兰州大学机构库
Mapping essential urban land use categories in China (EULUC-China): preliminary results for 2018
2020
Source PublicationScience Bulletin
ISSN20959281
Volume65Issue:3Pages:182-187
AbstractLand use reflects human activities on land. Urban land use is the highest level human alteration on Earth, and it is rapidly changing due to population increase and urbanization. Urban areas have widespread effects on local hydrology, climate, biodiversity, and food production [1,2]. However, maps, that contain knowledge on the distribution, pattern and composition of various land use types in urban areas, are limited to city level. The mapping standard on data sources, methods, land use classification schemes varies from city to city, due to differences in financial input and skills of mapping personnel. To address various national and global environmental challenges caused by urbanization, it is important to have urban land uses at the national and global scales that are derived from the same or consistent data sources with the same or compatible classification systems and mapping methods. This is because, only with urban land use maps produced with similar criteria, consistent environmental policies can be made, and action efforts can be compared and assessed for large scale environmental administration. However, despite of the fact that a number of urban-extent maps exist at global scales [3,4], more detailed urban land use maps do not exist at the same scale. Even at big country or regional levels such as for the United States, China and European Union, consistent land use mapping efforts are rare [5,6](e.g., https://sdi4apps.eu/open_land_use/).
DOI10.1016/j.scib.2019.12.007
Indexed BySCIE ; CSCD ; EI
Language英语
Funding ProjectNational Basic Research Program of China (973 Program)[2016YFA0600104] ; Cyrus Tang Foundation[] ; [] ; [] ; [] ; [] ; National Natural Science Foundation of China[41471419] ; Fundamental Research Funds for the Central Universities[CCNU19TD002]
WOS Research AreaGeology
WOS SubjectGEOSCIENCES MULTIDISCIPLINARY
WOS IDWOS:000513623200006
CSCD IDCSCD:6691568
PublisherElsevier B.V.
EI Accession Number20200107963282
Original Document TypeJournal article (JA)
Citation statistics
Cited Times:58[WOS]   [WOS Record]     [Related Records in WOS]
Cited Times:13[CSCD]   [CSCD Record]
Document Type期刊论文
Identifierhttp://ir.lzu.edu.cn/handle/262010/416917
Collection兰州大学
Corresponding AuthorGong, Peng
Affiliation1.Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing; 100084, China
2.Tsinghua Urban Institute, Tsinghua University, Beijing; 100084, China
3.Center for Healthy Cities, Institute for China Sustainable Urbanization, Tsinghua University, Beijing; 100084, China
4.Department of Land, Air and Water Resources, University of California, Davis; CA; 95616-8627, United States
5.Department of Geological and Atmospheric Sciences, Iowa State University, Ames; IA; 50011, United States
6.State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing; 100101, China
7.AI for Earth Laboratory, Cross-Strait Institute, Tsinghua University, Beijing; 100084, China
8.International Institute for Earth System Sciences, Nanjing University, Nanjing; 210093, China
9.Research Center for Ecology and Environment of Central Asia, Chinese Academy of Sciences, Urumchi; 830011, China
10.Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang; 110016, China
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, Changsha; 410004, China
12.College of Surveying & Geo-Informatics, Tongji University, Shanghai; 200092, China
13.Department of Urban Planning, College of Architecture and Urban Planning, Tongji University, Shanghai; 200092, China
14.Beijing Institute of Urban Planning, Beijing; 100045, China
15.Department of Urban Planning, School of Urban Design, Wuhan University, Wuhan; 430072, China
16.College of Earth Sciences, Jilin University, Changchun; 130061, China
17.Research Center for Digital Mountain and Remote Sensing Application, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu; 610041, China
18.Institute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University, Beijing; 100871, China
19.Department of Urban and Regional Planning, School of Geography and Planning, Sun Yat-sen University, Guangzhou; 510275, China
20.China Regional Coordinated Development and Rural Construction Institute, Sun Yat-sen University, Guangzhou; 510275, China
21.School of Geographical Sciences, Southwest University, Chongqing; 400715, China
22.Chongqing Engineering Research Center for Remote Sensing Big Data Application, Southwest University, Chongqing; 400715, China
23.Department of Land Surveying and Geoinformatics, Hong Kong Polytechnic University, Hong Kong
24.College of Geography and Marine Science, Yanbian University, Hunchun; 133300, China
25.Key Laboratory of Poyang Lake Wetland and Watershed Research (Ministry of Education), Jiangxi Normal University, Nanchang; 332000, China
26.School of Geography and Environment, Jiangxi Normal University, Nanchang; 332000, China
27.School of Geography and Tourism, Chongqing Normal University, Chongqing; 401331, China
28.Chongqing Key Laboratory of GIS Application, Chongqing Normal University, Chongqing; 401331, China
29.Department of Land Management, Zhejiang University, Hangzhou; 310058, China
30.Key Research Institute of Yellow River Civilization and Sustainable Development, Henan University, Kaifeng; 475001, China
31.Department of Urban Planning and Public Policy, Texas Southern University, Houston; TX; 77004, United States
32.School of Architecture and Urban Planning, Huazhong University of Science and Technology, Wuhan; 430074, China
33.Shenzhen Research Center of Digital City Engineering, Shenzhen; 518000, China
34.School of Public Affairs, Zhejiang University, Hangzhou; 310058, China
35.Department of Urban Planning and Design, Faculty of Architecture, University of Hong Kong, Hong Kong, Hong Kong
36.Shenzhen (Su Mo) School of Resource and Environment Science, Wuhan University, Wuhan; 430079, China
37.Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen; 518055, China
38.School of Geographical Sciences, Guangzhou University, Guangzhou; 510006, China
39.Harbin Haihang GIS Engineering, Ltd., Harbin; 150008, China
40.Geomatics College, Shandong University of Science and Technology, Qingdao; 266590, China
41.Department of Surveying Engineering and Geoinformatics, Cheng Kung University, Tainan; 701, China
42.School of Earth Science and Engineering, Hohai University, Nanjing; 211100, China
43.Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun; 130102, China
44.School of Architecture, Tsinghua University, Beijing; 100084, China
45.College of Resources and Environment, Lanzhou University, Lanzhou; 730000, China
46.Department of Forestry and Natural Resources, University of Kentucky, Lexington; KY; 40546, United States
47.College of Geographical Sciences, Fujian Normal University, Fuzhou; 350007, China
48.School of Urban and Environmental Sciences, Central China Normal University, Wuhan; 430079, China
49.Hong Kong Baptist University, KLN, Hong Kong
50.Google LLC, Mountain View; CA; 94043, United States
51.US Geological Survey, Reston; VA; 20192, United States
Recommended Citation
GB/T 7714
Gong, Peng,Chen, Bin,Li, Xuecao,et al. Mapping essential urban land use categories in China (EULUC-China): preliminary results for 2018[J]. Science Bulletin,2020,65(3):182-187.
APA Gong, Peng.,Chen, Bin.,Li, Xuecao.,Liu, Han.,Wang, Jie.,...&Xu, Bing.(2020).Mapping essential urban land use categories in China (EULUC-China): preliminary results for 2018.Science Bulletin,65(3),182-187.
MLA Gong, Peng,et al."Mapping essential urban land use categories in China (EULUC-China): preliminary results for 2018".Science Bulletin 65.3(2020):182-187.
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