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Description

This ancillary SMAP product contains more than 50 data sets. These data sets contain the inputs necessary to create SMAP products from raw instrument counts, such as permanent masks (land, water, forest, urban, mountain, etc.), the grid cell average elevation and slope derived from a Digital Elevation Model (DEM), permanent open water fraction, soils information (primarily sand and clay fraction), vegetation parameters, and surface roughness parameters.

Version Description

Initial release

Product Summary

Platforms
NOT APPLICABLE
Instruments
NOT APPLICABLE
Spatial Extent

N: 86.4 S: -86.4 E: 180 W: -180

Location
GLOBAL LAND
Coordinate System
CARTESIAN
Granule Spatial Representation
NO_SPATIAL
Temporal Extent
2015-01-14 to Present
Concept ID
C3412875276-NSIDC_CPRD
Data State
ACTIVE
Number of Files/Granules
3535
Processing Level
NA
Published
Science Keywords
Digital Elevation/Terrain Model (DEM) ,
Land Use/Land Cover Classification ,
Normalized Difference Vegetation Index (NDVI) ,
Soil Classification ,
Soil Texture ,
Surface Roughness

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

Peng, J., Mohammed, P., Chaubell, J., Chan, S., Kim, S., Das, N., Dunbar, S., Bindlish, R., & Xu, X. (2019). Soil Moisture Active Passive (SMAP) L1-L3 Ancillary Static Data, Version 1 [Data set]. NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/HB8BPJ13TDQJ Date Accessed: 2026-05-06

Documents

Publications Citing This Dataset

Filters
Title Year Author Topic
Comparison of Machine Learning Algorithms for Simulating Brightness Temperature Using Data from the Tianjun Soil Moisture Observation Network Lv, Shaoning, Liu, Zixi, Wen, Jun Digital Elevation/Terrain Model (DEM), Land Use/Land Cover Classification, Normalized Difference Vegetation Index (NDVI), Soil Classification, Soil Texture, Surface Roughness
Nonlinear Soil Moisture Loss Function Reveals Vegetation Responses to Water Availability Araki, Ryoko, Morgan, Bryn E., McMillan, Hilary K., Caylor, Kelly K. Digital Elevation/Terrain Model (DEM), Land Use/Land Cover Classification, Normalized Difference Vegetation Index (NDVI), Soil Classification, Soil Texture, Surface Roughness
Sensitivity study of multi-constellation GNSS-R to soil moisture and surface roughness using FY-3E GNOS-II data Ma, Zhongmin, Camps, Adriano, Park, Hyuk, Zhang, Shuangcheng, Li, Xiaojun, Wigneron, Jean-Pierre Digital Elevation/Terrain Model (DEM), Land Use/Land Cover Classification, Normalized Difference Vegetation Index (NDVI), Soil Classification, Soil Texture, Surface Roughness
Scattering Matrix Retrieval Using Full Polarimetric GNSS-R Munoz-Martin, Joan Francesc, Rodriguez-Alvarez, Nereida, Bosch-Lluis, Xavier, Oudrhiri, Kamal Digital Elevation/Terrain Model (DEM), Land Use/Land Cover Classification, Normalized Difference Vegetation Index (NDVI), Soil Classification, Soil Texture, Surface Roughness
From field observations to temporally dynamic soil surface roughness retrievals in the US Corn Belt Walker, Victoria A., Wallace, Vivian, Yildirim, Enes, Eichinger, William E., Cosh, Michael H., Hornbuckle, Brian K. Digital Elevation/Terrain Model (DEM), Land Use/Land Cover Classification, Normalized Difference Vegetation Index (NDVI), Soil Classification, Soil Texture, Surface Roughness
Using Lidar Digital Elevation Models for Reflectometry Land Applications Hodges, Erik, Campbell, James D., Melebari, Amer, Bringer, Alexandra, Johnson, Joel T., Moghaddam, Mahta Soil Temperature, Soil Moisture/Water Content, Digital Elevation/Terrain Model (DEM), Land Use/Land Cover Classification, Normalized Difference Vegetation Index (NDVI), Soil Classification, Soil Texture, Surface Roughness
A Deep-Learning Approach to Soil Moisture Estimation with GNSS-R Roberts, Thomas Maximillian, Colwell, Ian, Chew, Clara, Lowe, Stephen, Shah, Rashmi Digital Elevation/Terrain Model (DEM), Land Use/Land Cover Classification, Normalized Difference Vegetation Index (NDVI), Soil Classification, Soil Texture, Surface Roughness, SENSOR COUNTS
Intercomparison of electromagnetic scattering models for delay-Doppler maps along a CYGNSS land track with topography Campbell, James D., Akbar, Ruzbeh, Bringer, Alexandra, Comite, Davide, Dente, Laura, Gleason, Scott T., Guerriero, Leila, Hodges, Erik, Johnson, Joel T., Kim, Seung-Bum, Melebari, Amer, Pierdicca, Nazzareno, Ruf, Christopher S., Tsang, Leung, Wang, Tianlin, Xu, Haokui, Zhu, Jiyue, Moghaddam, Mahta Soil Temperature, Soil Moisture/Water Content, SIGMA NAUGHT, Digital Elevation/Terrain Model (DEM), Land Use/Land Cover Classification, Normalized Difference Vegetation Index (NDVI), Soil Classification, Soil Texture, Surface Roughness, Radar Cross-Section, Radar Reflectivity, Flight Data Logs, Radar Cross-Section, Radar Reflectivity
Estimating inundation extent using CYGNSS data: A conceptual modeling study Chew, Clara, Small, Eric Digital Elevation/Terrain Model (DEM), Land Use/Land Cover Classification, Normalized Difference Vegetation Index (NDVI), Soil Classification, Soil Texture, Surface Roughness
Seasonal Evaluation of SMAP Soil Moisture in the U.S. Corn Belt Walker, Victoria A., Hornbuckle, Brian K., Cosh, Michael H., Prueger, John H. Digital Elevation/Terrain Model (DEM), Land Use/Land Cover Classification, Normalized Difference Vegetation Index (NDVI), Soil Classification, Soil Texture, Surface Roughness
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