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
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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 |
DOI | 10.1007/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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