摘要
夜光遥感作为遥感应用研究的一个重要分支,近年来在自然科学和社会经济领域受到越来越广泛的关注。相比于普通遥感卫星影像,夜光遥感可更直接地反映人类活动的差异,广泛地应用于社会经济领域。目前基于夜光遥感的应用研究成果不断积累,但对成果的系统性总结与归纳研究存在覆盖面不全、时效性不强等不足。针对此问题,文章首先介绍了夜光遥感的观测平台与传感器基本参数;其次,对人口空间化、GDP及电力消耗量等社会经济参数估算,城市建成区提取、城市化体系发展等城市化过程监测,以及重大事件评估等方面归纳总结了夜光遥感数据的应用现状和特点;最后,从新型数据、多源数据结合、知识深度挖掘及学科渗透融合4个方面提出了夜光遥感数据的未来发展趋势与前景展望。
As an important branch of remote sensing application research,nighttime light remote sensing has attracted more and more attention in the fields of natural science and social economy in recent years.Compared with ordinary remote sensing satellite images,nighttime light remote sensing data more directly reflect the differences in human activities,so it is widely used in social and economic fields.At present,the application research results based on nighttime light remote sensing are accumulating,but the systematic summary and induction of the results are insufficient in coverage and timeliness.Aiming at the coverage of the application of nighttime light remote sensing is incomplete,firstly,this paper introduces the basic parameters of nighttime light remote sensing and observation platforms and sensors;secondly,it summarizes the application status and characteristics of nighttime light remote sensing data from the social and economic parameters such as population,GDP and electricity consumption estimate,the city proper extraction,monitoring system of urbanization development of the urbanization process,and significant event evaluation;finally,the future development trend and prospect of nighttime light remote sensing data are put forward from four aspects,which are new data,multi-source data combination,deep knowledge mining and subject penetration and integration.
作者
郑渊茂
何原荣
王晓荣
高元衡
ZHENG Yuanmao;HE Yuanrong;WANG Xiaorong;GAO Yuanheng(Big Data Institute of Digital Natural Disaster Monitoring in Fujian,Xiamen University of Technology,Xiamen,Fujian 361024,China;Key Lab of Urban Environment and Health,Institute of Urban Environment,Chinese Academy of Sciences,Xiamen,Fujian 361021,China;Guilin Tourism University,Guilin,Guangxi 541006,China)
出处
《遥感信息》
CSCD
北大核心
2020年第3期1-14,共14页
Remote Sensing Information
基金
国家社会科学基金项目(18BMZ129)
龙岩市科技计划对外合作项目(2018LYF7005)
数字福建自然灾害监测大数据研究所开放基金项目(NDMBD2018004)。