Collating multisource geospatial data for vegetation detection using Bayesian network-a case study of Yellow River Delta
Mo, Dingyuan1,2; Yu, Liangju1; Gao, Meng1
ISSN1742-7185
2017
卷号15期号:3-4页码:277-284
关键词Bayesian networksGeographic information systemsRoad constructionSensitivity analysis
DOI10.1504/IJCSE.2017.087407
产权排序(1) Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, No. 17, Chunhui Road, Yantai; 264003, China; (2) University of Chinese Academy of Sciences, Beijing; 100049, China
作者部门海岸带信息集成与综合管理实验室
英文摘要Multisource geospatial data contains a lot of information that can be used for environment assessment and management. In this paper, four environmental indicators representing typical human activities in Yellow River Delta, China are extracted from multisource geospatial data. By analysing the causal relationship between these human-related indicators and NDVI, a Bayesian network (BN) model is developed. Part of the raster data pre-processed using GIS is used for training the BN model, and the other data is used for model testing. Sensitivity analysis and performance assessment showed that the BN model was good enough to reveal the impacts of human activities on land vegetation. With the trained BN model, the vegetation change under three different scenarios was also predicted. The results showed that multisource geospatial data could be successfully collated using the GIS-BN framework for vegetation detection. ? 2017 Inderscience Enterprises Ltd.
文章类型Conference article
资助机构This work was partly supported by the Youth Innovation Promotion Association of the Chinese Academy of Sciences (2016195), S&T Service Network Initiative (KFJ-EW-STS-127-2), CAS Knowledge Innovation Project (KZCX2-EW-QN209), and National Natural Science Foundation of China (31570423).
收录类别EI
语种英语
研究领域[WOS]Highway Engineering
EI主题词Bayesian networks; Geographic information systems; Road construction; Sensitivity analysis
EI入藏号20174304291178
引用统计
文献类型期刊论文
条目标识符http://ir.yic.ac.cnhttp://ir.yic.ac.cn/handle/133337/25214
专题中科院海岸带环境过程与生态修复重点实验室_海岸带信息集成与战略规划研究中心
中科院海岸带环境过程与生态修复重点实验室

作者单位1.Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, No. 17, Chunhui Road, Yantai; 264003, China;
2.University of Chinese Academy of Sciences, Beijing; 100049, China

推荐引用方式
GB/T 7714Mo, Dingyuan,Yu, Liangju,Gao, Meng. Collating multisource geospatial data for vegetation detection using Bayesian network-a case study of Yellow River Delta[J],2017,15(3-4):277-284.
APAMo, Dingyuan,Yu, Liangju,&Gao, Meng.(2017).Collating multisource geospatial data for vegetation detection using Bayesian network-a case study of Yellow River Delta.,15(3-4),277-284.
MLAMo, Dingyuan,et al."Collating multisource geospatial data for vegetation detection using Bayesian network-a case study of Yellow River Delta".15.3-4(2017):277-284.


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