基于高光谱遥感和集成学习方法的冬小麦产量估测研究

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费帅鹏,禹小龙,兰铭,李雷,夏先春,何中虎,肖永贵

Research on Winter Wheat Yield Estimation Based on Hyperspectral Remote Sensing and Ensemble Learning Method

FEI ShuaiPeng,YU XiaoLong,LAN Ming,LI Lei,XIA XianChun,HE ZhongHu,XIAO YongGui

表1 本研究选用的光谱指数

Table 1 Spectral indices used in this study

光谱指数 Spectral index	名称 Name	公式 Formula
NDVI^[23]	归一化光谱指数 Normalized difference vegetation index	$\frac{R_{800}-R_{670}}{R_{800}+R_{670}}$
MCARI^[24]	修正叶绿素吸收比指数 Modified chlorophyll absorption ratio index	$\left[\left(R_{702}-R_{671}\right)-0.2\left(R_{702}-R_{549}\right)\right] \times \frac{R_{702}}{R_{671}}$
NDRE^[25]	归一化红边光谱指数 Normalized difference red edge	$\frac{R_{790}-R_{720}}{R_{790}+R_{720}}$
GNDVI^[26]	绿色归一化光谱指数 Green normalized difference vegetation index	$\frac{R_{750}-R_{550}}{R_{750}+R_{550}}$
MSR^[23]	修正红边比值指数 Modified simple ratio index	$\frac{R_{750} / R_{705}-1}{\sqrt{R_{750} / R_{705}+1}}$
NDRSR^[27]	归一化红边简单比值指数 Normalized difference red-edge simple ratio	$\frac{R_{872}-R_{712}}{R_{872}+R_{712}}$
MTVI^[28]	修正三角光谱指数 Modified triangular vegetation index	1.2[1.2(R₈₀₀-R₅₀₀)-2.6(R₆₇₀-R₅₅₀)]
MTCI2^[29]	MERIS陆地叶绿素指数2 MERIS terrestrial chlorophyll index 2	$\frac{R_{754}-R_{709}}{R_{709}+R_{681}}$
MNDVI^[30]	修正归一化光谱指数 Modified normalized difference vegetation index	$\frac{R_{750}-R_{705}}{R_{750}+R_{705}-2 R_{445}}$
RDVI^[31]	重归一化光谱指数 Renormalized difference vegetation index	$\frac{R_{800}-R_{670}}{\sqrt{R_{800}+R_{670}}}$
VDI^[32]	植被干指数 Vegetation dry index	$\frac{R_{970}-R_{900}}{R_{970}+R_{900}}$
CI^[33]	叶绿素指数 Chlorophyll index	(R₇₄₉-R₇₂₀)-(R₇₀₁-R₆₇₂)
VREI^[34]	沃格尔曼红边指数 Vogelmann red edge index	$\frac{R_{742}}{R_{722}}$
ARVI^[35]	大气抗性光谱指数 Atmospherically resistant vegetation index	$\frac{R_{872}-\left[R_{661}-\left(R_{488}-R_{661}\right)\right]}{R_{872}+\left[R_{661}-\left(R_{488}-R_{661}\right)\right]}$
NDMI^[36]	归一化物质指数 Normalized difference matter index	$\frac{R_{1649}-R_{1792}}{R_{1649}+R_{1792}}$