IMR OpenIR
A global classification of vegetation based on NDVI, rainfall and temperature
Zhang, Xianliang1; Wu, Shuang2,3,4; Yan, Xiaodong2,3,4; Chen, Zhenju1,5
Corresponding AuthorYan, Xiaodong(yxd@bnu.edu.cn) ; Chen, Zhenju(zhenjuchen@hotmail.com)
2017-04-01
Source PublicationINTERNATIONAL JOURNAL OF CLIMATOLOGY
ISSN0899-8418
Volume37Issue:5Pages:2318-2324
AbstractVegetation types are generally classified based only on remote sensing vegetation data, and yet they cannot reflect their connection with climate. Climatic vegetation types reflect the regional vegetation characteristics in terms of climate. The distribution of global climatic vegetation types were identified by K-means method based on vegetation and climate data. Fourteen climatic vegetation types were classified based on vegetation and climate data. Every type had distinct climate and vegetation characteristics. The regions with similar normalized difference vegetation index (NDVI) values but with different climate values such as tropical desert and temperate desert could be distinguished. Our new updated climatic vegetation types agreed fair' with Koeppen climate types and climate type of Zhang and Yan while agreed good' with vegetation types when checked with Kappa test.
Keywordclimate types K-means method climatic vegetation vegetation types
Funding OrganizationNational Natural Science Foundation of China
DOI10.1002/joc.4847
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41271066] ; National Natural Science Foundation of China[31570632] ; National Natural Science Foundation of China[41571094] ; National Natural Science Foundation of China[31570473]
WOS Research AreaMeteorology & Atmospheric Sciences
WOS SubjectMeteorology & Atmospheric Sciences
WOS IDWOS:000398859700010
PublisherWILEY
Citation statistics
Cited Times:22[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.imr.ac.cn/handle/321006/126994
Collection中国科学院金属研究所
Corresponding AuthorYan, Xiaodong; Chen, Zhenju
Affiliation1.Shenyang Agr Univ, Coll Forestry, Shenyang, Peoples R China
2.Beijing Normal Univ, Acad Disaster Reduct & Emergency Management, Minist Civil Affairs, Beijing, Peoples R China
3.Beijing Normal Univ, Minist Educ, Beijing, Peoples R China
4.Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing, Peoples R China
5.Chinese Acad Sci, Qingyuan Forest CERN, Shenyang, Peoples R China
Recommended Citation
GB/T 7714
Zhang, Xianliang,Wu, Shuang,Yan, Xiaodong,et al. A global classification of vegetation based on NDVI, rainfall and temperature[J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY,2017,37(5):2318-2324.
APA Zhang, Xianliang,Wu, Shuang,Yan, Xiaodong,&Chen, Zhenju.(2017).A global classification of vegetation based on NDVI, rainfall and temperature.INTERNATIONAL JOURNAL OF CLIMATOLOGY,37(5),2318-2324.
MLA Zhang, Xianliang,et al."A global classification of vegetation based on NDVI, rainfall and temperature".INTERNATIONAL JOURNAL OF CLIMATOLOGY 37.5(2017):2318-2324.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Zhang, Xianliang]'s Articles
[Wu, Shuang]'s Articles
[Yan, Xiaodong]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zhang, Xianliang]'s Articles
[Wu, Shuang]'s Articles
[Yan, Xiaodong]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zhang, Xianliang]'s Articles
[Wu, Shuang]'s Articles
[Yan, Xiaodong]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.