中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Large-scale mapping of new mixed rice cropping patterns in southern China with phenology-based algorithm and MODIS dataset

文献类型:期刊论文

作者Shao, Qihui3; Li, Rendong; Qiu, Juan; Han, Yifei3; Han, Dongfeng3; Chen, MiaoMiao3; Chi, Hong2
刊名PADDY AND WATER ENVIRONMENT
出版日期2023-04-01
卷号N/A
关键词Paddy rice classification Rice-crayfish MODIS Jianghan Plain
ISSN号1611-2504
DOI10.1007/s10333-023-00926-w
文献子类Article; Early Access
英文摘要Jianghan Plain is a traditional paddy rice cropping area in southern China, consisting of single-cropping rice (SCR) and double-cropping rice (DCR). In recent years, the integrated farming of rice and crayfish (IRC) has developed rapidly in the area. The purpose of this study was to employ multiple vegetation indices derived from Moderate Resolution Imaging Spectroradiometer (MODIS) time-series data to update the rice cropping pattern map of the Jianghan Plain. The Enhanced Vegetation Index combined with Normalized Difference Vegetation Index and Land Surface Water Index was applied to extract the phenological stages of paddy fields based on their spectral signatures. Then, the spatial distribution of SCR, DCR, and IRC was mapped by the phenology-based algorithm. The spatial comparison between MODIS-based mapping results and high spatial-resolution data showed that the overall classification accuracy (CA) was 91.69%. The CA of SCR, DCR, and IRC was 91.25%, 92.00%, and 92.50%, respectively. The total MODIS-derived rice area had a good quantitative consistency with statistical data (R-2 = 0.86, P < 0.01) and land-use data (R-2 = 0.63, P < 0.01). The research demonstrated the promise of the MODIS dataset in mapping croplands mixed with paddy fields and rice-crayfish fields over large areas.
WOS关键词AREA ; AGRICULTURE ; EXTRACTION ; FIELDS
WOS研究方向Agriculture
WOS记录号WOS:000937413700001
出版者SPRINGER HEIDELBERG
源URL[http://ir.igsnrr.ac.cn/handle/311030/190288]  
专题资源与环境信息系统国家重点实验室_外文论文
作者单位1.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Innovat Acad Precis Measurement Sci & Technol, Key Lab Monitoring & Estimate Environm & Disaster, 340 XuDong Rd, Wuhan 430077, Hubei, Peoples R China
推荐引用方式
GB/T 7714
Shao, Qihui,Li, Rendong,Qiu, Juan,et al. Large-scale mapping of new mixed rice cropping patterns in southern China with phenology-based algorithm and MODIS dataset[J]. PADDY AND WATER ENVIRONMENT,2023,N/A.
APA Shao, Qihui.,Li, Rendong.,Qiu, Juan.,Han, Yifei.,Han, Dongfeng.,...&Chi, Hong.(2023).Large-scale mapping of new mixed rice cropping patterns in southern China with phenology-based algorithm and MODIS dataset.PADDY AND WATER ENVIRONMENT,N/A.
MLA Shao, Qihui,et al."Large-scale mapping of new mixed rice cropping patterns in southern China with phenology-based algorithm and MODIS dataset".PADDY AND WATER ENVIRONMENT N/A(2023).

入库方式: OAI收割

来源:地理科学与资源研究所

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