Title2018年中国基本城市土地利用类型制图(EULUC-China)(英文)
Other TitlesMapping essential urban land use categories in China(EULUC-China):preliminary results for 2018
Authors宫鹏
陈斌
李雪草
刘涵
王杰
白玉琪
陈镜明
陈曦
房磊
冯帅龙
冯永玖
巩雅丽
顾浩
黄华兵
黄晓春
焦洪赞
康应东
雷光斌
李爱农
李晓婷
李郇
李月臣
李志林
李忠德
刘冲
刘春霞
刘卯丑
刘曙光
毛婉柳
苗长虹
倪好
潘起胜
齐述华
任浙豪
单卓然
沈少青
石敏俊
宋祎萌
苏墨
孙凯平
孙博
孙芳蒂
孙健
孙林
孙文尧
田甜
童小华
曾羲星
屠滢
王红
王兰
王犀
王宗明
武廷海
颉耀文
杨健
杨军
袁满
岳文泽
曾宏达
张阔
张能
张涛
张宇
赵峰
郑伊辰
周启鸣
Nicholas Clinton
朱智良
徐冰
AffiliationMinistry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University
Tsinghua Urban Institute, Tsinghua University
Center for Healthy Cities, Institute for China Sustainable Urbanization, Tsinghua University
Department of Land, Air and Water Resources, University of California
Department of Geological and Atmospheric Sciences, Iowa State University
State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences
AI for Earth Laboratory, Cross-Strait Institute, Tsinghua University
International Institute for Earth System Sciences, Nanjing University
Research Center for Ecology and Environment of Central Asia, Chinese Academy of Sciences
Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences
National Engineering Laboratory for Applied Technology in Forestry & Ecology in South China, College of Life Science and Technology, Central South University of Forestry and Technology
College of Surveying & Geo-Informatics, Tongji University
Department of Urban Planning, College of Architecture and Urban Planning, Tongji University
Beijing Institute of Urban Planning
Department of Urban Planning, School of Urban Design, Wuhan University
College of Earth Sciences, Jilin University
Research Center for Digital Mountain and Remote Sensing Application, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences
Institute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University
Department of Urban and Regional Planning, School of Geography and Planning, Sun Yat-sen University
China Regional Coordinated Development and Rural Construction Institute, Sun Yat-sen University
School of Geographical Sciences, Southwest University
Chongqing Engineering Research Center for Remote Sensing Big Data Application, Southwest University
Department of Land Surveying and Geoinformatics, Hong Kong Polytechnic University
College of Geography and Marine Science, Yanbian University
Key Laboratory of Poyang Lake Wetland and Watershed Research (Ministry of Education), Jiangxi Normal University
School of Geography and Environment, Jiangxi Normal University
School of Geography and Tourism, Chongqing Normal University
Chongqing Key Laboratory of GIS Application, Chongqing Normal University
Department of Land Management, Zhejiang University
Key Research Institute of Yellow River Civilization and Sustainable Development, Henan University
Department of Urban Planning and Public Policy, Texas Southern University
School of Architecture and Urban Planning, Huazhong University of Science and Technology
Shenzhen Research Center of Digital City Engineering
School of Public Affairs, Zhejiang University
Department of Urban Planning and Design, Faculty of Architecture, University of Hong Kong
Shenzhen (Su Mo) School of Resource and Environment Science, Wuhan University
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences
School of Geographical Sciences, Guangzhou University
Harbin Haihang GIS Engineering, Ltd.
Geomatics College, Shandong University of Science and Technology
Department of Surveying Engineering and Geoinformatics, Cheng Kung University
School of Earth Science and Engineering, Hohai University
Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences
School of Architecture, Tsinghua University
College of Resources and Environment, Lanzhou University
Department of Forestry and Natural Resources, University of Kentucky
College of Geographical Sciences, Fujian Normal University
School of Urban and Environmental Sciences, Central China Normal University
Hong Kong Baptist University, KLN
Google LLC
US Geological Survey
Issue Date15-Feb-2020
PublisherScience Bulletin
Abstract土地利用是人类活动在土地空间的重要表现形式.由于数据和资金支持的限制,全国尺度城市土地利用的遥感制图研究仍相对缺乏.针对这一难题,本文提出了涵盖居住-休闲-交通-工业-办公五大类用地的"基本城市土地利用类型(EULUC)"的概念,并综合利用2018年的10米分辨率哨兵卫星数据, OpenStreetMap,珞珈一号夜间灯光数据,以及腾讯移动定位和高德兴趣点(POI)等社会大数据,实现了全国范围内城市土地利用制图.第一版中国基本城市土地利用制图结果共包括440798个地块(除道路用地), 5大一级类和12个二级类总体分类精度分别为61.2%和57.5%.这是中国首套结合遥感和众源大数据,以地块尺度生产的面向对象的高分辨率城市土地利用图.
URIhttp://hdl.handle.net/20.500.11897/581376
ISSN2095-9273
IndexedSCI(E)
EI
中国科学引文数据库(CSCD)
Appears in Collections:地球与空间科学学院

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