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基于FY-3的冬小麦晚霜冻遥感监测技术
Remote Sensing Monitoring Technology of Winter Wheat Late Frost Based on FY-3
【摘要】 利用FY-3卫星VIRR数据和覃志豪分裂窗算法反演地表温度,并与气象台站实测地面最低温度建立回归分析,利用变分技术订正得到较为准确的遥感地面最低温度,再结合晚霜冻灾害指标和冬小麦发育期,实现晚霜冻遥感监测。通过2018年4月7日一次晚霜冻过程的监测和实地调查,对监测结果进行验证,证明在反映大范围冻害分布和冻害面积、程度等方面,遥感监测具有明显优势和实际服务农业生产的应用价值。
【Abstract】 Using FY-3 satellite VIRR data and Qin Zhihao’s split window algorithm to invert the surface temperature,and establish a regression analysis with the lowest ground temperature measured by meteorological stations,use the variational technique to correct the lowest remotely sensed ground temperature,and combine it with the late frost disaster index And the development period of winter wheat,realize the remote sensing monitoring of late frost.Through a late frost process monitoring and field survey on April 7,2018,the monitoring results were verified,which proved that remote sensing monitoring has obvious advantages in reflecting the large-scale frost damage distribution,area and extent of frost damage,and the application of actual service to agricultural production.value.
- 【文献出处】 农业灾害研究 ,Journal of Agricultural Catastrophology , 编辑部邮箱 ,2021年02期
- 【分类号】S425;S512.11;S127
- 【下载频次】116