Mapping Dragon Fruit Croplands from Space Using Remote Sensing of Artificial Light at Night
Wang, Ruirui1; Shi, Wei3; Dong, Pinliang2
刊名REMOTE SENSING
2020-12-01
卷号12期号:24页码:15
关键词nighttime light NPP-VIIRS dragon fruit Vietnam
DOI10.3390/rs12244139
通讯作者Shi, Wei(shiw@lreis.ac.cn)
英文摘要The nighttime light (NTL) on the surface of Earth is an important indicator for the human transformation of the world. NTL remotely sensed data have been widely used in urban development, population estimation, economic activity, resource development and other fields. With the increasing use of artificial lighting technology in agriculture, it has become possible to use NTL remote sensing data for monitoring agricultural activities. In this study, National Polar Partnership (NPP)-Visible Infrared Imaging Radiometer Suite (VIIRS) NTL remote sensing data were used to observe the seasonal variation of artificial lighting in dragon fruit cropland in Binh Thuan Province, Vietnam. Compared with the statistics of planted area, area having products and production of dragon fruit by district in the Statistical Yearbook of Binh Thuan Province 2018, values of the mean and standard deviation of NTL brightness have significant positive correlations with the statistical data. The results suggest that the NTL remotely sensed data could be used to reveal some agricultural productive activities such as dragon fruits production accurately by monitoring the seasonal artificial lighting. This research demonstrates the application potential of NTL remotely sensed data in agriculture.
资助项目National Natural Science Foundation of China[41971376]
WOS关键词DMSP-OLS ; URBAN EXPANSION ; TIME-SERIES ; CHINA ; DYNAMICS ; IMAGES ; SYSTEM
WOS研究方向Environmental Sciences & Ecology ; Remote Sensing
语种英语
出版者MDPI
WOS记录号WOS:000603241600001
资助机构National Natural Science Foundation of China
内容类型期刊论文
源URL[http://ir.igsnrr.ac.cn/handle/311030/137373]  
专题中国科学院地理科学与资源研究所
通讯作者Shi, Wei
作者单位1.Beijing Forestry Univ, Coll Forestry, Beijing 100083, Peoples R China
2.Univ North Texas, Dept Geog & Environm, Denton, TX 76203 USA
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714
Wang, Ruirui,Shi, Wei,Dong, Pinliang. Mapping Dragon Fruit Croplands from Space Using Remote Sensing of Artificial Light at Night[J]. REMOTE SENSING,2020,12(24):15.
APA Wang, Ruirui,Shi, Wei,&Dong, Pinliang.(2020).Mapping Dragon Fruit Croplands from Space Using Remote Sensing of Artificial Light at Night.REMOTE SENSING,12(24),15.
MLA Wang, Ruirui,et al."Mapping Dragon Fruit Croplands from Space Using Remote Sensing of Artificial Light at Night".REMOTE SENSING 12.24(2020):15.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace