N: 85.044 S: -85.044 E: 180 W: -180
TABLE OF CONTENTS
Description
SMAP Level-4 (L4) surface and root zone soil moisture data are provided in three products:
- SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Geophysical Data (SPL4SMGP, DOI: 10.5067/KPJNN2GI1DQR)
- SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Analysis Update (SPL4SMAU, DOI: 10.5067/60HB8VIP2T8W)
- SMAP L4 Global 9 km EASE-Grid Surface and Root Zone Soil Moisture Land Model Constants (SPL4SMLM, DOI: 10.5067/KGLC3UH4TMAQ).
For each product, SMAP L-band brightness temperature data from descending and ascending half-orbit satellite passes (approximately 6:00 a.m. and 6:00 p.m. local solar time, respectively) are assimilated into a land surface model that is gridded using an Earth-fixed, global cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) projection.
Version Description
Changes to this version include revisions to the land surface modeling system, revisions to the parameters and parameterizations of the surface energy balance and the snow depletion curve, added x and y coordinate variables as well as an EASE-Grid 2.0 projection grid mapping variable, and bug fixes.
For the full major and minor version history, go to https://nsidc.org/data/smap/data_versions.
Product Summary
Platforms
Instruments
Spatial Extent
Spatial Resolution
9 Kilometers x 9 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 2020-08-27
Temporal Resolution
3 Hour
Concept ID
C2872856008-NSIDC_CPRD
Data State
DEPRECATED
Number of Files/Granules
0
Processing Level
4
Published
Updated
Science Keywords
Surface Soil Moisture
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
Citation Copied
Reichle, R., De Lannoy, G., Koster, R., Crow, W., Kimball, J., & Liu, Q. (2018). SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Geophysical Data, Version 4 [Dataset]. NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/KPJNN2GI1DQR Date Accessed: 2026-07-28
Reichle, R., De Lannoy, G., Koster, R., Crow, W., Kimball, J., & Liu, Q. (2018). SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Geophysical Data, Version 4 [Dataset]. NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/KPJNN2GI1DQR Date Accessed: 2026-07-28
Reichle, Rolf, et al. “SMAP L4 Global 3-Hourly 9 Km EASE-Grid Surface and Root Zone Soil Moisture Geophysical Data, Version 4.” NASA National Snow and Ice Data Center Distributed Active Archive Center, 2018, https://doi.org/10.5067/KPJNN2GI1DQR. Date Accessed: 2026-07-28
TABLE OF CONTENTS
Documents
USER'S GUIDE
DATA PRODUCT SPECIFICATION
PRODUCT QUALITY ASSESSMENT
Publications Citing This Dataset
Filters
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| Assessing the impact of hurricanes on the carbon cycle using SMAP satellite and in-situ observations: Role of land cover and precipitation | Ray, Ram L., Kumar, Nirmal, Gurau, Sanjita, Raza, Ali, Khan, Nawab, Singh, Sudhir Kumar, Kayode, Esther Tosin, He, Yiping | Respiration Rate, Primary Production, Carbon, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Surface Soil Moisture, Soil Organic Carbon (SOC) | |
| Usage of normalized soil moisture for improving the performance of rainfall thresholds along transportation corridors | Rahimikhameneh, Leila, Alvarez Reyna, Abraham, Montgomery, Jack, O'Donnell, Frances | Surface Soil Moisture | |
| Estimating root zone soil moisture in farmland by integrating | Bai, Xuqian, Fan, Shuailong, Li, Ruiqi, Dai, Tianjin, Li, Wangye, Ye, Sumeng, Qian, Long, Liu, Lu, Zhang, Zhitao, Chen, Haorui, Chen, Haiying, Xiang, Youzhen, Chen, Junying, Sun, Shikun | Reflectance, Anisotropy, Land Surface Temperature, Emissivity, Surface Soil Moisture | |
| Risk Assessment of the 2022 Nigerian Flood Event Using Remote Sensing | Abu, Itohan-Osa, Ibebuchi, Chibuike Chiedozie | Surface Soil Moisture | |
| Integrating hydrologic modeling and satellite remote sensing to assess the performance of sprinkler irrigation | Zheng, Chaolei, Jia, Li, Menenti, Massimo, Hu, Guangcheng, Lu, Jing, Chen, Qiting, Jiang, Min, Mancini, Marco, Corbari, Chiara | Surface Soil Moisture | |
| Integrating Precipitation and Soil Moisture Measurements to Understand Landslide Movements along Alabama Highways | Rahimikhameneh, Leila, Alvarez Reyna, Abraham, Montgomery, Jack, ODonnell, Frances | Surface Soil Moisture | |
| A Machine Learning-Based High-Resolution Soil Moisture Mapping and SpatialTemporal Analysis: The mlhrsm Package | Peng, Yuliang, Yang, Zhengwei, Zhang, Zhou, Huang, Jingyi | Surface Soil Moisture | |
| Geospatial Analysis For Determination Of Preferential Soil Conditions For The Desert Locust Oviposition | Dandabathula, Giribabu, Hari, Rohit, Ghosh, Koushik, Fararoda, Rakesh, Kumare, Darshana, Sasikumar, Amirthavarshini, Bera, Apurba Kumar, Srivastav, Sushil Kumar | Surface Soil Moisture | |
| High Frequency Land Backscatter Coefficients over Northern Australia and the Effects of Various Surface Properties | Edwards, Danielle J., Cervera, Manuel A., MacKinnon, Andrew D. | Surface Soil Moisture | |
