基于高光谱和激光雷达遥感的水稻产量监测研究
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李朋磊,张骁,王文辉,郑恒彪,姚霞,朱艳,曹卫星,程涛
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Assessment of Terrestrial Laser Scanning and Hyperspectral Remote Sensing for the Estimation of Rice Grain Yield
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LI PengLei,ZHANG Xiao,WANG WenHui,ZHENG HengBiao,YAO Xia,ZHU Yan,CAO WeiXing,CHENG Tao
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表6 光谱数据产量模型应用于不同数据集得到的RMSE与RRMSE值
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Table 6 Accuracy assessments of RMSE(t·hm-2) and RRMSE(%) values for the estimation of yield in different datasets based on hyperspectral models
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模型 Models | 如皋Rugao | 兴化Xinghua | 抽穗期Heading | 灌浆前期Early filling | 灌浆后期Late filling | 抽穗期Heading | 灌浆前期Early filling | 灌浆后期Late filling | RMSE | RRMSE | RMSE | RRMSE | RMSE | RRMSE | RMSE | RRMSE | RMSE | RRMSE | RMSE | RRMSE | M11 (VI & LR) | 2.97 | 31.70 | 2.01 | 21.05 | 1.91 | 20.01 | 1.84 | 17.45 | 1.70 | 16.14 | 2.04 | 19.31 | M2 (VI & RF) | 3.07 | 32.20 | 2.18 | 22.90 | 2.16 | 22.65 | 2.14 | 20.30 | 3.04 | 28.84 | 2.25 | 21.30 | M3 (WF & LR) | 1.91 | 20.04 | 1.84 | 19.33 | 1.67 | 17.54 | 1.69 | 16.02 | 1.50 | 14.29 | 1.42 | 13.45 | M4 (WF & RF) | 3.04 | 31.92 | 2.37 | 24.88 | 2.10 | 21.10 | 2.11 | 20.00 | 2.05 | 19.42 | 1.93 | 18.29 |
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