以内蒙古春小麦产区陈巴尔虎旗为研究实例,采用遥感方法,利用分辨率30 m的国产环境减灾卫星的NDVI数据对春小麦单产进行预测。研究选取了该卫星2009年7月29日春小麦乳黄熟期的NDVI数据,同时,建立其与春小麦单产间关系,运用数理统计与回归分析方法构建了春小麦乳黄熟期的NDVI与其单产的估产模型。利用地面实测春小麦单产对估产模型估测的单产进行精度检验,结果表明,基于影像提取的NDVI与春小麦实测单产有较好的抛物线状(y=cx2+bx+a)相关关系,NDVI与春小麦实测单产的相关关系达到显著水平,其相关系数R为0.87,单产相差160 kg/hm2,相对误差为-3.89%。表明利用国产环境减灾卫星的NDVI与实测春小麦单产建立的估产模型,对成熟前春小麦的单产进行估测,其估产精度也同样可达到与利用国外卫星的预估效益。
Taking Chen Barag Banner (County) of Inner Mongolia, one of the most important spring wheat producing areas as an example, the spring wheat yield (per unit area yield) was estimated by using China’s environmental disaster mitigation satellite data with a resolution of 30 m. The NDVI data of spring wheat at milk ripening period of the satellite on 2009-07-29 were selected, and the relation between NDVI values and wheat yield data was built up. And the estimation model of spring wheat yield was established by using mathematical statistics and regression methods, with the precision validated estimation model by the ground survey spring wheat yield data. The results show that the image extracted NDVI has good singular parabolic line relation, y=cx2+bx+a with measured per hm2 yield of spring wheat. NDVI is closesly related with measurement of spring wheat yield, with the correlation coefficient R being 0.87, the yield estimation difference being -160 kg/hm2, and the error was -3. 89%. This indicates that the precision of yield estimation of premature spring wheat using the NDVI of China’s environmental disaster mitigation satellite and the model for measuring the yield of spring wheat can also gain the same predicted efficiency by using any foreign remote-sensing satellites.
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