Title | 2018年中国基本城市土地利用类型制图(EULUC-China)(英文) |
Other Titles | Mapping 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 |
Affiliation | Ministry 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 Date | 15-Feb-2020 |
Publisher | Science 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. |
URI | http://hdl.handle.net/20.500.11897/581376 |
ISSN | 2095-9273 |
Indexed | SCI(E) EI 中国科学引文数据库(CSCD) |
Appears in Collections: | 地球与空间科学学院 |