Brightness Temperature, SIGMA NAUGHT, Land Use/Land Cover Classification, Land Surface Temperature, Emissivity | |
| Short-term and long-term surface soil moisture memory time scales are spatially anticorrelated at global scales | McColl, Kaighin A., He, Qing, Lu, Hui, Entekhabi, Dara | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, Brightness Temperature, Soil Moisture/Water Content | |
| A physically based soil moisture index from passive microwave brightness temperatures for soil moisture variation monitoring | Zeng, Jiangyuan, Chen, Kun-Shan, Cui, Chenyang, Bai, Xiaojing | Brightness Temperature, Soil Moisture/Water Content | |
| Analysis of CYGNSS data for soil moisture retrieval | Clarizia, Maria Paola, Pierdicca, Nazzareno, Costantini, Fabiano, Floury, Nicolas | Brightness Temperature, Soil Moisture/Water Content |
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