...
首页> 外文期刊>Crop Science >Relationships between Normalized Difference Vegetation Index and Visual Quality in Cool-Season Turfgrass: I. Variation among Species and Cultivars
【24h】

Relationships between Normalized Difference Vegetation Index and Visual Quality in Cool-Season Turfgrass: I. Variation among Species and Cultivars

机译:凉季草坪草的归一化差异植被指数与视觉质量之间的关系:I。物种和品种间的差异

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

Canopy spectral reflectance may provide an objective means to evaluate visual quality of turf-grass, but evaluations of visual quality may be confounded by differences in reflectance among species or cultivars. In this 3-yr study near Manhattan, KS, we examined effects of species and cultivars on relationships between normalized difference vegetation index (NDVI) and visual quality ratings in Kentucky bluegrass (Poa pratensis L., 'Apollo'), two Kentucky bluegrass x Texas bluegrass (Poa arachnifera Torr.) hybrids ('Thermal Blue' and 'Reveille'), and tall fescue (Festuca arundinacea Schreb., 'Dynasty'). A broad range of visual quality was imposed on all four grasses through deficit irrigation and NDVI was measured using broadband spectral radiometry across this range for each grass. Distinct linear regression models of visual quality were found for each grass, and models were also distinct among years in each grass. Relationships between NDVI and visual quality were stronger in the bluegrasses (r(2) = 0.41 to 0.83) because they had a greater range in quality under deficit irrigation than tall fescue. The 95% confidence intervals surrounding predictions of visual quality from NDVI ranged from +/- 1.25 to 2.10 (on a 1 to 9 scale). Results indicated that the requirement to develop separate models for each grass and in each year, combined with relatively wide confidence intervals, represents a practical limitation to predicting visual quality with NDVI.
机译:冠层光谱反射率可以提供一种客观的方法来评估草皮草的视觉质量,但是视觉质量的评估可能会因物种或品种之间的反射率差异而混淆。在堪萨斯州曼哈顿附近的这项为期3年的研究中,我们研究了物种和品种对肯塔基州蓝草(Poa pratensis L.,'Apollo'),两只肯塔基州蓝草x的归一化差异植被指数(NDVI)和视觉质量等级之间关系的影响德州蓝草(Poa arachnifera Torr。)杂种('Thermal Blue'和'Reveille')和高羊茅(Festuca arundinacea Schreb。,'Dynasty')。通过亏缺灌溉对所有四棵草都施加了广泛的视觉质量,并使用宽带光谱辐射法在每棵草的整个范围内对NDVI进行了测量。在每棵草中发现了不同的视觉质量线性回归模型,并且每棵草中的模型在年份之间也不同。在草丛中,NDVI与视觉质量之间的关系更强(r(2)= 0.41至0.83),因为在亏缺灌溉下它们的质量范围比高羊茅草更大。 NDVI的视觉质量预测的95%置信区间为+/- 1.25至2.10(以1至9的比例)。结果表明,需要为每棵草和每年开发单独的模型,并结合相对较宽的置信区间,这代表了使用NDVI预测视觉质量的实际限制。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号