Hou, Wan1,2,3; Hou, Xiyong1,3,4
发表期刊ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
2019-12-01
卷号8期号:12页码:20
关键词remote sensingland useland coverdata fusionagreement analysisfuzzy-set theoryaccuracy analysisthe coastal areas of the Maritime Silk Road
DOI10.3390/ijgi8120557
通讯作者Hou, Xiyong(xyhou@yic.ac.cn)
英文摘要High-precision land use/land cover classification mapping derived from remote sensing supplies essential datasets for scientific research on environmental assessment, climate change simulation, geographic condition monitoring, and environmental management at global and regional scales. It is an important issue in the study of earth system science, and the coastal area is a hot spot region in this field. In this paper, the coastal areas of the Maritime Silk Road were used as the research object and a fusion method based on agreement analysis and fuzzy-set theory was adopted to achieve the fusion of three land use/land cover datasets: MCD12Q1-2010, CCI-LC2010, and GlobeLand30-2010. The accuracy of the fusion results was analyzed using an error matrix, spatial confusion, average overall consistency, and average type-specific consistency. The main findings were as follows. (1) After the establishment of reference data based on Google Earth, both the producer accuracy and user accuracy of the fusion data were improved when compared with those of the three input data sources, and the fusion data had the highest overall accuracy and Kappa coefficient, with values of 90.37% and 0.8617, respectively. (2) Various input data sources differed in terms of the correctly classified contributions and misclassified influences of different land use/land cover types in the fusion data; furthermore, the overall accuracy and Kappa coefficient between the fusion data and any one of the input data sources were far higher than those between any two of the input data sources. (3) The average overall consistency of the fusion data was the highest at 89.29%, which was approximately 5% higher than that of the input data sources. (4) The average type-specific consistencies of cropland, forest, grassland, shrubland, wetland, artificial surfaces, bare land, and permanent snow and ice in the fusion data were the highest, with values of 69.95%, 74.41%, 21.24%, 34.22%, 97.62%, 51.83%, 84.39%, and 2.46%, respectively; compared with the input data sources, the average type-specific consistencies of the fusion data were 0.61-20.32% higher. This paper provides information and suggestions for the development and accuracy evaluation of future land use/land cover data in global and regional coastal areas.
资助机构Strategic Priority Research Program of Chinese Academy of Sciences; National Natural Science Foundation of China
收录类别SCI
语种英语
关键词[WOS]CLASSIFICATION; SCALE; MAP; DISTRIBUTIONS; UNCERTAINTY; INTEGRATION; QUESTIONS; MODIS
研究领域[WOS]Physical Geography; Remote Sensing
WOS记录号WOS:000518041800036
引用统计被引频次：6[WOS][WOS记录][WOS相关记录]
文献类型期刊论文
条目标识符http://ir.yic.ac.cnhttp://ir.yic.ac.cn/handle/133337/28898
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
通讯作者Hou, Xiyong作者单位1.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China
2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Peoples R China
4.Chinese Acad Sci, Ctr Ocean Mega Sci, Qingdao 266071, Peoples R China
推荐引用方式
GB/T 7714Hou, Wan,Hou, Xiyong. Data Fusion and Accuracy Analysis of Multi-Source Land Use/Land Cover Datasets along Coastal Areas of the Maritime Silk Road[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2019,8(12):20.
APAHou, Wan,&Hou, Xiyong.(2019).Data Fusion and Accuracy Analysis of Multi-Source Land Use/Land Cover Datasets along Coastal Areas of the Maritime Silk Road.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,8(12),20.
MLAHou, Wan,et al."Data Fusion and Accuracy Analysis of Multi-Source Land Use/Land Cover Datasets along Coastal Areas of the Maritime Silk Road".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 8.12(2019):20.
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