SMAP-HydroBlocks, a 30-m satellite-based soil moisture dataset for the conterminous US

Noemi Vergopolan; Nathaniel W. Chaney; Ming Pan; Justin Sheffield; Hylke E. Beck; Craig R. Ferguson; Laura Torres-Rojas; Sara Sadri; Eric F. Wood

doi:10.1038/s41597-021-01050-2

Scientific Data (Oct 2021)

SMAP-HydroBlocks, a 30-m satellite-based soil moisture dataset for the conterminous US

Noemi Vergopolan,
Nathaniel W. Chaney,
Ming Pan,
Justin Sheffield,
Hylke E. Beck,
Craig R. Ferguson,
Laura Torres-Rojas,
Sara Sadri,
Eric F. Wood

Affiliations

Noemi Vergopolan: Princeton University, Department of Civil and Environmental Engineering
Nathaniel W. Chaney: Duke University, Department of Civil and Environmental Engineering
Ming Pan: Princeton University, Department of Civil and Environmental Engineering
Justin Sheffield: Southampton University, School of Geography and Environmental Science
Hylke E. Beck: GloH2O
Craig R. Ferguson: University at Albany, State University of New York, Atmospheric Sciences Research Center
Laura Torres-Rojas: Duke University, Department of Civil and Environmental Engineering
Sara Sadri: University of Saskatchewan, Global Institute for Water Security
Eric F. Wood: Princeton University, Department of Civil and Environmental Engineering

DOI: https://doi.org/10.1038/s41597-021-01050-2
Journal volume & issue: Vol. 8, no. 1
pp. 1 – 11

Abstract

Read online

Measurement(s) wetness of soil Technology Type(s) computational modeling technique Factor Type(s) geographic location • temporal interval Sample Characteristic - Environment land • surface soil Sample Characteristic - Location contiguous United States of America Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.14582265

Published in Scientific Data

ISSN: 2052-4463 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/sdata/

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