| 星-地结合对水稻高温热害监测模型的研究 |
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| 引用本文： | 白玛仁增,顿玉多吉,德例归吉,德吉央宗,益西多吉,边巴次仁. 星-地结合对水稻高温热害监测模型的研究[J]. 中国农学通报, 2023, 39(1): 133-141. DOI: 10.11924/j.issn.1000-6850.casb2022-0739 |
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| 作者姓名： | 白玛仁增 顿玉多吉 德例归吉 德吉央宗 益西多吉 边巴次仁 |
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| 作者单位： | 1.西藏自治区气候中心，拉萨 8500002.中国气象局成都高原气象研究所拉萨分部，拉萨 8500003.西藏自治区气象局，拉萨 8500004.墨竹工卡县气象局，拉萨 850000 |
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| 基金项目： | 第二次青藏高原综合科学考察研究项目“亚洲水塔动态变化与影响子专题西藏高原典型湖泊动态变化影响”(2019QZKK020809);中央引导地方科技项目“基于融雪过程的西藏雪灾时空动态定量预警技术”(XZ202102YD0012C);第二次青藏高原综合科学考察研究项目“西风-季风协同作用及其环境效应”(2019QZKK0106);国家自然科学基金项目“基于多源卫星数据藏北高原地表温度与湿地变化特征研究”(41465006);西藏自治区科技厅重点项目“藏北典型生态区生态环境遥感监测评估”(XZ201703-GA-01) |
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| 摘 要： | 全球气温变暖和高温事件的频繁出现，水稻遭受高温热害而造成严重损失的概率随之增加。笔者基于星-地结合的方法研究水稻高温热害监测模型，模型利用遥感的手段提取水稻种植区、反演水稻抽穗开花期、估算最高气温和平均气温，同时结合自动气象站的数据与遥感估算气温重构更精确、更完整、更客观的最高、平均气温的数据，最终根据水稻高温热害指标判断水稻高温热害并完成模型的构建。此模型能实现水稻抽穗开花期高温热害的定性、定量、程度的监测。对2017年安徽省高温热害的监测和检验结果显示，模型达到了较好的使用效果。
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| 关 键 词： | 水稻 高温热害 模型 遥感 自动气象站 |
| 收稿时间： | 2022-08-25 |
Constructing the Monitoring Model of High Temperature Damage on Rice by Combining Data from Satellites and Ground Automatic Weather Stations |
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| Pema Rigzin,Dhonyo Dorji,Delek Kunkyi,Dekyi Yangzom,Yeshe Dorji,Penpa Tsring. Constructing the Monitoring Model of High Temperature Damage on Rice by Combining Data from Satellites and Ground Automatic Weather Stations[J]. Chinese Agricultural Science Bulletin, 2023, 39(1): 133-141. DOI: 10.11924/j.issn.1000-6850.casb2022-0739 |
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| Authors: | Pema Rigzin Dhonyo Dorji Delek Kunkyi Dekyi Yangzom Yeshe Dorji Penpa Tsring |
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| Affiliation: | 1. Tibet Climate Center, Lhasa 8500002. Institute of Plateau Meteorology, CMA, Lhasa 8500003. Tibet Meteorological Bureau, Lhasa 8500004. Muozhugongka County Meteorological Bureau, Lhasa 850000 |
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| Abstract: | With global warming and frequent occurrence of high temperature events, the probability of rice suffering from high temperature damage and serious losses also increases. This paper studies the monitoring model of rice high temperature damage based on the combination of data from automatic weather stations and satellites. The model used remote sensing to extract rice-planting areas, invert rice heading and flowering stages, and estimate the maximum and average temperature. At the same time, the data of automatic weather stations combined with remote sensing estimation of temperature were used to reconstruct more accurate, more complete and more objective data of the maximum and average temperature. Finally, according to the rice high temperature damage indexes, the rice high temperature damage was estimated and the model was constructed. This model can realize the qualitative, quantitative and degree monitoring of high temperature damage at the heading and flowering stages of rice. The model achieved good results in monitoring and verifying the high temperature damage in Anhui Province in 2017. |
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| Keywords: | rice high temperature damage model remote sensing automatic weather station |
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