【摘要】 运用简便、快捷的无损测试提供的归一化植被指数(normalized difference vegetation index, NDVI)方法,对 Beer-Lambert 定律进行定量化改进,构建了以 NDVI 为自变量的 LAI 预测模型,并采用不同年份、不同株型的玉米数据对其改进结果进行检验。结果表明,当生长 55 d 时,叶向值(LOV)显著不同的 3 种株型的 NDVI、LAI 和消光系数 K 的差异均最大;披散型(LOV≤30°)NDVI 饱和点的出现较中间型和紧凑型为早;利用 NDVI 改进 Beer-Lambert 定律的定量预测模型能够敏感反映植株冠层结构参数的动态变化,且最适用于紧凑型品种。随着玉米育种目标更偏向培育偏紧凑型品种,其改进结果在育种栽培实际中更有利用价值。更多还原

【Abstract】 In this paper, a simple, quick, non-destructive approach, using remotely sensed normalized difference vegetation index (NDVI), was proposed to rebuild quantitatively Beer-Lambert law, thereafter, by means of statistical analysis, the rebuilt Beer-Lambert law was verified with various years’ independent data set. The results indicated that NDVI could give expression to the dynamic variation of plant canopy structural parameters. NDVI increased gradually after sowing of maize, up to 55 days, thereafter, declined sharply towards physiological maturity. At the time of 55 days, the difference in NDVI, LAI and K among the three plant types was the largest, respectively. Additionally, NDVI, LAI and K were different from various LOV (leaf orientation value), respectively. NDVI of flat-type cultivars (LOV≤30°) in reaching saturation point was earlier than the others. It was feasible to rebuild Beer-Lambert law through NDVI, and most suitable for erectophile-type cultivars. Recently, due to more and more erectophile-type cultivars bred by researchers, the rebuilt Beer-Lambert law related to NDVI played a more and more important role in practical application.更多还原