25 datasets found
  1. SMAP-Derived 1-km Downscaled Surface Soil Moisture Product, Version 1

    • nsidc.org
    • search.dataone.org
    Updated Apr 16, 2025
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    National Snow and Ice Data Center (2025). SMAP-Derived 1-km Downscaled Surface Soil Moisture Product, Version 1 [Dataset]. http://doi.org/10.5067/U8QZ2AXE5V7B
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    Dataset updated
    Apr 16, 2025
    Dataset authored and provided by
    National Snow and Ice Data Center
    Area covered
    WGS 84 / NSIDC EASE-Grid 2.0 Global EPSG:6933
    Description

    This data product contains global daily 1 km resolution surface soil moisture derived from the SMAP L-band radiometer. Specifically, MODIS land surface temperature data is used with the SMAP Enhanced L2radiometer Half-Orbit 9 km EASE-Grid Soil Moisture product in a downscaling algorithm to estimate soil moisture. The data set is validated by in situ soil moisture measurements from dense soil moisture networks representing different global land cover types.

  2. n

    SMAP L3 Radiometer Global Daily 36 km EASE-Grid Soil Moisture V009

    • cmr.earthdata.nasa.gov
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    not provided
    Updated Jun 10, 2025
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    (2025). SMAP L3 Radiometer Global Daily 36 km EASE-Grid Soil Moisture V009 [Dataset]. http://doi.org/10.5067/4XXOGX0OOW1S
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    not providedAvailable download formats
    Dataset updated
    Jun 10, 2025
    Time period covered
    Mar 31, 2015 - Present
    Area covered
    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).

  3. Soil Moisture Active Passive (SMAP) L4 Soil Moisture Ancillary Climatology...

    • nsidc.org
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    Updated Feb 15, 2024
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    National Snow and Ice Data Center (2024). Soil Moisture Active Passive (SMAP) L4 Soil Moisture Ancillary Climatology Files, Version 1 [Dataset]. http://doi.org/10.5067/P5SMH89AI6EC
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    Dataset updated
    Feb 15, 2024
    Dataset authored and provided by
    National Snow and Ice Data Center
    Description

    This ancillary SMAP product contains a static soil moisture climatology data set. Specifically, this data set includes root zone and profile soil moisture climatology files for percentile conversion and post-processing of Land Data Assimilation Systems (LDAS) output.

  4. SMAP Enhanced L3 Radiometer Global and Polar Grid Daily 9 km EASE-Grid Soil...

    • catalog.data.gov
    • nsidc.org
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    Updated Aug 22, 2025
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    NASA NSIDC DAAC (2025). SMAP Enhanced L3 Radiometer Global and Polar Grid Daily 9 km EASE-Grid Soil Moisture V006 [Dataset]. https://catalog.data.gov/dataset/smap-enhanced-l3-radiometer-global-and-polar-grid-daily-9-km-ease-grid-soil-moisture-v006
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    Dataset updated
    Aug 22, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    This enhanced 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) radiometer. This product is a daily composite of SMAP Level-2 (L2) soil moisture which is derived from SMAP Level-1C (L1C) interpolated brightness temperatures. Backus-Gilbert optimal interpolation techniques are used to extract information from SMAP antenna temperatures and convert them to brightness temperatures, which are posted to the 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) in a global cylindrical projection. As of 2021, the data are also posted to the Northern Hemisphere EASE-Grid 2.0, an azimuthal equal-area projection.

  5. n

    SMAP/Sentinel-1 L2 Radiometer/Radar 30-Second Scene 3 km EASE-Grid Soil...

    • cmr.earthdata.nasa.gov
    • search.dataone.org
    • +4more
    not provided
    Updated Jul 15, 2025
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    (2025). SMAP/Sentinel-1 L2 Radiometer/Radar 30-Second Scene 3 km EASE-Grid Soil Moisture V003 [Dataset]. http://doi.org/10.5067/ASB0EQO2LYJV
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    not providedAvailable download formats
    Dataset updated
    Jul 15, 2025
    Time period covered
    Mar 31, 2015 - Present
    Area covered
    Description

    This Level-2 (L2) soil moisture product provides estimates of land surface conditions retrieved by both the Soil Moisture Active Passive (SMAP) radiometer during 6:00 a.m. descending and 6:00 p.m. ascending half-orbit passes and the Sentinel-1A and -1B radar. SMAP L-band brightness temperatures and Copernicus Sentinel-1 C-band backscatter coefficients are used to derive soil moisture data, which are then resampled to an Earth-fixed, cylindrical 3 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0). While the 3 km data product has undergone validation, the 1 km product has not and should be used with caution.

