水稻遥感估产模拟模式比较
Comparsion of yield estimation simulated models of rice by remote sensing
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摘要: 通过大田小区试验，测定了2个品种、3个供氮水平处理的水稻抽穗后不同时期冠层的光谱反射率、叶面积指数及最后的理论产量和实际产量，模拟MSS、TM、SPOT、资源一号CCD相机、IKONOS、MODIS和高光谱的波段来构建光谱差值植被指数DVI、比值植被指数RVI、差值归一化植被指数NDVI和绿度G，并模拟建立遥感估产模式。结果表明：单变量估产模式以差值植被指数DVI效果最好，蜡熟期估产效果要优于抽穗期和灌浆期；多时期复合估产模式估产效果要优于单一生育期；成熟期各种数据的DVI估产模式具有相近估产精度，达91%以上，其中MSS波段的估产精度最高。Abstract: The hyperspectral reflectances of the canopies of two varieties of rice were measured by a ASD FieldSpec Pro FRTM in field under 3 nitrogen support levels in different stages after heading. The leaf area indices LAI corresponding to the hyperspectral reflectance, and the ultimate theoriacl yield and real yield were determined. The spectral difference vegetation index DVI, ratio of vegetation index RVI, normalized difference vegetation index NDVI and greenness G were constructed by the data of MSS wavebands, TM wavebands, SPOT wavebands, CCD wavebands on China-Brazil Resources NO.1, IKONOS wavebands, MODIS wavebands and hyperspectral wavebands. The yield estimation models of rice were established by simulating the method of remote sensing. The correlation between the yields and the hyperspectral data and vegetation indices of rice and the accuracies of yield estimation were analyzed. The yield estimation result by DVI was the best in the yield estimation models of single variable, and the results at mature stage were better than those at heading and milking stage. The results of multiplicate yield estimation model of multi-stages were better than that of single stage. They were the same results, the accuracies above 91%, for all DVI yield estimation models simulating all above wavebands for rice at mature stage, and the accuracy of MSS wavebands was the best.
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Keywords:
- rice /
- yield estimation /
- spectral reflectance /
- model /
- vegetation index
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