Towards an Improved Large-Scale Gridded Population Dataset: A Pan-European Study on the Integration of 3D Settlement Data into Population Modelling

Towards an Improved Large-Scale Gridded Population Dataset: A Pan-European Study on the Integration of 3D Settlement Data into Population Modelling

Large-scale gridded population datasets available at the global or continental scale have become an important source of information in applications related to sustainable development. In recent years, the emergence of new population models has leveraged the inclusion of more accurate and spatially d...

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Bibliographic Details
Main Authors: Daniela Palacios-Lopez, Thomas Esch, Kytt MacManus, Mattia Marconcini, Alessandro Sorichetta, Greg Yetman, Julian Zeidler, Stefan Dech, Andrew J. Tatem, Peter Reinartz
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Remote Sensing
Subjects:
large-scale gridded population dataset
dasymetric modelling
accuracy assessment
world settlement Footprint-3D
random forest classifier
spatial metrics
Online Access:https://www.mdpi.com/2072-4292/14/2/325

Internet

https://www.mdpi.com/2072-4292/14/2/325

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