干旱区生态环境知识资源中心(Arid): Enhanced normalized difference index for impervious surface area estimation at the plateau basin scale

Arid

DOI	10.1117/1.JRS.13.016502
	Enhanced normalized difference index for impervious surface area estimation at the plateau basin scale
	Chen, Junyi 1,2,3,4; Yang, Kun 4; Chen, Suozhong 1,2,3; Yang, Chao 5; Zhang, Shaohua 4; He, Liang 1,2,3
通讯作者	Yang, Kun ; Chen, Suozhong
来源期刊	JOURNAL OF APPLIED REMOTE SENSING
ISSN	1931-3195
出版年	2019
卷号	13 期号:1
英文摘要	Impervious surface (IS) area is an important indicator of ecological environment condition in the basin. We propose an index for IS extraction [i.e., enhanced normalized difference impervious surfaces index (ENDISI)] by integrating the spectrum character of Landsat-operational land imager (OLI) images, and an automatic threshold selection method using the generalized Gaussian model. Dianchi and Erhai Basin are employed as study areas to test the ENDISI method at the plateau basin scale. The results show that: (1) the ENDISI can reduce the impacts of arid land, bare rock, and bare soil on IS extraction effectively; (2) ENDISI had a much higher separability degree between ISs and pervious surfaces compared with normalized difference built-up index, modified normalized difference IS index, and combinational biophysical composition index; and (3) the overall accuracy and kappa coefficient values of IS extraction via automatic threshold selection exceed 93.9% and 82.4%, respectively. Therefore, the ENDISI can serve as an effective index algorithm for rapid and high-precision IS extraction at the plateau basin scale. (C) The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License.
英文关键词	enhanced normalized difference impervious surfaces index impervious surface area plateau basin automatic threshold selection
类型	Article
语种	英语
国家	Peoples R China
开放获取类型	hybrid
收录类别	SCI-E
WOS记录号	WOS:000455436900002
WOS关键词	BIOPHYSICAL COMPOSITION INDEX ; URBAN LAND-USE ; SOIL MODEL ; CLASSIFICATION ; ANATOMY ; GROWTH
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
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/216694
作者单位	1.Nanjing Normal Univ, Minist Educ, Key Lab Virtual Geog Environm, Nanjing, Jiangsu, Peoples R China; 2.State Key Lab Cultivat Base Geog Environm Evolut, Nanjing, Jiangsu, Peoples R China; 3.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing, Jiangsu, Peoples R China; 4.Minist Educ China, Engn Res Ctr GIS Technol Western China, Kunming, Yunnan, Peoples R China; 5.Shenzhen Univ, Natl Adm Surveying Mapping & Geolnformat, Key Lab Geo Environm Monitoring Coastal Zone, Shenzhen, Peoples R China
推荐引用方式 GB/T 7714	Chen, Junyi,Yang, Kun,Chen, Suozhong,et al. Enhanced normalized difference index for impervious surface area estimation at the plateau basin scale[J],2019,13(1).
APA	Chen, Junyi,Yang, Kun,Chen, Suozhong,Yang, Chao,Zhang, Shaohua,&He, Liang.(2019).Enhanced normalized difference index for impervious surface area estimation at the plateau basin scale.JOURNAL OF APPLIED REMOTE SENSING,13(1).
MLA	Chen, Junyi,et al."Enhanced normalized difference index for impervious surface area estimation at the plateau basin scale".JOURNAL OF APPLIED REMOTE SENSING 13.1(2019).