Open AccessMapping urbanization dynamic of mainland china using dmsp/ols night time light data
Author(s) -
Peng-Fei Xu,
Pingbin Jin,
Qiuming Cheng
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/569/1/012063
Subject(s) - urbanization , mainland china , trace (psycholinguistics) , china , china mainland , spatial ecology , geography , environmental science , ecology , biology , linguistics , philosophy , archaeology
Knowledge of spatial-temporal changes of urbanization is highly required nowadays and DMSP/OLS nigh time light provides new insights to detect changes of urbanization in the global and regional scale. However, most researches focus on the spatial pattern while ignoring the temporal dynamics of urbanization process. In this study, the raw Night time Light data (NTL) were calibrated to form a comparable time series. New metrics of GNTL (growth of NTL), max GNTL, min GNTL, mean GNTL, GNTL amplitude and accumulated GNTL derived from time series DMSP/OLS data were applied to detect the urbanization dynamics of Mainland China from 1992 to 2013.The results show that NTL-derived metrics are good indicators to trace the urban dynamics on the contexts of both spatial and temporal scales, from which the urbanization dynamic features can be detected. With the combined utilization of NTL and NTL derived metrics, 3 types of urbanization are summarized, namely constant rapid urbanization, active improving urbanization and steady improving urbanization. Classification methods were also applied to test the performance of NTL derived metrics for urban structure discrimination. The study reported here is a novel attempt to trace urbanization process using the NTL derived metrics, and we foresee its wide applications in future in relevant studies.