文章摘要
李树强1,2 李民赞2.一种玉米苗期冠层叶绿素车载 动态诊断光谱指数[J].广东农业科学,2014,41(2):171-174
查看全文    HTML 一种玉米苗期冠层叶绿素车载 动态诊断光谱指数
A vegetation index of corn canopy chlorophyll by vehiclebornedynamic prediction at seedling stage
  
DOI:
中文关键词: 玉米冠层  叶绿素  光谱测量  空间插值
英文关键词: MPRI  canopy  chlorophyll  spectral measurement  spatial interpolation
基金项目:国家科技支撑计划项目2012BAH29B04国家 863计划项目2012AA101901
作者单位
李树强1,2 李民赞2 1.河南科技大学车辆与动力工程学院河南洛阳471003 2.中国农业大学现代精细农业系统集成研究教育部重点实验室北京100083 
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中文摘要:
      为了使用车载平台对玉米叶绿素含量进行快速预测,优化车载系统测量结果,提出了一种适用于玉米 苗期车载动态预测冠层叶片叶绿素含量的光谱指数MPRI,构建了相应的叶绿素含量预测模型,结合空间插值对其 空间分析能力进行了分析和评估。结果表明院基于车载动态获取的冠层光谱指数MPRI,对于单点位置的冠层叶绿素 预测效果较好,模型决定系数R2约为0.81;对于动态测量,车载动态获取信息中的玉米冠层MPRI 值能够通过定值 阈值较为准确地被识别,利用其构建的玉米冠层叶片叶绿素含量预测模型具有较好的单点预测效果。结合反距离加 权插值法进行空间分析,能够得到较佳的空间预测效果,空间分布预测偏差小于7%的数据占总数据量的85%。基于 光谱指数MPRI 构建的车载动态预测冠层叶绿素预测模型具有较好的单点预测效果,结合GPS 位置信息进行空间 分析能够得到较佳的空间预测效果,为车载系统动态测量提供了新的思路。
英文摘要:
      The vehicle-borne system is one of the most important tools for growth monitoring and management. It is an efficient, flexible and economical operation for small regions, but the effect of monitoring is not steady. The background interference on the reflectance will not be suppressed, especially at seeding stage. In order to overcome this problem, a novel spectral index named MPRI (mobil photo chemical reflectance index) was developed in this paper. The results indicated that it had satisfactory prediction accuracy on the corn canopy chlorophyll content at seeding stage by using MPRI, with the average R2 of 0.81. The MPRI showed great potential application in the spatial distribution with inverse distance weighted as well. The amount of data with deviation rate between predication and real value under 7% was about 85% of the entire data. The theoretical analysis and test results proved that the spectral index -MPRI had the characteristics of estimating corn growth by traverse measurement system at seeding stage. It also showed the good effect on solving the dynamic crop growth predication with severe background interference
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