A near-global, high resolution land surface parameter dataset for the variable infiltration capacity model

Jacob R. Schaperow; Dongyue Li; Steven A. Margulis; Dennis P. Lettenmaier

doi:10.1038/s41597-021-00999-4

Scientific Data (Aug 2021)

A near-global, high resolution land surface parameter dataset for the variable infiltration capacity model

Jacob R. Schaperow,
Dongyue Li,
Steven A. Margulis,
Dennis P. Lettenmaier

Affiliations

Jacob R. Schaperow: Department of Civil and Environmental Engineering, University of California
Dongyue Li: Department of Civil and Environmental Engineering, University of California
Steven A. Margulis: Department of Civil and Environmental Engineering, University of California
Dennis P. Lettenmaier: Department of Geography, University of California

DOI: https://doi.org/10.1038/s41597-021-00999-4
Journal volume & issue: Vol. 8, no. 1
pp. 1 – 14

Abstract

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Measurement(s) vegetation characteristics • soil characteristics • elevation Technology Type(s) satellite imaging • soil sampling • digital curation Factor Type(s) geographic location Sample Characteristic - Environment vegetation layer • soil Sample Characteristic - Location global Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.14869500

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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