A global urban microwave backscatter time series data set for 1993–2020 using ERS, QuikSCAT, and ASCAT data

Steve Frolking; Tom Milliman; Richa Mahtta; Aaron Paget; David G. Long; Karen C. Seto

doi:10.1038/s41597-022-01193-w

Scientific Data (Mar 2022)

A global urban microwave backscatter time series data set for 1993–2020 using ERS, QuikSCAT, and ASCAT data

Steve Frolking,
Tom Milliman,
Richa Mahtta,
Aaron Paget,
David G. Long,
Karen C. Seto

Affiliations

Steve Frolking: Institute for the Study of Earth, Oceans, and Space, University of New Hampshire
Tom Milliman: Institute for the Study of Earth, Oceans, and Space, University of New Hampshire
Richa Mahtta: Yale School of the Environment, 195 Prospect Street, Yale University
Aaron Paget: Department of Physical and Environmental Sciences, Concord University
David G. Long: Electrical and Computer Engineering Department, 450 Engineering Building, Brigham Young University
Karen C. Seto: Yale School of the Environment, 195 Prospect Street, Yale University

DOI: https://doi.org/10.1038/s41597-022-01193-w
Journal volume & issue: Vol. 9, no. 1
pp. 1 – 12

Abstract

Read online

Measurement(s) land surface microwave backscatter Technology Type(s) space-borne scatterometers Factor Type(s) urban land Sample Characteristic - Environment urban land Sample Characteristic - Location global

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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