干旱区生态环境知识资源中心(Arid): Annual maps of global artificial impervious area (GAIA) between 1985 and 2018

Arid

DOI	10.1016/j.rse.2019.111510
	Annual maps of global artificial impervious area (GAIA) between 1985 and 2018
	Gong, Peng 1,2,3; Li, Xuecao 4; Wang, Jie 5,6; Bai, Yuqi 1,2,3; Cheng, Bin 7; Hu, Tengyun 8; Liu, Xiaoping 9; Xu, Bing 1,2,3; Yang, Jun 1,2,3; Zhang, Wei 1,2; Zhou, Yuyu 4
通讯作者	Gong, Peng ; Wang, Jie
来源期刊	REMOTE SENSING OF ENVIRONMENT
ISSN	0034-4257
EISSN	1879-0704
出版年	2020
卷号	236
英文摘要	Artificial impervious areas are predominant indicators of human settlements. Timely, accurate, and frequent information on artificial impervious areas is critical to understanding the process of urbanization and land use/cover change, as well as of their impacts on the environment and biodiversity. Despite their importance, there still lack annual maps of high-resolution Global Artificial Impervious Areas (GAIA) with longer than 30-year records, due to the high demand of high performance computation and the lack of effective mapping algorithms. In this paper, we mapped annual GAIA from 1985 to 2018 using the full archive of 30-m resolution Landsat images on the Google Earth Engine platform. With ancillary datasets, including the nighttime light data and the Sentinel-1 Synthetic Aperture Radar data, we improved the performance of our previously developed algorithm in arid areas. We evaluated the GAIA data for 1985, 1990, 1995, 2000, 2005, 2010, and 2015, and the mean overall accuracy is higher than 90%. A cross-product comparison indicates the GAIA data are the only dataset spanning over 30 years. The temporal trend in GAIA agrees well with other datasets at the local, regional, and global scales. Our results indicate that the GAIA reached 797,076 km(2) in 2018, which is 1.5 times more than that in 1990. China and the United States (US) rank among the top two in artificial impervious area, accounting for approximately 50% of the world's total in 2018. The artificial impervious area of China surpassed that of the US in 2015. By 2018, the remaining eight among the top ten countries are India, Russia, Brazil, France, Italy, Germany, Japan, and Canada. The GAIA dataset can be freely downloaded from http://data.ess.tsinghua.edu.cn.
英文关键词	Urbanization Rural development Landsat data Human settlements Google Earth
类型	Article
语种	英语
国家	Peoples R China ; USA
收录类别	SCI-E ; SSCI
WOS记录号	WOS:000502894400025
WOS关键词	ANNUAL URBAN-DYNAMICS ; LAND-COVER ; HUMAN-SETTLEMENTS ; URBANIZATION DYNAMICS ; TIME-SERIES ; SAMPLE SET ; CHINA ; CLASSIFICATION ; GROWTH ; FRAMEWORK
WOS类目	Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
EI主题词	2020-01-01
来源机构	清华大学 ; University of California, Davis
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/312296
作者单位	1.Tsinghua Univ, Dept Earth Syst Sci, Minist Educ, Key Lab Earth Syst Modeling, Beijing 100084, Peoples R China; 2.Tsinghua Univ, Tsinghua Urban Inst, Beijing 100084, Peoples R China; 3.Tsinghua Univ, Inst China Sustainable Urbanizat, Ctr Hlth Cities, Beijing 100084, Peoples R China; 4.Iowa State Univ, Dept Geol & Atmospher Sci, Ames, IA 50011 USA; 5.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China; 6.Tsinghua Univ, AI Earth Lab, Cross Strait Inst, Beijing 100084, Peoples R China; 7.Univ Calif Davis, Dept Land Air & Water Resources, Davis, CA 95616 USA; 8.Beijing Municipal Inst City Planning & Design, Beijing 100045, Peoples R China; 9.Sun Yat Sen Univ, Sch Geog & Planning, Guangdong Key Lab Urbanizat & Geosimulat, Guangzhou 510275, Guangdong, Peoples R China
推荐引用方式 GB/T 7714	Gong, Peng,Li, Xuecao,Wang, Jie,et al. Annual maps of global artificial impervious area (GAIA) between 1985 and 2018[J]. 清华大学, University of California, Davis,2020,236.
APA	Gong, Peng.,Li, Xuecao.,Wang, Jie.,Bai, Yuqi.,Cheng, Bin.,...&Zhou, Yuyu.(2020).Annual maps of global artificial impervious area (GAIA) between 1985 and 2018.REMOTE SENSING OF ENVIRONMENT,236.
MLA	Gong, Peng,et al."Annual maps of global artificial impervious area (GAIA) between 1985 and 2018".REMOTE SENSING OF ENVIRONMENT 236(2020).