2012-2021年印度地区在营工业热源区域数据集  

A dataset of industrial heat sources in operation in India from 2012 to 2021

作　　者：廖芮琳 马彩虹 谢燕妹 隋欣 杨进 李天柱 张鹏宇 LIAO Ruilin;MA Caihong;XIE Yanmei;SUI Xin;YANG Jin;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;China University of Mining and Technology,Xuzhou 221116,P.R.China)

机构地区：[1]中国科学院空天信息创新研究院,北京100094 [2]北京林业大学,北京100083 [3]中国矿业大学,江苏徐州221116

出　　处：《中国科学数据(中英文网络版)》2025年第1期157-167,共11页China Scientific Data

基　　金：中国科学院青年创新促进会(2021126)。

摘　　要：印度近十年工业化进程发展迅速,已经完全进入了工业化建设阶段,因此及时掌握印度地区的工业化发展进程对于印度的工业化发展具有十分重要的意义。本研究基于375 m高时空分辨率的NPP-VIIRS主动式火点数据(NPP-VIIRS active fire/hotpot data),利用改进的K-means时空密度分割算法,结合夜间灯光数据过滤,并叠加Google Earth高分辨率影像数据验证,形成了印度地区2012–2021年间的工业热源对象数据集。经人工验证分析,本数据集识别准确率为93.32%,与同期数据相比识别准确率、个数、颗粒度和空间重叠度有显著提升。本数据集提供了工业热源的四角经纬度、区域内火点数量、所属行政区、起止运行年份等信息,对分析印度地区的工业化进程提供了科学可靠的数据支撑,同时也为印度地区未来发展和促进中印合作提供了一定的决策支持。s:In the past decade,India’s industrialization process has advanced rapidly and has fully entered the stage of industrialization construction.Therefore,timely understanding of the industrialization development process in the Indian is of great significance for the country’s continued industrial growth.Based on the 375-meter high spatiotemporal resolution NPP-VIIRS active fire/hotspot data,this study applies an improved K-means spatio-temporal density segmentation algorithm,combined with night-time light filtering,and overlays Google Earth high-resolution image data,resulting in a dataset of industrial heat sources in operation in India from 2012 to 202.After manual verification and analysis,the recognition accuracy of the dataset in the study is 93.32%,showing significant improvements in recognition accuracy,count,granularity,and spatial overlap,compared to the same period of data.The dataset provides key information,such as the four-corner latitude and longitude coordinates of industrial heat sources,fire point counts within the region,the administrative areas they belong to,and their operational start and end years.It can offer scientific and reliable data support for analyzing the industrialization process in Indian,and also provides certain decision-making support for the country’s future development and for promoting Sino-Indian cooperation.

关 键 词：工业热源对象 印度 夜光数据 主动式火点数据 改进K-means时空密度分割 

分 类 号：TK1[动力工程及工程热物理—热能工程] TP751[自动化与计算机技术—检测技术与自动化装置]