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Published January 15, 2021 | Version v1
Dataset Open

SMAP-HydroBlocks: Hyper-resolution satellite-based soil moisture over the continental United States

  • 1. Department of Civil and Environmental Engineering, Princeton University
  • 2. Department of Civil and Environmental Engineering, Duke University
  • 3. School of Geography and Environmental Science, Southampton University
  • 4. Atmospheric Sciences Research Center, University at Albany, State University of New York, Albany

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 original dataset was developed over the continental United States at 30-m 3-hourly resolution (2015–2019). This dataset is an aggregated product and is available for download at a 1-km 6-hr resolution. Visualization is available at https://waterai.earth/smaphb/, and subsets of the original dataset are available on request from Noemi Vergopolan (noemi.v.rocha@gmail.com). The SMAP-HB dataset reports the top 5-cm surface soil moisture in volumetric units (m3/m3). The files have a Plate Carrée projection and are stored in netCDF4 format.

 

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

 

To download all the files via command line, please try zenodo_get:

pip install zenodo-get
zenodo_get 4441212

 

Files

README.txt

Files (33.7 GB)

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Additional details

Related works

Is documented by
Journal article: 10.1016/j.rse.2020.111740 (DOI)