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, Wei1; Zhang, Yuhuan2; Gao, Le3
2018
Source PublicationREMOTE SENSING LETTERS
ISSN2150-704X
Volume9Issue:6Pages:587-596
Corresponding AuthorGao, Le(gaole@qdio.ac.cn)
AbstractMapping 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.
DOI10.1080/2150704X.2018.1455234
Indexed BySCI
Language英语
Funding ProjectOpen 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 Research AreaRemote Sensing ; Imaging Science & Photographic Technology
WOS SubjectRemote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000428518400001
PublisherTAYLOR & FRANCIS LTD
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.qdio.ac.cn/handle/337002/158439
Collection海洋环流与波动重点实验室
Corresponding AuthorGao, Le
Affiliation1.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
Corresponding Author AffilicationInstitute of Oceanology, Chinese Academy of Sciences
Recommended Citation
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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