基于多源卫星遥感影像的广西中南部地区甘蔗识别及产量预测

罗维, 李修华, 覃火娟, 张木清, 王泽平, 蒋柱辉

Identification and yield prediction of sugarcane in the south-central part of Guangxi Zhuang Autonomous Region, China based on multi-source satellite-based remote sensing images

LUO Wei, LI Xiuhua, QIN Huojuan, ZHANG Muqing, WANG Zeping, JIANG Zhuhui

表8 各植被指数的线性转化模型及在测试集中的转化结果

Tab.8 The linear transformation models of different vegetation indices and their transformation results in test sets

植被指数 线性转化模型 R2 MRE/% 转化前 转化后 RVI y = 0.976 9x-0.200 9 0.994 6.71 2.82 NDVI y = 1.044 7x-0.046 9 0.996 2.87 1.03 EVI y = 0.961 7x+0.032 4 0.945 4.66 3.84 MSAVI y = 0.968 9x+0.026 6 0.985 1.09 0.99 ARVI y = 1.029 3x-0.014 6 0.999 2.53 2.43 OSAVI y = 1.014 8x-0.013 4 0.993 1.90 1.16