基于NPP-VIIRS夜光数据的上海五大新城区域演化特征的提取和分析  

Extraction and Analysis of EVOLUTIONARY cHARACTER OF Regional Evolutionary Characteristics Five New Towns in Shanghai Based on NPP-VIIRS Luminous Data

作　　者：陈万思[1] 顾文丽 甘水玲 CHEN Wansi;GU Wenli;GAN Shuiling(East China University of Science and Technology,Shanghai,200237 China;Shanghai R&D Public Service Platform Management Centre,Shanghai,200031 China)

机构地区：[1]华东理工大学,上海200237 [2]上海市研发公共服务平台管理中心,上海200031

出　　处：《科技资讯》2025年第4期238-242,共5页Science & Technology Information

基　　金：2022年上海高校智库内涵建设项目“面对产学研深度融合的‘五个新城’人才聚集核心问题与对策”(项目编号:2022ZKNH031)。

摘　　要：五大新城是上海未来发展的关键区域。为了更好地规划新城的发展,需要准确掌握已有建成区的分布及其动态变化。传统方法难以明确地确定某地区建成区的分布及其随时间变化的过程,而夜间灯光数据提供了一种便捷、准确的解决方案。使用NPP-VIIRS卫星采集的夜间灯光数据标定各个时期上海五大新城的建成区分布,并通过不同年份的横向比较研究其发展过程。同时,利用夜间灯光数值的高低,比较了五大新城的整体发展状况与建成区核心区域的分布情况。Five new towns are key areas for the future development of Shanghai.In order to better plan the development of the new towns,it is necessary to accurately understand the distribution of existing built-up areas and their dynamic changes.While traditional methods make it difficult to clearly determine the distribution of built-up areas and their changes over time,nighttime lighting data provides a convenient and accurate solution.The nighttime lighting data collected by NPP-VIIRS satellite is used to calibrate the distribution of built-up areas in Shanghai's five major new towns over time,and to study their development process through horizontal comparisons in different years.At the same time,the overall development status of the five new towns and the distribution of the core areas of the built-up areas were compared by using the high and low nighttime light values.

关 键 词：空间识别 城市发展 上海五大新城 夜光遥感 

分 类 号：F124[经济管理—世界经济]