Mapping 10-m Industrial Lands across 1000+ Global Large Cities, 2017-2023

Area of Science:

• Environmental science
• Urban planning
• Geospatial analysis

Background:

• Industrial land is vital for economic growth but presents environmental challenges.
• Global, multi-year city-level industrial land use data are currently lacking.
• Monitoring industrial land is crucial for sustainable urban development.

Purpose of the Study:

• To create a high-resolution global dataset of industrial land use for 1,093 large cities.
• To track changes in industrial land use from 2017 to 2023.
• To provide a tool for assessing the environmental impact of industrialization.

Main Methods:

• Utilized multisource geospatial data and machine learning algorithms.
• Developed a 10-m resolution global dataset covering 1,093 cities (≥100 km²).
• Validated dataset accuracy (91.87%–92.21%) against official maps and CO2 emissions.

Main Results:

• A comprehensive 7-year (2017-2023) global dataset of industrial land use at 10-m resolution.
• High accuracy achieved, demonstrating reliability for urban environmental studies.
• Strong correlation (r=0.72) found between industrial land area per capita and CO2 emissions.

Conclusions:

• The dataset is a critical resource for understanding industrialization and urbanization impacts.
• Provides valuable insights for policymakers on balancing economic development and environmental sustainability.
• Enables effective tracking of industrial land use changes and their ecological consequences.