干旱区生态环境知识资源中心(Arid): Day and night synergy to improve subpixel urban impervious surface mapping in desert environments at 30-m Landsat resolution

Arid

DOI	10.1080/01431161.2020.1802530
	Day and night synergy to improve subpixel urban impervious surface mapping in desert environments at 30-m Landsat resolution
	Deng, Chengbin; Lin, Weiying
通讯作者	Deng, CB
来源期刊	INTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN	0143-1161
EISSN	1366-5901
出版年	2020
卷号	41 期号:24 页码:9588-9605
英文摘要	Few studies provide effective guidance for detecting subpixel urban impervious surface in desert environments. Such an environmental setting is substantially different from the study areas of most existing studies, especially with complicated desert landforms. To improve the accuracy of subpixel mapping of urban impervious surface in desert environments, an integrative approach is proposed to estimate fractional urban impervious surface at the 30-m resolution. This is done by the synergistic use of open-source datasets taken from day and night that characterize different aspects of human activities at a different time of a day. We carefully analyse the performance of three methods with model input combinations from different sources, i.e. the day and night image synergy, daytime images only, and georectified night-time International Space Station (ISS) photographs only. Three major findings are concluded from the analyses. First, the collective usage of remote sensing images derived from day and night yields reasonable results in all desert cities and outperforms any single-source data for subpixel urban impervious surface mapping. Second, among all the input features from multiple data sources, night light variables have a higher contribution than other variables of daytime images for subpixel urban impervious surface mapping in desert cities, regardless of lighting types. Third, since desert cities remain understudied in previous studies, the proposed synergy method fills this gap in the literature. This data fusion of multi-source remotely sensed data is promising, which can be employed for better subpixel urban mapping in support of various environmental and socioeconomic applications in the future.
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000583359800001
WOS关键词	SPECTRAL MIXTURE ANALYSIS ; SPATIAL-RESOLUTION ; ENDMEMBER VARIABILITY ; RANDOM FOREST ; IDENTIFICATION ; IMAGERY ; GROWTH ; CITY
WOS类目	Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	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/2XILL650/327183
作者单位	[Deng, Chengbin; Lin, Weiying] SUNY Binghamton, Dept Geog, Binghamton, NY 13902 USA; [Lin, Weiying] Texas A&M Univ, Dept Geog, College Stn, TX USA
推荐引用方式 GB/T 7714	Deng, Chengbin,Lin, Weiying. Day and night synergy to improve subpixel urban impervious surface mapping in desert environments at 30-m Landsat resolution[J],2020,41(24):9588-9605.
APA	Deng, Chengbin,&Lin, Weiying.(2020).Day and night synergy to improve subpixel urban impervious surface mapping in desert environments at 30-m Landsat resolution.INTERNATIONAL JOURNAL OF REMOTE SENSING,41(24),9588-9605.
MLA	Deng, Chengbin,et al."Day and night synergy to improve subpixel urban impervious surface mapping in desert environments at 30-m Landsat resolution".INTERNATIONAL JOURNAL OF REMOTE SENSING 41.24(2020):9588-9605.