Using VIIRS-DNB and landsat data for impervious surface area mapping in an arid/semiarid region

doi:10.1080/2150704X.2018.1455234

IOCAS-IR > 海洋环流与波动重点实验室

	Using VIIRS-DNB and landsat data for impervious surface area mapping in an arid/semiarid region
	Guo, Wei 1; Zhang, Yuhuan 2; Gao, Le 3
	2018
发表期刊	REMOTE SENSING LETTERS
ISSN	2150-704X
卷号	9 期号:6 页码:587-596
通讯作者	Gao, Le(gaole@qdio.ac.cn)
摘要	Mapping impervious surface area (ISA) in arid/semiarid regions is of great importance because of the vulnerable ecological situation there. However, using remote sensing data for ISA mapping in arid/semiarid landscapes is still very difficult because of the complexities of ISA, such as bare soils, impervious surface areas, and sparse vegetation cover. The Visible Infrared Imaging Radiometer Suite with Day/Night Band (VIIRS-DNB) carried by the Suomi National Polar-orbiting Partnership, focusing on earth nighttime light, provides novel ways to map urban information, but is still little used in ISA mapping. In this paper, we explore a new index based on VIIRS-DNB data called the improved impervious surface index (IISI). We use a linear regression model for fractional ISA estimation in an arid/semiarid urban region, and the IISI was used as an independent variable. Reference ISAs from selected sites were mapped from Landsat images and were used as a dependent variable in this model. The results indicate that the IISI-based model provides good estimation with coefficient of determination (R-2)of 0.70, much greater accuracy than that using normalized VIIRS-DNB data. This method is very valuable for fractional ISA mapping in an arid/semiarid region.
DOI	10.1080/2150704X.2018.1455234
收录类别	SCI
语种	英语
资助项目	Open Research Fund of Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences[2015LDE008] ; National Natural Science Foundation of China[41606200] ; National key Research and Development Program of China[2016YFC1401008] ; National key Research and Development Program of China[2016YFC1401004] ; Shandong Natural Science Foundation of China[ZR2014DQ027] ; Nantong Science and Technology Program of China[MS12015121] ; Open Research Fund of Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences[2015LDE008] ; National Natural Science Foundation of China[41606200] ; National key Research and Development Program of China[2016YFC1401008] ; National key Research and Development Program of China[2016YFC1401004] ; Shandong Natural Science Foundation of China[ZR2014DQ027] ; Nantong Science and Technology Program of China[MS12015121]
WOS研究方向	Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:000428518400001
出版者	TAYLOR & FRANCIS LTD
引用统计	被引频次：11[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.qdio.ac.cn/handle/337002/158439
专题	海洋环流与波动重点实验室
通讯作者	Gao, Le
作者单位	1.Chinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing & Digital Earth, Beijing, Peoples R China 2.Minist Environm Protect, Satellite Environm Ctr, Beijing, Peoples R China 3.Chinese Acad Sci, Inst Oceanog, Key Lab Ocean Circulat & Waves, 7 Nanhai Rd, Qingdao 266071, Peoples R China
通讯作者单位	中国科学院海洋研究所
推荐引用方式 GB/T 7714	Guo, Wei,Zhang, Yuhuan,Gao, Le. Using VIIRS-DNB and landsat data for impervious surface area mapping in an arid/semiarid region[J]. REMOTE SENSING LETTERS,2018,9(6):587-596.
APA	Guo, Wei,Zhang, Yuhuan,&Gao, Le.(2018).Using VIIRS-DNB and landsat data for impervious surface area mapping in an arid/semiarid region.REMOTE SENSING LETTERS,9(6),587-596.
MLA	Guo, Wei,et al."Using VIIRS-DNB and landsat data for impervious surface area mapping in an arid/semiarid region".REMOTE SENSING LETTERS 9.6(2018):587-596.

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Using VIIRS-DNB and （2292KB）	期刊论文	出版稿	限制开放	CC BY-NC-SA	浏览