Monitoring Hybrid Rice Phenology at Initial Heading Stage Based on Low-Altitude Remote Sensing Data
Accurate monitoring of hybrid rice phenology (RP) is crucial for breeding rice cultivars and controlling fertilizing amount. The aim of this study is to monitor the exact date of hybrid rice initial heading stage (IHS<sub>DAS</sub>) based on low-altitude remote sensing data and analyze t...
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MDPI AG
2020-12-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/13/1/86 |
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| author | Yi Ma Qi Jiang Xianting Wu Renshan Zhu Yan Gong Yi Peng Bo Duan Shenghui Fang |
| author_facet | Yi Ma Qi Jiang Xianting Wu Renshan Zhu Yan Gong Yi Peng Bo Duan Shenghui Fang |
| author_sort | Yi Ma |
| collection | DOAJ |
| description | Accurate monitoring of hybrid rice phenology (RP) is crucial for breeding rice cultivars and controlling fertilizing amount. The aim of this study is to monitor the exact date of hybrid rice initial heading stage (IHS<sub>DAS</sub>) based on low-altitude remote sensing data and analyze the influence factors of RP. In this study, six field experiments were conducted in Ezhou city and Lingshui city from 2016 to 2019, which involved different rice cultivars and nitrogen rates. Three low-altitude remote sensing platforms were used to collect rice canopy reflectance. Firstly, we compared the performance of normalized difference vegetation index (NDVI) and red edge chlorophyll index (CIred edge) for monitoring RP. Secondly, double logistic function (DLF), asymmetric gauss function (AGF), and symmetric gauss function (SGF) were used to fit time-series CIred edge for acquiring phenological curves (PC), the feature: maximum curvature (MC) of PC was extracted to monitor IHS<sub>DAS</sub>. Finally, we analyzed the influence of rice cultivars, N rates, and air temperature on RP. The results indicated that CIred edge was more appropriate than NDVI for monitoring RP without saturation problem. Compared with DLF and AGF, SGF could fit CIred edge without over fitting problem. MC of SGF_CIred edge from all three platforms showed good performance in monitoring IHS<sub>DAS</sub> with good robustness, R<sup>2</sup> varied between 0.82 and 0.95, RMSE ranged from 2.31 to 3.81. In addition, the results demonstrated that high air temperature might cause a decrease of IHS<sub>DAS</sub>, and the growth process of rice was delayed when more nitrogen fertilizer was applied before IHS<sub>DAS</sub>. This study illustrated that low-altitude remote sensing technology could be used for monitoring field-scale hybrid rice IHS<sub>DAS</sub> accurately. |
| first_indexed | 2024-03-10T13:41:24Z |
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| language | English |
| last_indexed | 2024-03-10T13:41:24Z |
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| series | Remote Sensing |
| spelling | doaj.art-32a46501ddb841638ffb051980b8073d2023-11-21T02:57:39ZengMDPI AGRemote Sensing2072-42922020-12-011318610.3390/rs13010086Monitoring Hybrid Rice Phenology at Initial Heading Stage Based on Low-Altitude Remote Sensing DataYi Ma0Qi Jiang1Xianting Wu2Renshan Zhu3Yan Gong4Yi Peng5Bo Duan6Shenghui Fang7School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, ChinaSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, ChinaCollege of Life Sciences, Wuhan University, Wuhan 430079, ChinaCollege of Life Sciences, Wuhan University, Wuhan 430079, ChinaSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, ChinaSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, ChinaSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, ChinaSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, ChinaAccurate monitoring of hybrid rice phenology (RP) is crucial for breeding rice cultivars and controlling fertilizing amount. The aim of this study is to monitor the exact date of hybrid rice initial heading stage (IHS<sub>DAS</sub>) based on low-altitude remote sensing data and analyze the influence factors of RP. In this study, six field experiments were conducted in Ezhou city and Lingshui city from 2016 to 2019, which involved different rice cultivars and nitrogen rates. Three low-altitude remote sensing platforms were used to collect rice canopy reflectance. Firstly, we compared the performance of normalized difference vegetation index (NDVI) and red edge chlorophyll index (CIred edge) for monitoring RP. Secondly, double logistic function (DLF), asymmetric gauss function (AGF), and symmetric gauss function (SGF) were used to fit time-series CIred edge for acquiring phenological curves (PC), the feature: maximum curvature (MC) of PC was extracted to monitor IHS<sub>DAS</sub>. Finally, we analyzed the influence of rice cultivars, N rates, and air temperature on RP. The results indicated that CIred edge was more appropriate than NDVI for monitoring RP without saturation problem. Compared with DLF and AGF, SGF could fit CIred edge without over fitting problem. MC of SGF_CIred edge from all three platforms showed good performance in monitoring IHS<sub>DAS</sub> with good robustness, R<sup>2</sup> varied between 0.82 and 0.95, RMSE ranged from 2.31 to 3.81. In addition, the results demonstrated that high air temperature might cause a decrease of IHS<sub>DAS</sub>, and the growth process of rice was delayed when more nitrogen fertilizer was applied before IHS<sub>DAS</sub>. This study illustrated that low-altitude remote sensing technology could be used for monitoring field-scale hybrid rice IHS<sub>DAS</sub> accurately.https://www.mdpi.com/2072-4292/13/1/86rice phenology (RP)initial heading stage (IHS)normalized difference vegetation index (NDVI)red edge chlorophyll index (CIred edge)maximum curvature (MC) |
| spellingShingle | Yi Ma Qi Jiang Xianting Wu Renshan Zhu Yan Gong Yi Peng Bo Duan Shenghui Fang Monitoring Hybrid Rice Phenology at Initial Heading Stage Based on Low-Altitude Remote Sensing Data Remote Sensing rice phenology (RP) initial heading stage (IHS) normalized difference vegetation index (NDVI) red edge chlorophyll index (CIred edge) maximum curvature (MC) |
| title | Monitoring Hybrid Rice Phenology at Initial Heading Stage Based on Low-Altitude Remote Sensing Data |
| title_full | Monitoring Hybrid Rice Phenology at Initial Heading Stage Based on Low-Altitude Remote Sensing Data |
| title_fullStr | Monitoring Hybrid Rice Phenology at Initial Heading Stage Based on Low-Altitude Remote Sensing Data |
| title_full_unstemmed | Monitoring Hybrid Rice Phenology at Initial Heading Stage Based on Low-Altitude Remote Sensing Data |
| title_short | Monitoring Hybrid Rice Phenology at Initial Heading Stage Based on Low-Altitude Remote Sensing Data |
| title_sort | monitoring hybrid rice phenology at initial heading stage based on low altitude remote sensing data |
| topic | rice phenology (RP) initial heading stage (IHS) normalized difference vegetation index (NDVI) red edge chlorophyll index (CIred edge) maximum curvature (MC) |
| url | https://www.mdpi.com/2072-4292/13/1/86 |
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