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Relationship between Rice Spectral and Rice Yield Using Modis Data

机译:利用MODIS数据的水稻光谱与水稻产量的关系

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Information on the distribution of paddy rice fields is essential for food security and water resource management. Remote sensing is a technique that can be used to obtain rice production information from space. In the present study, Moderate Resolution Imaging Spectroradiometer (MODIS) images were used to evaluate the relationship between the rice spectral (normalized difference vegetation index (NDVI)) of Landsat images and rice yield. The results indicated that the relationship between the NDVI and rice age was best described by a quadratic equation, and R 2 values ranging from 0.916 to 0.973 were obtained. Three growth variables were evaluated in the present study, and the total NDVI (?NDVI) showed the strongest exponential relationship to rice yield (R 2 = 0.9203) and the lowest standard error of estimation (SE = 0.076). Alternatively, NDVI max and Age NDVImax presented lower R 2 values (0.8919 and 0.5776, respectively) and higher SEs of estimation (0.089 and 0.175, respectively). Thus, the results indicate that rice yield can be estimated from the following equation: y = 0.4745e 0.0504x , where y is the rice yield and x is the ?NDVI.
机译:关于稻田分布的信息对于粮食安全和水资源管理至关重要。遥感是一种可用于从太空获取水稻生产信息的技术。在本研究中,中分辨率成像光谱仪(MODIS)图像用于评估Landsat图像的稻米光谱(归一化植被指数(NDVI))与稻米产量之间的关系。结果表明,NDVI与水稻年龄之间的关系最好用二次方程式描述,R 2值在0.916至0.973之间。在本研究中评估了三个生长变量,总NDVI(ΔNDVI)与水稻产量之间的指数关系最强(R 2 = 0.9203),而估计的标准误差最低(SE = 0.076)。另外,NDVI max和Age NDVImax呈现较低的R 2值(分别为0.8919和0.5776)和较高的SE SE(分别为0.089和0.175)。因此,结果表明可以通过以下等式估算水稻产量:y = 0.4745e 0.0504x,其中y是水稻产量,x是ΔNDVI。

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