LandScan Global 30 Arcsecond Annual Global Gridded Population Datasets from 2000 to 2022

Area of Science:

• Geographic Information Science
• Demography
• Geospatial Data Science

Background:

• The LandScan Global (LSG) dataset is a key resource for understanding human population distribution.
• It has been utilized for over two decades by various organizations for risk assessment and emergency response.
• Recent advancements include the public release of LSG datasets from 2000 onwards.

Purpose of the Study:

• To detail the methodology behind the LandScan Global (LSG) dataset development.
• To highlight the application of geospatial science and machine learning in creating a global gridded population dataset.
• To showcase the utility of LSG data in diverse fields such as urban resiliency and disaster management.

Main Methods:

• Development of a multivariable dasymetric model to disaggregate census counts.
• Integration of ancillary data to refine population distribution within administrative boundaries.
• Application of geospatial science and machine learning techniques to geographic and demographic data.

Main Results:

• A 30 arcsecond resolution global gridded population dataset representing ambient human population distribution.
• A unique global dataset reflecting cultural and socioeconomic patterns, validated through manual checks.
• Successful application of LSG data in numerous disaster and geopolitical crisis scenarios.

Conclusions:

• The LandScan Global (LSG) dataset is a vital, publicly accessible resource for population distribution analysis.
• Its methodology, combining dasymetric modeling with geospatial and machine learning techniques, ensures high-quality data.
• LSG data significantly supports scientific and operational communities in areas including emergency management, disaster response, and human security.