• 主题
高级搜索  >
历史搜索 清空历史
首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >Street-Scale Analysis of Population Exposure to Light Pollution Based on Remote Sensing and Mobile Big Data—Shenzhen City as a Case
【2h】

Street-Scale Analysis of Population Exposure to Light Pollution Based on Remote Sensing and Mobile Big Data—Shenzhen City as a Case

机译：基于遥感和移动大数据的光污染人口街道规模分析-以深圳市为例

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Most studies on light pollution are based on light intensity retrieved from nighttime light (NTL) remote sensing with less consideration of the population factors. Furthermore, the coarse spatial resolution of traditional NTL remote sensing data limits the refined applications in current smart city studies. In order to analyze the influence of light pollution on populated areas, this study proposes an index named population exposure to light pollution (PELP) and conducts a street-scale analysis to illustrate spatial variation of PELP among residential areas in cites. By taking Shenzhen city as a case, multi-source data were combined including high resolution NTL remote sensing data from the Luojia 1-01 satellite sensor, high-precision mobile big data for visualizing human activities and population distribution as well as point of interest (POI) data. Results show that the main influenced areas of light pollution are concentrated in the downtown and core areas of newly expanded areas with obvious deviation corrected like traditional serious light polluted regions (e.g., ports). In comparison, commercial–residential mixed areas and village-in-city show a high level of PELP. The proposed method better presents the extent of population exposure to light pollution at a fine-grid scale and the regional difference between different types of residential areas in a city.
机译：大多数关于光污染的研究都是基于从夜间光（NTL）遥感中获取的光强度，而很少考虑人口因素。此外，传统NTL遥感数据的粗略空间分辨率限制了当前智能城市研究中的精细应用。为了分析光污染对人口稠密地区的影响，本研究提出了一个称为光污染人口（PELP）的指数，并进行了街道规模分析，以说明城市居民区PELP的空间变化。以深圳市为例，结合了多源数据，包括来自罗嘉1-01卫星传感器的高分辨率NTL遥感数据，用于可视化人类活动和人口分布以及关注点的高精度移动大数据（ POI）数据。结果表明，光污染的主要影响区域集中在新扩展区域的市中心和核心区域，并且与传统的严重轻度污染区域（例如港口）一样，已纠正了明显的偏差。相比之下，商住混合区和城中村的PELP水平较高。所提出的方法更好地展现了人口在精细网格规模下暴露于光污染的程度以及城市中不同类型的居住区之间的区域差异。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号