4.6 Article

Urban development trend analysis and spatial simulation based on time series remote sensing data: A case study of Jinan, China

期刊

PLOS ONE
卷 16, 期 10, 页码 -

出版社

PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pone.0257776

关键词

-

资金

  1. General Program of National Natural Science Foundation of China [51878393]
  2. scientific Research Fund of Young Teachers in Shandong Jianzhu University [X19088Z0101]

向作者/读者索取更多资源

Analyzing urban development trends accurately reflects on-ground conditions and changes. Model simulations show a slow and stable urban growth trend in the future, demonstrating the prospects for environmental protection and conservative urban development.
Uncontrolled urban growth detracts from healthy urban development. Understanding urban development trends and predicting future urban spatial states is of great practical significance. In order to comprehensively analyze urbanization and its effect on vegetation cover, we extracted urban development trends from time series DMSP/OLS NTL and NDVI data from 2000 to 2015, using a linear model fitting method. Six urban development trend types were identified by clustering the linear model parameters. The identified trend types were found to accurately reflect the on-ground conditions and changes in the Jinan area. For example, a high-density, stable urban type was found in the city center while a stable dense vegetation type was found in the mountains to the south. The SLEUTH model was used for urban growth simulation under three scenarios built on the urban development analysis results. The simulation results project a gentle urban growth trend from 2015 to 2030, demonstrating the prospects for urban growth from the perspective of environmental protection and conservative urban development.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据