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首页> 外文期刊>Turkish Journal of Agriculture & Forestry >Mapping paddy rice yield in Zhejiang Province using MODIS spectral index
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Mapping paddy rice yield in Zhejiang Province using MODIS spectral index

机译:利用MODIS光谱指数绘制浙江省水稻产量图

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The first 19 bands of a moderate-resolution imaging spectrometer (MODIS), covering the visible to shortwave infrared spectral wavelength, were simulated by ground-level reflectance spectra. All spectral indices similar to the normalized difference vegetation index (NDVI) and ratio vegetation index (RVI) formed by every 2 bands were calculated to obtain their determination coefficients, with theoretical and real yield. Results revealed that the combinative near-infrared (NIR) index (band 2 and band 19, symbol b2 and b19, and other similar ones) and the (b16, b19) of MODIS were strongly correlated with rice yield, especially the correlative coefficient that exceeded significant levels in the maturing stage. However, combinative visible light index was correlated with rice yield strongly in the early stage and poorly in the latter stage. The best spectral indices for predicting rice yield in whole rice growth were the combinations of (b2, b19) and (b16, b19). Based on the 2-band combination of the (b2, b19) of MODIS and the constructed estimating model, the rice yield of Zhejiang Province was estimated and its spatial distribution was mapped. Estimated results based on MODIS images were validated using 8 measured validation sites. Errors in the estimated rice yield ranged from 3.2% to 20.3%, with a mean value of 10.1%. The results indicated that the 2-band combination of the (b2, b19) MODIS index was most suitable for monitoring rice yield. Key words: Estimation, rice yield, MODIS, spectral index
机译:通过地面反射光谱模拟了中分辨率成像光谱仪(MODIS)的前19个波段,覆盖了从可见光到短波的红外光谱波长。计算每两个波段形成的与归一化差异植被指数(NDVI)和比率植被指数(RVI)相似的所有光谱指数,以获得其测定系数,具有理论和实际产量。结果显示,MODIS的组合近红外(NIR)指数(波段2和19,符号b2和b19,以及其他类似指数)和MODIS的(b16,b19)与水稻产量密切相关,尤其是相关系数在成熟阶段超过了显着水平。但是,组合的可见光指数在早期与稻米产量相关性很强,而在后期则与稻米产量相关性很弱。预测整个水稻生长中水稻产量的最佳光谱指数是(b2,b19)和(b16,b19)的组合。基于MODIS(b2,b19)的2波段组合和构造的估计模型,对浙江省水稻产量进行了估计,并对其空间分布进行了制图。使用8个测量的验证站点对基于MODIS图像的估计结果进行了验证。估计稻米产量的误差范围为3.2%至20.3%,平均值为10.1%。结果表明(b2,b19)MODIS指数的2波段组合最适合监测水稻产量。关键词:估算水稻产量MODIS光谱指数

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