Dataset Open Access
SMAP-HydroBlocks: Hyper-resolution satellite-based soil moisture over the continental United States
Noemi Vergopolan;
Nathaniel W. Chaney;
Ming Pan;
Justin Sheffield;
Hylke E. Beck;
Craig R. Ferguson;
Laura Torres-Rojas;
Eric F. Wood
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| Name | Size | |
|---|---|---|
|
SMAP-HB_1km_6h.zip
md5:15b3a8c7632c013b998c006e1b5b68bb |
31.5 GB | Download |
|
SMAP-HB_hru_6h.zip
md5:86636c9c54b084643c6bfe2e8b14abc9 |
33.8 GB | Download |
| All versions | This version | |
|---|---|---|
| Views | 1,889 | 1,505 |
| Downloads | 2,028 | 1,686 |
| Data volume | 54.7 TB | 54.5 TB |
| Unique views | 1,598 | 1,310 |
| Unique downloads | 674 | 544 |
- Publication date:
- August 18, 2021
- DOI:
-
- Keyword(s):
- SMAP, HydroBlocks, hyper-resolution, soil moisture, hydrology, remote sensing, satellite, machine learning
- Related identifiers:
- Documented by
- 10.1016/j.rse.2020.111740 (Journal article)
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International