So2Sat POP - A Curated Benchmark Data Set for Population Estimation from Space on a Continental Scale

Sugandha Doda; Yuanyuan Wang; Matthias Kahl; Eike Jens Hoffmann; Kim Ouan; Hannes Taubenböck; Xiao Xiang Zhu

doi:10.1038/s41597-022-01780-x

Scientific Data (Nov 2022)

So2Sat POP - A Curated Benchmark Data Set for Population Estimation from Space on a Continental Scale

Sugandha Doda,
Yuanyuan Wang,
Matthias Kahl,
Eike Jens Hoffmann,
Kim Ouan,
Hannes Taubenböck,
Xiao Xiang Zhu

Affiliations

Sugandha Doda: Chair of Data Science in Earth Observation, Department of Aerospace and Geodesy, Technical University of Munich
Yuanyuan Wang: Chair of Data Science in Earth Observation, Department of Aerospace and Geodesy, Technical University of Munich
Matthias Kahl: Chair of Data Science in Earth Observation, Department of Aerospace and Geodesy, Technical University of Munich
Eike Jens Hoffmann: Chair of Data Science in Earth Observation, Department of Aerospace and Geodesy, Technical University of Munich
Kim Ouan: Chair of Data Science in Earth Observation, Department of Aerospace and Geodesy, Technical University of Munich
Hannes Taubenböck: German Remote Sensing Data Center, German Aerospace Center
Xiao Xiang Zhu: Chair of Data Science in Earth Observation, Department of Aerospace and Geodesy, Technical University of Munich

DOI: https://doi.org/10.1038/s41597-022-01780-x
Journal volume & issue: Vol. 9, no. 1
pp. 1 – 11

Abstract

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Measurement(s) human population distribution Technology Type(s) remote sensing Factor Type(s) remote sensing data Sample Characteristic - Location Europe

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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