| Interannual variability of terpenoid emissions in an alpine city | Kaser, Lisa, Peron, Arianna, Graus, Martin, Striednig, Marcus, Wohlfahrt, Georg, Juran, Stanislav, Karl, Thomas | Surface Soil Moisture | |
| Data-driven landslide nowcasting at the global scale | Stanley, Thomas A., Kirschbaum, Dalia B., Benz, Garrett, Emberson, Robert A., Amatya, Pukar M., Medwedeff, William, Clark, Marin K. | Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, Surface Soil Moisture | |
| Development of the global dataset of Wetland Area and Dynamics for Methane Modeling (WAD2M) | Zhang, Zhen, Fluet-Chouinard, Etienne, Jensen, Katherine, McDonald, Kyle, Hugelius, Gustaf, Gumbricht, Thomas, Carroll, Mark, Prigent, Catherine, Bartsch, Annett, Poulter, Benjamin | Surface Soil Moisture | |
| Diagnosing environmental controls on vegetation greening and browning trends over Alaska and Northwest Canada using complementary satellite observations | Kim, Youngwook, Kimball, John S., Parazoo, Nicholas, Kirchner, Peter | Surface Soil Moisture, Freeze/Thaw, Gross Primary Production (gpp), Heterotrophic Respiration (rh), NET ECOSYSTEM CO2 EXCHANGE (NEE), Soil Organic Carbon (SOC) | |
| Evaluation of 18 satellite-and model-based soil moisture products using in situ measurements from 826 sensors | Beck, Hylke E., Pan, Ming, Miralles, Diego G., Reichle, Rolf H., Dorigo, Wouter A., Hahn, Sebastian, Sheffield, Justin, Karthikeyan, Lanka, Balsamo, Gianpaolo, Parinussa, Robert M., van Dijk, Albert I. J. M., Du, Jinyang, Kimball, John S., Vergopolan, Noemi, Wood, Eric F. | 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, Precipitation, Precipitation Amount, Vegetation Water Content, Skin Temperature, Surface Soil Moisture | |
| Global Soil Water Estimates as Landslide Predictor: The Effectiveness of SMOS, SMAP, and GRACE Observations, Land Surface Simulations, and Data ... | Felsberg, Anne, De Lannoy, Gabrielle J. M., Girotto, Manuela, Poesen, Jean, Reichle, Rolf H., Stanley, Thomas | Surface Soil Moisture | |
| Expanding the application of soil moisture monitoring systems through regression-based transformation | Crow, Wade T., Reichle, Rolf H., Dong, Jianzhi | 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, Surface Soil Moisture | |
| Less atmospheric radiative heating by dust due to the synergy of coarser | Ito, Akinori, Adebiyi, Adeyemi A., Huang, Yue, Kok, Jasper F. | Land Use/Land Cover Classification, Surface Soil Moisture | |
| Soil respiration phenology improves modeled phase of terrestrial net ecosystem exchange in northern hemisphere | Endsley, K. Arthur, Kimball, John S., Reichle, Rolf H. | Land Use/Land Cover Classification, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Carbon, Nitrogen, Soil Water Holding Capacity, Soil Bulk Density, Soil Chemistry, Soil Classification, Soil Moisture/Water Content, Soil Horizons/Profile, Surface Soil Moisture | |
| The Value of L-Band Soil Moisture and Vegetation Optical Depth Estimates | Li, Bonan, Good, Stephen P., URycki, Dawn R. | Surface Soil Moisture | |
| The benefit of brightness temperature assimilation for the SMAP Level-4 surface and root-zone soil moisture analysis | Qiu, Jianxiu, Dong, Jianzhi, Crow, Wade T., Zhang, Xiaohu, Reichle, Rolf H., De Lannoy, Gabrielle J. M. | Brightness Temperature, Surface Soil Moisture, Terrain Elevation | |
| The contributions of gauge-based precipitation and SMAP brightness temperature observations to the skill of the SMAP Level-4 soil moisture product | Reichle, Rolf H., Liu, Qing, Ardizzone, Joseph V., Crow, Wade T., De Lannoy, Gabrielle J. M., Dong, Jianzhi, Kimball, John S., Koster, Randal D. | Soil Temperature, Soil Moisture/Water Content, Surface Soil Moisture, Brightness Temperature | |
| Using SMAP Level-4 soil moisture to constrain MOD16 evapotranspiration over the contiguous USA | Brust, Colin, Kimball, John S., Maneta, Marco P., Jencso, Kelsey, He, Mingzhu, Reichle, Rolf H. | Land Use/Land Cover Classification, Albedo, Anisotropy, Surface Soil Moisture | |
| Detecting hydrological droughts in ungauged areas from remotely sensed hydro-meteorological variables using rule-based models | Rhee, Jinyoung, Park, Kyungwon, Lee, Seongkyu, Jang, Sangmin, Yoon, Sunkwon | Land Surface Temperature, Emissivity, Evapotranspiration, Latent Heat Flux, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Surface Soil Moisture, Surface Pressure, Heat Flux, Longwave Radiation, Shortwave Radiation, Surface Temperature, Humidity, Surface Winds, Rain, Precipitation Rate, Snow, Soil Moisture/Water Content, Soil Temperature, Snow Water Equivalent, Runoff | |
| Estimating Global Evapotranspiration Using Smap Surface and Root-Zone Moisture Content | Kim, Youngwook, Park, Hotaek, Kimball, John S., Colliander, Andreas, Johnson, Jesse | 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, Surface Soil Moisture, Gross Primary Production (gpp), Heterotrophic Respiration (rh), NET ECOSYSTEM CO2 EXCHANGE (NEE), Soil Organic Carbon (SOC) | |
| 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 |