摘要
我国工业发展水平与经济增长速度存在直接关联,及时掌握高能耗工业工厂空间分布和运营情况的客观数据,对国家经济增长和产业结构改革具有重要意义。本文基于高时空分辨率的375 m的NPP-VIIRS主动热异常数据(NPP-VIIRS active fire/hotpot data),结合矢量数据密度分割算法,叠加POI数据和高分辨率遥感数据,形成2012年-2020年京津冀区域在营工业热源产品数据集(包含类别信息)。本数据集提供了工业热源数据的四角经纬度、类别代号、所属行政区、起止运行年份等信息。本数据可为产业改革成果和未来改革方向提供数据支撑。
There is a direct correlation between the level of industrial development and the rate of economic growth in China,and it is important to grasp timely the objective data on the spatial distribution and operation of high-energy-consuming industrial plants for national economic growth and industrial structure reform.In this paper,based our study on the NPP-VIIRS active fire/hotpot data(NPP-VIIRS active thermal anomaly data)with high spatial and temporal resolution of 375m and overlaid with POI data and high-resolution remote sensing data,we used the vector data density segmentation algorithm to produce a dataset of inoperation industrial heat source objects in Beijing-Tianjin-Hebei Region during 2012-2020.This dataset provides information,such as latitude and longitude of industrial heat sources data,category code,administrative region to which they belong,and the start and end years of operation.This dataset can provide data support for industrial reform results and future reform directions.
作者
隋欣
马彩虹
杨进
卢秉俊
李天柱
张鹏宇
SUI Xin;MA Caihong;YANG Jin;LU Bingjun;LI Tianzhu;ZHANG Pengyu(Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100094,P.R.China;Beijing Forestry University,Beijing 100083,P.R.China;Wuhan Department of Forestry,Wildfire control and Prevention Center,Wuhan 430021,P.R.China)
基金
国家重点基础研究发展计划项目(2020YFA0607503)
中国科学院青年创新促进会(2021126)。
关键词
工业热源
主动式热异常数据
京津冀
industry heat source
active thermal anomaly data
Beijing-Tianjin-Hebei
