IGSNRR OpenIR
Mapping Rice Planted Area Using a New Normalized EVI and SAVI (NVI) Derived From Landsat-8 OLI
Li, Peng1,2; Xiao, Chiwei1,2; Feng, Zhiming1,2
2018-12-01
Source PublicationIEEE GEOSCIENCE AND REMOTE SENSING LETTERS
ISSN1545-598X
Volume15Issue:12Pages:1822-1826
Corresponding AuthorFeng, Zhiming(fengzm@igsnrr.ac.cn)
AbstractObtaining annually updated data of actually planted rice paddy is essential for evaluating food security and estimating methane emission. Paddy field in southern China generally displays unique phenological landscape changes from exposed soils, shallow flooding water, to rice plants during the whole growth period in a year. A phenology-based algorithm was developed to map the rice planted paddies in the Poyang Lake Plain (PLP), China, in 2014, a typical region in Central China single- and double-rice cropping belt. This algorithm, or a normalized vegetation index, was based on the normalization of Landsat-8 Operational Land Imager-derived enhanced vegetation index and soil-adjusted vegetation index. It highlighted the temporal differences in vegetation cover and background soil between two critical growth phases of paddy rice, i.e., the flooding to transplanting stage and reproductive to ripening stage. There was estimated to be 7148.31 km(2) in the PLP, with an overall accuracy of 96.8% and the kappa coefficient of 0.97. Comparison between Landsat-detected results and the statistics of paddy field at the county level showed a high determination coefficient with the R-2 of 0.88. The phenology-based algorithm greatly facilitates rice farming monitoring at the regional scale.
KeywordEnhanced vegetation index (EVI) Landsat rice planted paddy soil-adjusted vegetation index (SAVI)
DOI10.1109/LGRS.2018.2865516
WOS KeywordAGRICULTURE ; CHINA ; DELTA ; SOUTH
Indexed BySCI
Language英语
Funding ProjectOpening Fund of Key Laboratory of Poyang Lake Wetland and Watershed Research (Jiangxi Normal University), Ministry of Education of China[PK2016004] ; National Natural Science Foundation of China[41430861]
Funding OrganizationOpening Fund of Key Laboratory of Poyang Lake Wetland and Watershed Research (Jiangxi Normal University), Ministry of Education of China ; National Natural Science Foundation of China
WOS Research AreaGeochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
WOS SubjectGeochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000454209200005
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/51296
Collection中国科学院地理科学与资源研究所
Corresponding AuthorFeng, Zhiming
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
Recommended Citation
GB/T 7714
Li, Peng,Xiao, Chiwei,Feng, Zhiming. Mapping Rice Planted Area Using a New Normalized EVI and SAVI (NVI) Derived From Landsat-8 OLI[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,2018,15(12):1822-1826.
APA Li, Peng,Xiao, Chiwei,&Feng, Zhiming.(2018).Mapping Rice Planted Area Using a New Normalized EVI and SAVI (NVI) Derived From Landsat-8 OLI.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,15(12),1822-1826.
MLA Li, Peng,et al."Mapping Rice Planted Area Using a New Normalized EVI and SAVI (NVI) Derived From Landsat-8 OLI".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 15.12(2018):1822-1826.
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
[Li, Peng]'s Articles
[Xiao, Chiwei]'s Articles
[Feng, Zhiming]'s Articles
Baidu academic
Similar articles in Baidu academic
[Li, Peng]'s Articles
[Xiao, Chiwei]'s Articles
[Feng, Zhiming]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Li, Peng]'s Articles
[Xiao, Chiwei]'s Articles
[Feng, Zhiming]'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.