辽宁省夜光遥感数据与各项社会参数相关性探究  

Correlation Research of Luminous Remote Sensing Data and Various Social Parameters in Liaoning Province

作　　者：杨月 Yang Yue(Liaoning Natural Resources Affairs Service Center,Liaoning Provincial Institute of Basic Surveying and Mapping,Jinzhou,Liaoning 121011,China)

机构地区：[1]辽宁省自然资源事务服务中心辽宁省基础测绘院,辽宁锦州121011

出　　处：《绿色科技》2023年第20期212-215,共4页Journal of Green Science and Technology

摘　　要：主要以辽宁省2018年珞珈一号夜光遥感影像为主要数据源,对影像进行预处理,按照行政区划成功提取了辽宁省14个市的夜光遥感数据。通过将夜光遥感数据与获取的辽宁省同期人口数据、生产总值、人均消费和在岗职工工资总额4项社会参数进行了比对。结果表明:夜光遥感数据与人口数据、生产总值、人均消费以及在岗职工工资总额相关系数分别为0.987、0.941、0.707和0.961,证明了夜光遥感数据与人口数据、生产总值、人均消费和在岗职工工资总额等社会参数均存在明显的正相关关系,可以用于服务社会经济参数估算、区域发展情况分析等研究。Using the 2018 Luojia No.1 night light remote sensing image of Liaoning Province as the main data source,this paper preprocesses the image,and successfully extracts night light remote sensing data from fourteen cities in Liaoning Province according to administrative divisions.This paper compares night light remote sensing data with four social parameters obtained from Liaoning Province during the same period,including population data,GDP,per capita consumption,and total wages of on-the-job employees.The results show that the correlation coefficients among night light remote sensing data and population data,gross domestic product,per capita consumption,and total wages of on-the-job employees are 0.987,0.941,0.707 and 0.961,respectively.This proves that night light remote sensing data has a significant positive correlation with social parameters such as population data,gross domestic product,per capita consumption,and total wages of on-the-job workers,which can be used to estimate social and economic parameters and analyze regional development.

关 键 词：珞珈一号 夜光遥感 人口估算 

分 类 号：F127[经济管理—世界经济]