  6. SMAP L4 Global 9 km EASE-Grid Surface and Root Zone Soil Moisture Land Model...

    • catalog.data.gov
    • datasets.ai
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    Updated Aug 22, 2025
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    NASA NSIDC DAAC (2025). SMAP L4 Global 9 km EASE-Grid Surface and Root Zone Soil Moisture Land Model Constants V007 [Dataset]. https://catalog.data.gov/dataset/smap-l4-global-9-km-ease-grid-surface-and-root-zone-soil-moisture-land-model-constants-v00-1ffbe
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    Dataset updated
    Aug 22, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    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/EVKPQZ4AFC4D) * SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Analysis Update (SPL4SMAU, DOI: 10.5067/LWJ6TF5SZRG3) * SMAP L4 Global 9 km EASE-Grid Surface and Root Zone Soil Moisture Land Model Constants (SPL4SMLM, DOI: 10.5067/KN96XNPZM4EG). 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.

  7. n

    CYGNSS Level 3 Soil Moisture Version 3.2

    • podaac.jpl.nasa.gov
    • cmr.earthdata.nasa.gov
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    Updated Jun 28, 2024
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    PO.DAAC (2024). CYGNSS Level 3 Soil Moisture Version 3.2 [Dataset]. http://doi.org/10.5067/CYGNU-L3S32
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    htmlAvailable download formats
    Dataset updated
    Jun 28, 2024
    Dataset provided by
    PO.DAAC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Aug 1, 2018 - Present
    Variables measured
    SOIL MOISTURE/WATER CONTENT
    Description

    The CYGNSS Level 3 Soil Moisture V3.2 dataset is provided by the CYGNSS Science Team of the University of Michigan. It estimates volumetric water content for soils between 0-5 cm depth at a 6-hour discretization for most of the subtropics from the V3.2 reflectivity measurements provided in the CYGNSS L1 SDR dataset (https://doi.org/10.5067/CYGNS-L1X32). CYGNSS was launched on 15 December 2016, it is a NASA Earth System Science Pathfinder Mission that was launched with the purpose of collecting the first frequent space‐based measurements of surface wind speeds in the inner core of tropical cyclones. Originally made up of a constellation of eight micro-satellites, the observatories provide nearly gap-free Earth coverage using an orbital inclination of approximately 35° from the equator, with a mean (i.e., average) revisit time of seven hours and a median revisit time of three hours.

    The soil moisture retrieval algorithm is an update of the previous version developed by UCAR-CU using a linear regression of CYGNSS angle-normalized effective surface reflectivity trained against collocated SMAP soil moisture during the calibration period 8/1/2018 to 11/15/2023. The data are archived in daily files in netCDF-4 format. Volumetric soil moisture water content in units of cm3/cm3 is provided with two gridding resolutions, 9x9 km and 36x36 km. The variable SM_subdaily contains data reported in six hour intervals. The variable SM_daily provides a daily average. The time series covers the period from August 2018 to present.

  8. n

    RSS SMAP Level 3 Sea Surface Salinity Standard Mapped Image Monthly V4.0...

