Mapping Rice Planted Area Using a New Normalized EVI and SAVI (NVI) Derived From Landsat-8 OLI
文献类型：期刊论文
| 作者 | Li, Peng1,2; Xiao, Chiwei1,2; Feng, Zhiming1,2 |
| 刊名 | IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
 |
| 出版日期 | 2018-12-01 |
| 卷号 | 15期号:12页码:1822-1826 |
| 关键词 | Enhanced vegetation index (EVI) Landsat rice planted paddy soil-adjusted vegetation index (SAVI) |
| ISSN号 | 1545-598X |
| DOI | 10.1109/LGRS.2018.2865516 |
| 通讯作者 | Feng, Zhiming(fengzm@igsnrr.ac.cn) |
| 英文摘要 | Obtaining 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. |
| WOS关键词 | AGRICULTURE ; CHINA ; DELTA ; SOUTH |
| 资助项目 | Opening 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] |
| WOS研究方向 | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000454209200005 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | Opening 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 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/51295]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Feng, Zhiming |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：地理科学与资源研究所
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