CORC  > 安徽大学
Detection and prediction of land use/land cover change using spatiotemporal data fusion and the Cellular Automata-Markov model.
Li, Xinghua; Lu, Yuting; Ma, Xiaoshuang; Wu, Penghai
刊名Environmental Monitoring & Assessment
2019
卷号Vol.191 No.2页码:1
关键词CA-Markov ESTARFM Land use and land cover Prediction Spatiotemporal data fusion
ISSN号0167-6369
URL标识查看原文
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/2205839
专题安徽大学
作者单位1.School of Resources and Environmental Engineering, Anhui University, 230601, Hefei, Anhui, China
2.School of Remote Sensing and Information Engineering, Wuhan University, 430079, Wuhan, Hubei, China
3.Institute of Physical Science and Information Technology, Anhui University, 230601, Hefei, Anhui, China
4.Anhui Province Key Laboratory of Wetland Ecosystem Protection and Restoration, Anhui University, 230601, Hefei, Anhui, China
推荐引用方式
GB/T 7714
Li, Xinghua,Lu, Yuting,Ma, Xiaoshuang,et al. Detection and prediction of land use/land cover change using spatiotemporal data fusion and the Cellular Automata-Markov model.[J]. Environmental Monitoring & Assessment,2019,Vol.191 No.2:1.
APA Li, Xinghua,Lu, Yuting,Ma, Xiaoshuang,&Wu, Penghai.(2019).Detection and prediction of land use/land cover change using spatiotemporal data fusion and the Cellular Automata-Markov model..Environmental Monitoring & Assessment,Vol.191 No.2,1.
MLA Li, Xinghua,et al."Detection and prediction of land use/land cover change using spatiotemporal data fusion and the Cellular Automata-Markov model.".Environmental Monitoring & Assessment Vol.191 No.2(2019):1.
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