    • podaac.jpl.nasa.gov
    • datasets.ai
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    PO.DAAC, RSS SMAP Level 3 Sea Surface Salinity Standard Mapped Image Monthly V4.0 Validated Dataset [Dataset]. http://doi.org/10.5067/SMP40-3SMCS
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    htmlAvailable download formats
    Dataset provided by
    PO.DAAC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Apr 1, 2015 - Present
    Variables measured
    SALINITY
    Description

    The version 4.0 SMAP-SSS level 3, monthly gridded product is based on the fourth release of the validated standard mapped sea surface salinity (SSS) data from the NASA Soil Moisture Active Passive (SMAP) observatory, produced operationally by Remote Sensing Systems (RSS) with a one-month latency. Enhancements with this release include: use of an improved 0.125 degree land correction table with land emission based on SMAP TB; replacement of the previous NCEP sea-ice mask with one based on RSS AMSR-2 and implementing a sea-ice threshold of 0.3% (gain weighted sea-ice fraction); revised solar flagging that depends on glint angle and wind speed; inclusion of estimated SSS-uncertainty; consolidation of both 40KM and 70KM SMAP-SSS datasets as variable fields in a single data product. Monthly data files for this product are averages over one-month time intervals. SMAP data begins on April 1,2015 and is ongoing, with a one-month latency in processing and availability. L3 products are global in extent and gridded at 0.25degree x 0.25degree with a default spatial feature resolution of approximately 70KM. Note that while a SSS 40KM variable is also included in the product, for most open ocean applications, the default SSS variable (70KM) is best used as they are significantly less noisy than the 40KM data. The SMAP satellite is in a near-polar orbit at an inclination of 98 degrees and an altitude of 685 km. It has an ascending node time of 6 pm and is sun-synchronous. With its 1000km swath, SMAP achieves global coverage in approximately 3 days, but has an exact orbit repeat cycle of 8 days. On board instruments include a highly sensitive L-band radiometer operating at 1.41GHz and an L-band 1.26GHz radar sensor providing complementary active and passive sensing capabilities. Malfunction of the SMAP scatterometer on 7 July, 2015, has necessitated the use of collocated wind speed, primarily from WindSat, for the surface roughness correction required for the surface salinity retrieval.

  9. n

    JPL SMAP Level 2B CAP Sea Surface Salinity V5.0 Validated Dataset

    • podaac.jpl.nasa.gov
    • s.cnmilf.com
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    Updated Feb 20, 2024
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    PO.DAAC (2024). JPL SMAP Level 2B CAP Sea Surface Salinity V5.0 Validated Dataset [Dataset]. http://doi.org/10.5067/SMP50-2TOCS
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    htmlAvailable download formats
    Dataset updated
    Feb 20, 2024
    Dataset provided by
    PO.DAAC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 31, 2015 - Present
    Variables measured
    SURFACE WINDS, SALINITY
    Description

    This is the PI-produced JPL SMAP-SSS V5.0, level 2B CAP, validated sea surface salinity (SSS) and extreme winds orbital/swath product from the NASA Soil Moisture Active Passive (SMAP) observatory. It is based on the Combined Active-Passive (CAP) retrieval algorithm developed at JPL originally in the context of Aquarius/SAC-D and now extended to SMAP. JPL SMAP V5.0 SSS is based on the newly released SMAP V5 Level-1 Brightness Temperatures (TB). An enhanced calibration methodology has been applied to the brightness temperatures, which improves absolute radiometric calibration and reduces the biases between ascending and descending passes. The improved SMAP TB Level 1 TB will enhance the use of SMAP Level-1 data for other applications, such as sea surface salinity and winds. The JPL SMAP-SSS L2B CAP product includes data for a range of parameters: derived SMAP sea surface salinity, SSS uncertainty and wind speed/direction data for extreme winds, brightness temperatures for each radiometer polarization, ancillary reference surface salinity, ice concentration, wind and wave height data, quality flags, and navigation data. Each data file covers one 98-minute orbit (15 files per day). Data begins on April 1,2015 and is ongoing, with a 3 day latency in processing and availability. Observations are global in extent and provided at 25km swath grid with an approximate spatial resolution of 60 km. The SMAP satellite is in a near-polar orbit at an inclination of 98 degrees and an altitude of 685 km. It has an ascending node time of 6 pm and is sun-synchronous. With its 1000km swath, SMAP achieves global coverage in approximately 3 days, but has an exact orbit repeat cycle of 8 days. On board Instruments include a highly sensitive L-band radiometer operating at 1.41GHz and an L-band 1.26GHz radar sensor providing complementary active and passive sensing capabilities. Malfunction of the SMAP scatterometer on 7 July, 2015, has necessitated the use of collocated wind speed for the surface roughness correction required for the surface salinity retrieval.

  10. E

    Soil moisture product merged from satellite and modelled data for Great...

    • catalogue.ceh.ac.uk
    • hosted-metadata.bgs.ac.uk
    • +1more
    zip
    Updated May 11, 2022
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    M. Tanguy; J. Peng; E. Robinson; E. Pinnington; J. Evans; R. Ellis; E. Cooper; J. Hannaford; E. Blyth; S. Dadson (2022). Soil moisture product merged from satellite and modelled data for Great Britain, April 2015-December 2017 [Dataset]. http://doi.org/10.5285/26b8ddd4-09fd-4e40-a556-6a8f3a7481ea
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    zipAvailable download formats
    Dataset updated
    May 11, 2022
    Dataset provided by
    NERC EDS Environmental Information Data Centre
    Authors
    M. Tanguy; J. Peng; E. Robinson; E. Pinnington; J. Evans; R. Ellis; E. Cooper; J. Hannaford; E. Blyth; S. Dadson
    Time period covered
    Apr 1, 2015 - Dec 31, 2017
    Area covered
    Dataset funded by
    Natural Environment Research Council
    Description

    A soil moisture product for Great Britain at two spatial resolutions: 12.5km and 1km, based on triple collocation error estimation and a least-squares merging scheme. Two remote sensing soil moisture datasets (one passive microwave dataset: SMAP, and one active microwave dataset: ASCAT) and a modelled soil moisture dataset (from JULES-CHESS land surface model) were combined to produce this dataset. The dataset covers the period going from 1st April 2015 to 31st December 2017, at a daily timestep, and is available at two spatial resolutions: 12.5km; and 1km, which has been obtained after resampling all three underlying datasets to a 1km resolution.

  11. SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture...

    • dataone.org
    • nsidc.org
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    Updated Sep 12, 2024
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    National Snow and Ice Data Center (2024). SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Analysis Update, Version 6 [Dataset]. http://doi.org/10.5067/6P2EV47VMYPC
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    Dataset updated
    Sep 12, 2024
    Dataset authored and provided by
    National Snow and Ice Data Center
    Time period covered
    Mar 31, 2015 - Nov 14, 2022
    Description

    This data set is retired and no longer available for download. We recommend using the newest version of SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Analysis Update (SPL4SMAU) data set as an alternative.

    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: 10.5067/9LNYIYOBNBR5) * SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Analysis Update (SPL4SMAU, DOI: 10.5067/0D8JT6S27BS9) * SMAP L4 Global 9 km EASE-Grid Surface and Root Zone Soil Moisture Land Model Constants (SPL4SMLM, DOI: 10.5067/5C36BVQZW28K). 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.

  12. s

    SMAP-HydroBlocks: Hyper-resolution satellite-based soil moisture over the...

    • eprints.soton.ac.uk
    Updated Aug 18, 2021
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    Ferguson, Craig R.; Torres-Rojas, Laura; Vergopolan, Noemi; Beck, Hylke E.; Chaney, Nathaniel W.; Wood, Eric F.; Pan, Ming; Sheffield, Justin (2021). SMAP-HydroBlocks: Hyper-resolution satellite-based soil moisture over the continental United States [Dataset]. http://doi.org/10.5281/zenodo.4441211
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    Dataset updated
    Aug 18, 2021
    Dataset provided by
    Zenodo
    Authors
    Ferguson, Craig R.; Torres-Rojas, Laura; Vergopolan, Noemi; Beck, Hylke E.; Chaney, Nathaniel W.; Wood, Eric F.; Pan, Ming; Sheffield, Justin
    Area covered
    United States, Contiguous United States
    Description

