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作 者:张鹏[1,2,3] 林聪[1,2,3] 杜培军 王欣 唐鹏飞[1,2,3] ZHANG Peng;LIN Cong;DU Peijun;WANG Xin;TANG Pengfei(School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China;Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing 210023, China;Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources, Nanjing 210023, China)
机构地区:[1]南京大学地理与海洋科学学院,南京210023 [2]南京大学江苏省地理信息技术重点实验室,南京210023 [3]自然资源部国土卫星遥感应用重点实验室,南京210023
出 处:《国土资源遥感》2020年第3期157-164,共8页Remote Sensing for Land & Resources
基 金:国家自然科学基金重点项目“长时间序列遥感影像智能处理与地理过程时空分析”(编号:41631176)资助。
摘 要:工业化和城镇化进程的快速发展带来了一系列生态环境问题,严格的生态红线监管政策对于维护国家或区域生态安全具有重要意义。为满足生态红线精准监测的需求,以南京市生态红线区为研究区,利用北京二号高分辨率遥感影像开展了生态红线区地表覆盖精细分类与综合分析。针对北京二号数据的特点,设计了从数据预处理到面向对象分类的技术流程,获得了地表覆盖精细分类专题图,分类总体精度达到91.65%。统计结果显示南京市生态红线区主体由林地、耕地、水体3种地表覆盖类型构成,3种地类分别占到整个研究区的33%,21%和25%;表征人类活动的建筑物和人工堆掘地等地类占比达到6%和2%。实验结果表明,利用多时相北京二号影像可以监测到中低分辨率影像难以识别的地表覆盖空间细节变化,达到生态红线精准、动态监测目的。The rapid development of China’s industrialization and urbanization has brought about a series of ecological and environmental problems.China has proposed a new ecological redline policy(ERP),which plays an important role in protecting natural ecosystems and guaranteeing the national ecological safety.For accurate monitoring of ecological redline areas(ERAs),the high temporal-and-spatial resolution BJ-2 satellite imagery was used for land cover classification of the ERAs of Nanjing.Given the characteristics of BJ-2 satellite imagery,a workflow from data preprocessing to object-based land cover classification was established.The overall accuracy of the classification can reach to 91.65%.It is shown that the ERAs of Nanjing is mainly composed of three kinds of land cover types:forest,cultivated land and water,which occupy 33%,21%and 25%of the study area respectively.In addition,buildings and artificial pile digging account for 6%and 2%,which can represent human influence to a certain extent.The experimental results show that the multi-temporal BJ-2 imagery can be used to detect the detailed changes of land cover that are difficult to identify in low-and medium-resolution images,and achieve the purpose of dynamic and accurate monitoring of ERAs.
分 类 号:TP79[自动化与计算机技术—检测技术与自动化装置]
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