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DOE OSTI · 3015559

LandCast Mosaic: Reconstructing Global Population Distributions, 1975-2025

Zimmer, Andrew [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (ORCID:0000000176838713)·Adams, Daniel [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (ORCID:0000000196950577)·Urban, Marie [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (ORCID:000000019571832X)
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Abstract

LandCast Mosaic (LCM) provides a global, high-resolution gridded population dataset spanning 1975–2025, representing annual, scenario-consistent estimates of daytime, nighttime, and ambient population distributions. LCM builds on the 2025 LandScan Mosaic (LSM) population data by backcasting to earlier years using historical changes in built-surface area derived from the Global Human Settlement Layer (GHSL) and authoritative population counts from international datasets. The workflow scales 2025 building-informed gridded population estimates according to observed changes in built surface, applies linear interpolation for intermediate years, and normalizes estimates to match administrative- and country-level totals. The resulting dataset offers consistent, globally gridded population estimates over fifty years, suitable for temporal analyses of population dynamics, disaster risk modeling, and urban planning applications.

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97 MATHEMATICS AND COMPUTING

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BibTeXRIS

Zimmer, Andrew [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (ORCID:0000000176838713), Adams, Daniel [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (ORCID:0000000196950577), Urban, Marie [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (ORCID:000000019571832X). 2026-01-01. LandCast Mosaic: Reconstructing Global Population Distributions, 1975-2025. https://doi.org/10.2172/3015559

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