基于不同生育阶段冠层光谱和碳通量的水稻产量估算

徐恩相, 周蕾, 章晓炜, 张国萍, 仲杜伟, 黄智, 刘派, 迟永刚

Estimation of rice yield based on canopy reflectance spectra and carbon flux in diverse growth phases

XU En-Xiang, ZHOU Lei, ZHANG Xiao-Wei, ZHANG Guo-Ping, ZHONG Du-Wei, HUANG Zhi, LIU Pai, CHI Yong-Gang

图4 籽粒产量(A-C)和地上生物量(D-F)与反射指数和碳通量参数以及植被生理参数在不同生育阶段内的决定系数(柱状图)和均方根误差(折线图)。*, 线性回归结果显著(p < 0.05)。ER, 生态系统呼吸; EVI, 增强型植被指数; GPP, 总初级生产力; LUE, 光能利用率; NDVI, 归一化植被指数; NEE, 净生态系统碳交换; NIRv, 植被近红外反射率; SIF, 日光诱导叶绿素荧光; SIFy, 日光诱导叶绿素荧光产率。

Fig. 4 Coefficient of determination (bar plot) and root mean square error (line chart) of grain yield (A-C) and aboveground biomass (D-F) with reflectance index, carbon flux parameters and vegetation physiological parameters at different growing phases. *, linear regressions that are significant (p < 0.05). ER, ecosystem respiration; EVI, enhanced vegetation index; GPP, gross primary productivity; LUE, light use efficiency; NDVI, normalized difference vegetation index; NEE, net ecosystem exchange; NIRv, near-infrared reflectance of vegetation; SIF, solar-induced chlorophyll fluorescence; SIFy, solar-induced chlorophyll fluorescence yield.