2018年中国基本城市土地利用类型制图(EULUC-China)（英文）

被引：67

作者：

宫鹏 ^{[1
,2
,3
]}

陈斌 ^{[4
]}

李雪草 ^{[5
]}

刘涵 ^{[1
]}

王杰 ^{[6
,7
]}

白玉琪 ^{[1
,2
,3
]}

陈镜明 ^{[8
]}

陈曦 ^{[9
]}

房磊 ^{[10
]}

冯帅龙 ^{[11
]}

冯永玖 ^{[12
]}

巩雅丽 ^{[12
]}

顾浩 ^{[13
]}

黄华兵 ^{[6
]}

黄晓春 ^{[14
]}

焦洪赞 ^{[15
]}

康应东 ^{[16
]}

雷光斌 ^{[17
]}

李爱农 ^{[17
]}

李晓婷 ^{[18
]}

李郇 ^{[19
,20
]}

李月臣 ^{[21
,22
]}

李志林 ^{[23
]}

李忠德 ^{[24
]}

刘冲 ^{[25
,26
]}

刘春霞 ^{[27
,28
]}

刘卯丑 ^{[11
]}

刘曙光 ^{[11
]}

毛婉柳 ^{[29
]}

苗长虹 ^{[30
]}

倪好 ^{[1
]}

潘起胜 ^{[13
,31
]}

齐述华 ^{[25
,26
]}

任浙豪 ^{[1
]}

单卓然 ^{[32
]}

沈少青 ^{[33
]}

石敏俊 ^{[34
]}

宋祎萌 ^{[35
]}

苏墨 ^{[36
]}

孙凯平 ^{[1
]}

孙博 ^{[37
]}

孙芳蒂 ^{[38
]}

孙健 ^{[39
]}

孙林 ^{[40
]}

孙文尧 ^{[14
]}

田甜 ^{[1
]}

童小华 ^{[12
]}

曾羲星 ^{[41
]}

屠滢 ^{[1
]}

王红 ^{[42
]}

机构：

[1] Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University

[2] Tsinghua Urban Institute, Tsinghua University

[3] Center for Healthy Cities, Institute for China Sustainable Urbanization, Tsinghua University

[4] Department of Land, Air and Water Resources, University of California

[5] Department of Geological and Atmospheric Sciences, Iowa State University

[6] State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences

[7] AI for Earth Laboratory, Cross-Strait Institute, Tsinghua University

[8] International Institute for Earth System Sciences, Nanjing University

[9] Research Center for Ecology and Environment of Central Asia, Chinese Academy of Sciences

[10] Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences

[11] 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

[12] College of Surveying & Geo-Informatics, Tongji University

[13] Department of Urban Planning, College of Architecture and Urban Planning, Tongji University

[14] Beijing Institute of Urban Planning

[15] Department of Urban Planning, School of Urban Design, Wuhan University

[16] College of Earth Sciences, Jilin University

[17] Research Center for Digital Mountain and Remote Sensing Application, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences

[18] Institute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University

[19] Department of Urban and Regional Planning, School of Geography and Planning, Sun Yat-sen University

[20] China Regional Coordinated Development and Rural Construction Institute, Sun Yat-sen University

[21] School of Geographical Sciences, Southwest University

[22] Chongqing Engineering Research Center for Remote Sensing Big Data Application, Southwest University

[23] Department of Land Surveying and Geoinformatics, Hong Kong Polytechnic University

[24] College of Geography and Marine Science, Yanbian University

[25] Key Laboratory of Poyang Lake Wetland and Watershed Research (Ministry of Education), Jiangxi Normal University

[26] School of Geography and Environment, Jiangxi Normal University

[27] School of Geography and Tourism, Chongqing Normal University

[28] Chongqing Key Laboratory of GIS Application, Chongqing Normal University

[29] Department of Land Management, Zhejiang University

[30] Key Research Institute of Yellow River Civilization and Sustainable Development, Henan University

[31] Department of Urban Planning and Public Policy, Texas Southern University

[32] School of Architecture and Urban Planning, Huazhong University of Science and Technology

[33] Shenzhen Research Center of Digital City Engineering

[34] School of Public Affairs, Zhejiang University

[35] Department of Urban Planning and Design, Faculty of Architecture, University of Hong Kong

[36] Shenzhen (Su Mo) School of Resource and Environment Science, Wuhan University

[37] Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences

[38] School of Geographical Sciences, Guangzhou University

[39] Harbin Haihang GIS Engineering, Ltd

[40] Geomatics College, Shandong University of Science and Technology

[41] Department of Surveying Engineering and Geoinformatics, Cheng Kung University

[42] School of Earth Science and Engineering, Hohai University

[43] Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences

[44] School of Architecture, Tsinghua University

[45] College of Resources and Environment, Lanzhou University

[46] Department of Forestry and Natural Resources, University of Kentucky

[47] College of Geographical Sciences, Fujian Normal University

[48] School of Urban and Environmental Sciences, Central China Normal University

[49] Hong Kong Baptist University, KLN

[50] Google LLC

来源：

Science Bulletin | 2020年 / 65卷 / 03期

关键词：

EULUC-China; 土地利用类型;

D O I：

暂无

中图分类号：

P283.7 [制图自动化]; F299.23 [城市经济管理];

学科分类号：

120405 ;

摘要：

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.

引用

页码：182 / 187

页数：6

共 5 条

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