    SMAP-HydroBlocks (SMAP-HB) is a hyper-resolution satellite-based surface soil moisture product that combines NASA's Soil Moisture Active-Passive (SMAP) L3 Enhance product, hyper-resolution land surface modeling, radiative transfer modeling, machine learning, and in-situ observations. The dataset was developed over the continental United States at 30-m 6-hourly resolution (2015–2019), and it reports the top 5-cm surface soil moisture in volumetric units (m3/m3). This repository contains the following two versions of the SMAP-HydroBlocks dataset: SMAP-HB_hru_6h.zip: SMAP-HydroBlocks data in the Hydrological Response Unit (HRU) space. Storing the data in the HRU space enables the entire 30-m 6-h dataset to be compressed to 33.8 GB. A python script and instructions to post-process and remap the data from the HRU-space into geographic coordinates (latitude, longitude) is provided at GitHub. After post-processed, files are stored in netCDF4 format with a Plate Carrée projection. SMAP-HB_1km_6h.zip: SMAP-HydroBlocks data at 1-km 6-h resolution. This aggregated version is already post-processed, and thus it is already in geographic coordinates (latitude, longitude), stored in netCDF4 format, with a Plate Carrée projection, and comprising 31.5 GB of data. Different subsets of the original dataset can be made available on request from Noemi Vergopolan (noemi.v.rocha@gmail.com). Data visualization, updates, and more information is available at https://waterai.earth/smaphb/ Please cite the following paper when using the dataset in any publication: Vergopolan, N., Chaney, N. W., Beck, H. E., Pan, M., Sheffield, J., Chan, S., & Wood, E. F. (2020). Combining hyper-resolution land surface modeling with SMAP brightness temperatures to obtain 30-m soil moisture estimates. Remote Sensing of Environment, 242, 111740. https://doi.org/10.1016/j.rse.2020.111740 Vergopolan, N., Chaney, N.W., Pan, M. et al. SMAP-HydroBlocks, a 30-m satellite-based soil moisture dataset for the conterminous US. Sci Data 8, 264 (2021). https://doi.org/10.1038/s41597-021-01050-2 To download all the files via command line, please try zenodo_get: pip install zenodo-get zenodo_get 5206725

  13. SMAP L4 Global 9 km EASE-Grid Surface and Root Zone Soil Moisture Land Model...

    • search.dataone.org
    • nsidc.org
    Updated Sep 12, 2024
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    NASA National Snow and Ice Data Center Distributed Active Archive Center; National Snow and Ice Data Center (2024). SMAP L4 Global 9 km EASE-Grid Surface and Root Zone Soil Moisture Land Model Constants, Version 6 [Dataset]. http://doi.org/10.5067/MWAFPGI1KMMH
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    Dataset updated
    Sep 12, 2024
    Dataset provided by
    National Snow and Ice Data Center
    Authors
    NASA National Snow and Ice Data Center Distributed Active Archive Center; National Snow and Ice Data Center
    Time period covered
    Mar 31, 2015 - Nov 13, 2022
    Description

    This data set is retired and no longer available for download. We recommend using the newest version of SMAP L4 Global 9 km EASE-Grid Surface and Root Zone Soil Moisture Land Model Constants (SPL4SMLM) data set as an alternative. 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: 10.5067/9LNYIYOBNBR5) * SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Analysis Update (SPL4SMAU, DOI: 10.5067/0D8JT6S27BS9) * SMAP L4 Global 9 km EASE-Grid Surface and Root Zone Soil Moisture Land Model Constants (SPL4SMLM, DOI: 10.5067/5C36BVQZW28K). 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.

  14. NOAA Soil Moisture Products System (SMOPS) Daily Blended Products

    • ncei.noaa.gov
    Updated 2012
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    NOAA National Centers for Environmental Information (NCEI) (2012). NOAA Soil Moisture Products System (SMOPS) Daily Blended Products [Dataset]. https://www.ncei.noaa.gov/access/metadata/landing-page/bin/iso?id=gov.noaa.ncdc:C00994
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    Dataset updated
    2012
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    National Centers for Environmental Informationhttps://www.ncei.noaa.gov/
    Time period covered
    Mar 15, 2017 - Present
    Area covered
    Description

    The Soil Moisture Operational Products System (SMOPS) combines soil moisture retrievals from multiple satellite sensors to provide a global soil moisture map with high spatial coverage. SMOPS provides a seamless soil moisture map over global land from six satellites, including GPM, SMAP, GCOM-W1, SMOS, Metop-A, and Metop-B. The global soil moisture maps are generated in daily intervals with the most recent 24 hours of soil moisture from multiple retrieval algorithms, and mapped with a cylindrical projection on 0.25 x 0.25 degree grid. For each grid point of the map, the output includes soil moisture values as a percentage (vol/vol) of the surface (top 1-5 cm) soil layer with associated quality information and metadata. The daily product is available in netCDF file format. The archive period of record begins in March 2017. See the Details Section below for more information.

  15. n

    RSS SMAP Level 3 Sea Surface Salinity Standard Mapped Image 8-Day Running...

    • podaac.jpl.nasa.gov
    • s.cnmilf.com
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    Updated Aug 28, 2019
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    PO.DAAC (2019). RSS SMAP Level 3 Sea Surface Salinity Standard Mapped Image 8-Day Running Mean V4.0 Validated Dataset [Dataset]. http://doi.org/10.5067/SMP40-3SPCS
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    htmlAvailable download formats
    Dataset updated
    Aug 28, 2019
    Dataset provided by
    PO.DAAC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 27, 2015 - Present
    Variables measured
    SALINITY
    Description

    The version 4.0 SMAP-SSS level 3, 8-Day running mean gridded product is based on the fourth release of the validated standard mapped sea surface salinity (SSS) data from the NASA Soil Moisture Active Passive (SMAP) observatory, produced operationally by Remote Sensing Systems (RSS). Enhancements with this release include: use of an improved 0.125 degree land correction table with land emission based on SMAP TB; replacement of the previous NCEP sea-ice mask with one based on RSS AMSR-2 and implementing a sea-ice threshold of 0.3% (gain weighted sea-ice fraction); revised solar flagging that depends on glint angle and wind speed; inclusion of estimated SSS-uncertainty; consolidation of both 40KM and 70KM SMAP-SSS datasets as variable fields in a single data product. Daily data files for this product are based on SSS averages spanning an 8-day moving time window. SMAP data begins on April 1,2015 and is ongoing. L3 products are global in extent and gridded at 0.25degree x 0.25degree with a default spatial feature resolution of approximately 70KM. Note that while a SSS 40KM variable is also included in the product, for most open ocean applications, the default SSS variable (70KM) is best used as they are significantly less noisy than the 40KM data. The SMAP satellite is in a near-polar orbit at an inclination of 98 degrees and an altitude of 685 km. It has an ascending node time of 6 pm and is sun-synchronous. With its 1000km swath, SMAP achieves global coverage in approximately 3 days, but has an exact orbit repeat cycle of 8 days. On board instruments include a highly sensitive L-band radiometer operating at 1.41GHz and an L-band 1.26GHz radar sensor providing complementary active and passive sensing capabilities. Malfunction of the SMAP scatterometer on 7 July, 2015, has necessitated the use of collocated wind speed, primarily from WindSat, for the surface roughness correction required for the surface salinity retrieval.

  16. n

    UCAR-CU CYGNSS Level 3 Soil Moisture Version 1.0

    • podaac.jpl.nasa.gov
    • s.cnmilf.com
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    Updated Oct 16, 2020
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    PO.DAAC (2020). UCAR-CU CYGNSS Level 3 Soil Moisture Version 1.0 [Dataset]. http://doi.org/10.5067/CYGNU-L3SM1
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    htmlAvailable download formats
    Dataset updated
    Oct 16, 2020
    Dataset provided by
    PO.DAAC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 18, 2017 - Present
    Variables measured
    SOIL MOISTURE/WATER CONTENT
    Description

    The CYGNSS Level 3 Soil Moisture Product provides volumetric water content estimates for soils between 0-5 cm depth at a 6-hour discretization for most of the subtropics. The data were produced by CYGNSS investigators at the University Corporation for Atmospheric Research (UCAR) and the University Colorado at Boulder (CU), and derive from version 2.1 of the CYGNSS L1 SDR. The soil moisture algorithm uses collocated soil moisture retrievals from SMAP to calibrate CYGNSS observations from the same day. For a given location, a linear relationship between the SMAP soil moisture and CYGNSS reflectivity is determined and used to transform the CYGNSS observations into soil moisture. The data are archived in daily files in netCDF-4 format. Two soil moisture variables report the volumetric water content in units of cm3/cm3. The variable SM_subdaily includes up to four soil moisture estimates per day. Another variable SM_daily provides a daily average. The time series covers the period from March 2017 to present.

