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首页> 外文期刊>Advanced Science Letters >Regional Yield Estimation and Temporal-Spatial Change Analysis for Maize with MODIS-Normalized Difference Vegetation Index Data
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Regional Yield Estimation and Temporal-Spatial Change Analysis for Maize with MODIS-Normalized Difference Vegetation Index Data

机译：基于MODIS归一化植被指数数据的玉米区域产量估算和时空变化分析

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摘要

MODIS-NDVI data, with a 250 m resolution was used to estimate maize yield in Midwest of Jilin Province from 2001 to 2009 on the basis of light use efficiency model. Compared with the maximum light use efficiency and harvest index which were considered as a constant in previous researches, our study calibrated the two parameters according to field measurements. Comparison of satellite-based and field-based estimates indicated that the estimation accuracy can reach to 94.57% in 2009, which demonstrated that it was feasible to estimate maize yield with remote sensing data. On that basis, the paper analyzed the temporal-spatial change characteristics of maize yield. The results showed that mean air temperature had a significantly greater effect on maize yield compared to total precipitation in growing season in the study area. Spatially, the mean maize yield was increasing from west to east.
机译：根据光利用效率模型，利用分辨率为250 m的MODIS-NDVI数据估算吉林省中西部地区2001年至2009年的玉米产量。与以前的研究中认为恒定的最大光利用效率和收获指数相比，我们的研究根据现场测量结果对两个参数进行了校准。卫星估算与实地估算的比较表明，2009年估算精度可以达到94.57％，这表明利用遥感数据估算玉米单产是可行的。在此基础上，分析了玉米产量的时空变化特征。结果表明，与研究区域生长季的总降水量相比，平均气温对玉米产量的影响更大。在空间上，玉米平均单产从西到东在增加。

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