中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
An automatic approach for land-change detection and land updates based on integrated NDVI timing analysis and the CVAPS method with GEE support

文献类型:期刊论文

作者Hu, Yunfeng1,2; Dong, Yu1,2; Batunacun1,3
刊名ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
出版日期2018-12-01
卷号146页码:347-359
关键词Automatic update Change detection Land use/land cover Time-series analysis
ISSN号0924-2716
DOI10.1016/j.isprsjprs.2018.10.008
通讯作者Hu, Yunfeng(huyf@lreis.ac.cn)
英文摘要Land-use/land-cover information is the basis of global-change research and regional governmental management. Automatic approaches are always required to update land maps for large-scale areas, and change detection techniques are the most important component of land-updating methods. Previous research has confirmed that simple change detection based on Landsat images from two different years with two different phenophases yields unsatisfactory results and may induce many misclassifications and pseudo-change identifications because of the phenological differences between remote sensing images. With the support of the Google Earth Engine (GEE), we propose a land-use/land-cover type discrimination method based on a classification and regression tree (CART), apply change-vector analysis in posterior probability space (CVAPS) and the best histogram maximum entropy method for change detection, and further improve the accuracy of the land-updating results in combination with NDVI timing analysis, which indicates the annual growth of ground vegetation. In the case study, we select western China as the research area and obtain a 2014 land map based on the ESA GlobCover 2009 dataset. The results confirm that the accuracy of the land-renewal results based on the CART-CVAPS-NDVI method reach 78.6-88.2%, which is 4-10% higher than that of the CART-CVPAS method without NDVI timing analysis. The CART-CVAPS-NDVI method has more detailed and accurate resolutions for land-change detection.
WOS关键词CHANGE-VECTOR ANALYSIS ; COVER CLASSIFICATION ; SURFACE REFLECTANCE ; ALGORITHMS ; GLOBCOVER ; MACHINE ; TRENDS ; SPACE ; MODIS
资助项目National Key Research and Development Program of China[2016YFB0501502] ; National Key Research and Development Program of China[2016YFC0503701] ; Strategic Priority Research Program[XDA19040301] ; Strategic Priority Research Program[XDA20010202] ; Key Project of High Resolution Earth Observation Systems[00-Y30B14-9001-14/16]
WOS研究方向Physical Geography ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000453499400026
出版者ELSEVIER SCIENCE BV
资助机构National Key Research and Development Program of China ; Strategic Priority Research Program ; Key Project of High Resolution Earth Observation Systems
源URL[http://ir.igsnrr.ac.cn/handle/311030/51363]  
专题中国科学院地理科学与资源研究所
通讯作者Hu, Yunfeng
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 101408, Peoples R China
3.Leibniz Ctr Agr Landscape Res, Eberswalder Str 84, D-15374 Muncheberg, Germany
推荐引用方式
GB/T 7714
Hu, Yunfeng,Dong, Yu,Batunacun. An automatic approach for land-change detection and land updates based on integrated NDVI timing analysis and the CVAPS method with GEE support[J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,2018,146:347-359.
APA Hu, Yunfeng,Dong, Yu,&Batunacun.(2018).An automatic approach for land-change detection and land updates based on integrated NDVI timing analysis and the CVAPS method with GEE support.ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,146,347-359.
MLA Hu, Yunfeng,et al."An automatic approach for land-change detection and land updates based on integrated NDVI timing analysis and the CVAPS method with GEE support".ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 146(2018):347-359.

入库方式: OAI收割

来源:地理科学与资源研究所

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