  17. d

    Data for: Downscaling of Satellite Remote Sensing Soil Moisture Products

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 22, 2023
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    Chen, Qingqing (2023). Data for: Downscaling of Satellite Remote Sensing Soil Moisture Products [Dataset]. http://doi.org/10.7910/DVN/1D7BNH
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    Dataset updated
    Nov 22, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Chen, Qingqing
    Description

    This dataset contains the data for Downscaling of Satellite Remote Sensing Soil Moisture Products in the Tibetan Plateau Based on the Random Forest Algorithm. Data includes shapefile of the TP(qzgy.zip),SMAP(SMAP_L3_SM_P_20171018_R16010_001.h5,SMAP_L3_SM_P_20171019_R16010_001.h5), MODIS(MCD12Q1,MOD13A2,MYD11A1), CLDAS(Z_NAFP_C_BABJ_20171019192333_P_CLDAS_RT_ASI_0P0625_HOR-SM000005-2017101918.nc), GLDAS(GLDAS_NOAH025_3H.A20171019.1800.021.nc4) , observation of soil moisture(SWC-010-17101918.000) and DEM data (1KM_qzgy_dem.tif),in which the DEM data is after preprocessing because its original is too large and others are original. The data is download from the NASA’s Land Processes Distributed Active Archive Center (LP DAAC), National Snow and Ice Data Center (NSIDC), Goddard Earth Sciences Data and Information Services Center (GES DISC) ,Geospatial Data Cloud site in Computer Network Information Center of Chinese Academy of Sciences ,China National Meteorological Information Center and CMA.

  18. SMAP L4 Global Daily 9 km EASE-Grid Carbon Net Ecosystem Exchange V007

    • catalog.data.gov
    • datasets.ai
    • +2more
    Updated Aug 22, 2025
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    NASA NSIDC DAAC (2025). SMAP L4 Global Daily 9 km EASE-Grid Carbon Net Ecosystem Exchange V007 [Dataset]. https://catalog.data.gov/dataset/smap-l4-global-daily-9-km-ease-grid-carbon-net-ecosystem-exchange-v007-224bd
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    Dataset updated
    Aug 22, 2025
    Dataset provided by
    National Snow and Ice Data Center
    NASAhttp://nasa.gov/
    Description

    The Level-4 (L4) carbon product (SPL4CMDL) provides global gridded daily estimates of net ecosystem carbon (CO2) exchange derived using a satellite data based terrestrial carbon flux model informed by the following: Soil Moisture Active Passive (SMAP) L-band microwave observations, land cover and vegetation inputs from the Moderate Resolution Imaging Spectroradiometer (MODIS), Visible Infrared Imaging Radiometer Suite (VIIRS), and the Goddard Earth Observing System Model, Version 5 (GEOS-5) land model assimilation system. Parameters are computed using an Earth-fixed, global cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) projection.

  19. n

    JPL SMAP Level 3 CAP Sea Surface Salinity Standard Mapped Image 8-Day...

    • podaac.jpl.nasa.gov
    • s.cnmilf.com
    • +4more
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    Updated Feb 8, 2022
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    PO.DAAC (2022). JPL SMAP Level 3 CAP Sea Surface Salinity Standard Mapped Image 8-Day Running Mean V5.0 Validated Dataset [Dataset]. http://doi.org/10.5067/SMP50-3TPCS
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    htmlAvailable download formats
    Dataset updated
    Feb 8, 2022
    Dataset provided by
    PO.DAAC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Apr 30, 2015 - Present
    Variables measured
    SALINITY, SURFACE WINDS
    Description

