A time series of urban extent in China using DSMP/OLS nighttime light data.

ABSTRACT: Urban extent data play an important role in urban management and urban studies, such as monitoring the process of urbanization and changes in the spatial configuration of urban areas. Traditional methods of extracting urban-extent information are primarily based on manual investigations and classifications using remote sensing images, and these methods have such problems as large costs in labor and time and low precision. This study proposes an improved, simplified and flexible method for extracting urban extents over multiple scales and the construction of spatiotemporal models using DMSP/OLS nighttime light (NTL) for practical situations. This method eliminates the regional temporal and spatial inconsistency of thresholding NTL in large-scale and multi-temporal scenes. Using this method,

SUBMITTER: Yao Y 

PROVIDER: S-EPMC5993125 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature