Comparison of Multi-Methods for Identifying Maize Phenology Using PhenoCams
文献类型：期刊论文
| 作者 | Guo, Yahui1; Chen, Shouzhi1; Fu, Yongshuo H.1,2; Xiao, Yi1; Wu, Wenxiang3; Wang, Hanxi4; de Beurs, Kirsten5 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2022 |
| 卷号 | 14期号:2页码:18 |
| 关键词 | spectral and textural indices maize phenological extraction filtering methods |
| DOI | 10.3390/rs14020244 |
| 通讯作者 | Wu, Wenxiang(wuwx@igsnrr.ac.cn) |
| 英文摘要 | Accurately identifying the phenology of summer maize is crucial for both cultivar breeding and fertilizer controlling in precision agriculture. In this study, daily RGB images covering the entire growth of summer maize were collected using phenocams at sites in Shangqiu (2018, 2019 and 2020) and Nanpi (2020) in China. Four phenological dates, including six leaves, booting, heading and maturity of summer maize, were pre-defined and extracted from the phenocam-based images. The spectral indices, textural indices and integrated spectral and textural indices were calculated using the improved adaptive feature-weighting method. The double logistic function, harmonic analysis of time series, Savitzky-Golay and spline interpolation were applied to filter these indices and pre-defined phenology was identified and compared with the ground observations. The results show that the DLF achieved the highest accuracy, with the coefficient of determination (R-2) and the root-mean-square error (RMSE) being 0.86 and 9.32 days, respectively. The new index performed better than the single usage of spectral and textural indices, of which the R-2 and RMSE were 0.92 and 9.38 days, respectively. The phenological extraction using the new index and double logistic function based on the PhenoCam data was effective and convenient, obtaining high accuracy. Therefore, it is recommended the adoption of the new index by integrating the spectral and textural indices for extracting maize phenology using PhenoCam data. |
| WOS关键词 | UNMANNED AERIAL VEHICLE ; INDUCED CHLOROPHYLL FLUORESCENCE ; RICE ABOVEGROUND BIOMASS ; LAND-SURFACE PHENOLOGY ; CLIMATE-CHANGE ; VEGETATION INDEXES ; SPRING PHENOLOGY ; TIME-SERIES ; CROP PRODUCTION ; GROWTH PERIOD |
| 资助项目 | National Funds for Distinguished Young Youths[42025101] ; National Natural Science Foundation of China[31770516] ; 111 Project[B18006] |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000757008200001 |
| 出版者 | MDPI |
| 资助机构 | National Funds for Distinguished Young Youths ; National Natural Science Foundation of China ; 111 Project |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/170873]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wu, Wenxiang |
| 作者单位 | 1.Beijing Normal Univ, Coll Water Sci, Beijing 100875, Peoples R China 2.Antwerp Univ, Dept Biol, B-2000 Antwerp, Belgium 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 4.Harbin Normal Univ, Heilongjiang Prov Key Lab Geog Environm Monitorin, Heilongjiang Prov Collaborat Innovat Ctr Cold Reg, Sch Geog Sci, Harbin 150025, Peoples R China 5.Univ Oklahoma, Dept Geog & Environm Sustainabil, 100 East Boyd St, Norman, OK 73019 USA |
| 推荐引用方式 GB/T 7714 | Guo, Yahui,Chen, Shouzhi,Fu, Yongshuo H.,et al. Comparison of Multi-Methods for Identifying Maize Phenology Using PhenoCams[J]. REMOTE SENSING,2022,14(2):18. |
| APA | Guo, Yahui.,Chen, Shouzhi.,Fu, Yongshuo H..,Xiao, Yi.,Wu, Wenxiang.,...&de Beurs, Kirsten.(2022).Comparison of Multi-Methods for Identifying Maize Phenology Using PhenoCams.REMOTE SENSING,14(2),18. |
| MLA | Guo, Yahui,et al."Comparison of Multi-Methods for Identifying Maize Phenology Using PhenoCams".REMOTE SENSING 14.2(2022):18. |
入库方式： OAI收割
来源：地理科学与资源研究所
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