    This is the PI-produced JPL SMAP-SSS V5.0 CAP, 8-day running mean, level 3 mapped, sea surface salinity (SSS) product from the NASA Soil Moisture Active Passive (SMAP) observatory. It is based on the Combined Active-Passive (CAP) retrieval algorithm developed at JPL originally in the context of Aquarius/SAC-D and now extended to SMAP. JPL SMAP V5.0 SSS is based on the newly released SMAP V5 Level-1 Brightness Temperatures (TB). An enhanced calibration methodology has been applied to the brightness temperatures, which improves absolute radiometric calibration and reduces the biases between ascending and descending passes. The improved SMAP TB Level 1 TB will enhance the use of SMAP Level-1 data for other applications, such as sea surface salinity and winds. Daily data files for this L3 product are based on SSS averages spanning an 8-day moving time window. Associated file variables include: derived SSS with associated uncertainties and wind speed data from SMAP, ancillary ice concentration and HYCOM surface salinity data. SMAP data begins on April 1, 2015 and is ongoing, with a 7-day latency in processing and availability. L3 products are global in extent and gridded at 0.25degree x 0.25degree with an approximate spatial resolution of 60km. The SMAP satellite is in a near-polar orbit at an inclination of 98 degrees and an altitude of 685 km. It has an ascending node time of 6 pm and is sun-synchronous. With its 1000km swath, SMAP achieves global coverage in approximately 3 days, but has an exact orbit repeat cycle of 8 days. On board instruments include a highly sensitive L-band radiometer operating at 1.41GHz and an L-band 1.26GHz radar sensor providing complementary active and passive sensing capabilities. Malfunction of the SMAP scatterometer on 7 July, 2015, has necessitated the use of collocated wind speed for the surface roughness correction required for the surface salinity retrieval.

  20. SMAP L4 Global Daily 9 km EASE-Grid Carbon Net Ecosystem Exchange, Version 6...

    • nsidc.org
    • search.dataone.org
    Updated Aug 20, 2025
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    National Snow and Ice Data Center (2025). SMAP L4 Global Daily 9 km EASE-Grid Carbon Net Ecosystem Exchange, Version 6 [Dataset]. http://doi.org/10.5067/L6C9EY1O8VIC
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    Dataset updated
    Aug 20, 2025
    Dataset authored and provided by
    National Snow and Ice Data Center
    Area covered
    WGS 84 / NSIDC EASE-Grid 2.0 Global EPSG:6933
    Description

    This data set is retired and no longer available for download. We recommend using the newest version of SMAP L4 Global Daily 9 km EASE-Grid Carbon Net Ecosystem Exchange (SPL4CMDL) data set as an alternative.

    The Level-4 (L4) carbon product (SPL4CMDL) provides global gridded daily estimates of net ecosystem carbon (CO2) exchange derived using a satellite data based terrestrial carbon flux model informed by the following: Soil Moisture Active Passive (SMAP) L-band microwave observations, land cover and vegetation inputs from the Moderate Resolution Imaging Spectroradiometer (MODIS), Visible Infrared Imaging Radiometer Suite (VIIRS), and the Goddard Earth Observing System Model, Version 5 (GEOS-5) land model assimilation system. Parameters are computed using an Earth-fixed, global cylindrical 9 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0) projection.

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National Snow and Ice Data Center (2025). SMAP-Derived 1-km Downscaled Surface Soil Moisture Product, Version 1 [Dataset]. http://doi.org/10.5067/U8QZ2AXE5V7B
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SMAP-Derived 1-km Downscaled Surface Soil Moisture Product, Version 1

NSIDC-0779.001

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13 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Apr 16, 2025
Dataset authored and provided by
National Snow and Ice Data Center
Area covered
WGS 84 / NSIDC EASE-Grid 2.0 Global EPSG:6933
Description

This data product contains global daily 1 km resolution surface soil moisture derived from the SMAP L-band radiometer. Specifically, MODIS land surface temperature data is used with the SMAP Enhanced L2radiometer Half-Orbit 9 km EASE-Grid Soil Moisture product in a downscaling algorithm to estimate soil moisture. The data set is validated by in situ soil moisture measurements from dense soil moisture networks representing different global land cover types.

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