利用气象卫星遥感进行哈尔滨地区作物生长状况监测及产量预报

Crop growth monitoring and yield forecast by satellite remote sensing technique in Harbin

文章通过对近几年的极轨气象卫星实时接收到的AVHRR/HRPT资料进行处理,数据经校正生成哈尔滨地区归一化植被指数灰度图像,利用种植作物结构不同造成绿度值不同的基本原理,进行作物生长状况监测及产量预报。研究表明,利用气象卫星资料进行作物生长状况监测及产量预报,具有客观、及时和动态跟踪等优点,结合传统气象产量预报方法,使产量预报水平有所提高,准确率可达98%以上。

Based on the AVHRR/HRPT data received by polar-orbiting meteorological satellites in the past few years, correction data were generated to a vegetation index gray image of Harbin region. According to the principle of different crop structure with different green degree value, the crop growth conditions were monitored and the yield was forecasted. The result showed that using satellite data to monitor crop growth conditions and the yield forecast was objective, timely and dynamic tracking, combining with the traditional weather forecasting production methods, the level of forecast output was improved, and the accuracy rate was over 98%.