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Spatial Pattern Consistency among Different Remote-Sensing Land Cover Datasets: A Case Study in Northern Laos
Kang, Junmei1,2; Sui, Lichun1,2; Yang, Xiaomei3,4; Wang, Zhihua3; Huang, Chong3; Wang, Jun1,2
2019-05-01
Source PublicationISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
ISSN2220-9964
Volume8Issue:5Pages:22
Corresponding AuthorWang, Zhihua(zhwang@lreis.ac.cn)
AbstractComparisons of the accuracy and consistency of different remote-sensing land cover datasets are important for the rational application of multi-source land cover datasets to regional development, or to studies of global or local environmental change. Existing comparisons of accuracy or spatial consistency among land cover datasets primarily use confusion or transfer matrices and focus on the type and area consistency of land cover. However, less attention has been paid to the consistency of spatial patterns, and quantitative analyses of spatial pattern consistency are rare. However, when proportions of land cover types are similar, spatial patterns are essential for studies of the ecological functions of a landscape system. In this study, we used classical landscape indices that quantifies spatial patterns to analyze the spatial pattern consistency among different land cover datasets, and chose three datasets (GlobeLand30-2010, FROM-GLC2010, and SERVIR MEKONG2010) in northern Laos as a case study. We also analyzed spatial pattern consistency at different scales after comparing the landscape indices method with the confusion matrix method. We found that the degree of consistency between GlobeLand30-2010 and SERVIR MEKONG2010 was higher than that of GlobeLand30-2010 and FROM-GLC2010, FROM-GLC2010, and SERVIR MEKONG2010 based on the confusion matrix, mainly because of the best forest consistency and then water. However, the spatial consistency results of the landscape indices analysis show that the three datasets have large differences in the number of patches (NP), patch density (PD), and landscape shape index (LSI) at the original scale of 30 m, and decrease with the increase of the scale. Meanwhile, the aggregation index (AI) shows different changes, such as the changing trend of the forest aggregation index increasing with the scale. Our results suggested that, when using or producing land cover datasets, it is necessary not only to ensure the consistency of landscape types and areas, but also to ensure that differences among spatial patterns are minimized, especially those exacerbated by scale. Attention to these factors will avoid larger deviations and even erroneous conclusions from these data products.
Keywordland cover products spatial pattern landscape index scale northern Laos
DOI10.3390/ijgi8050201
WOS KeywordACCURACY ASSESSMENT ; USE/COVER CHANGE ; LANDSCAPE ; DATABASE ; IMPACTS ; METRICS ; SCALE ; MODIS
Indexed BySCI
Language英语
Funding ProjectNational Key Research and Development Program of China[2016YFB0501404] ; CAS Earth Big Data Science Project[XDA19060303] ; National Science Foundation of China[41671436] ; Innovation Project of LREIS[O88RAA01YA]
Funding OrganizationNational Key Research and Development Program of China ; CAS Earth Big Data Science Project ; National Science Foundation of China ; Innovation Project of LREIS
WOS Research AreaPhysical Geography ; Remote Sensing
WOS SubjectGeography, Physical ; Remote Sensing
WOS IDWOS:000470965400002
PublisherMDPI
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/58860
Collection中国科学院地理科学与资源研究所
Corresponding AuthorWang, Zhihua
Affiliation1.Changan Univ, Geol Engn, Xian 710054, Shaanxi, Peoples R China
2.Changan Univ, Inst Surveying & Mapping, Xian 710054, Shaanxi, Peoples R China
3.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
4.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China
Recommended Citation
GB/T 7714
Kang, Junmei,Sui, Lichun,Yang, Xiaomei,et al. Spatial Pattern Consistency among Different Remote-Sensing Land Cover Datasets: A Case Study in Northern Laos[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2019,8(5):22.
APA Kang, Junmei,Sui, Lichun,Yang, Xiaomei,Wang, Zhihua,Huang, Chong,&Wang, Jun.(2019).Spatial Pattern Consistency among Different Remote-Sensing Land Cover Datasets: A Case Study in Northern Laos.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,8(5),22.
MLA Kang, Junmei,et al."Spatial Pattern Consistency among Different Remote-Sensing Land Cover Datasets: A Case Study in Northern Laos".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 8.5(2019):22.
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