Mapping and evaluating the urbanization process in Northeast China using DMSP/OLS nighttime light data.

Area of Science:

• Earth and Environmental Sciences
• Urban Studies
• Remote Sensing

Background:

• Urbanization is a complex process requiring robust quantitative evaluation methods.
• Traditional urbanization metrics may not fully capture spatial expansion dynamics.
• Nighttime light data offers a unique perspective on human activity and urban development.

Purpose of the Study:

• To construct and validate an Urban Light Index (ULI) for analyzing urbanization.
• To evaluate the urbanization process in 34 prefecture-level cities in Northeast China.
• To explore the concept and classification of urban light space.

Main Methods:

• Development of the Urban Light Index (ULI) using DMSP/OLS Nighttime Light Data (1992-2010).
• Application of a unit circle urbanization evaluation model for comprehensive analysis.
• Classification of urban light space into four distinct types.
• Correlation analysis between ULI and traditional urbanization indicators.

Main Results:

• The ULI demonstrates a strong correlation with urban built-up area (R² = 0.8277).
• Temporal and spatial variations in urban light space accurately reflect urban sprawl characteristics.
• DMSP/OLS Nighttime Light Data is effective for extracting urban spatial information.

Conclusions:

• The ULI is a feasible and advantageous tool for quantitative urbanization assessment.
• Nighttime light data holds significant potential for advancing urbanization research.
• The study provides valuable insights into the morphologic changes and space-time evolution of urban areas.