农业工程学报2011，Vol.27Issue(1)：223-229,7.DOI:10.3969/j.issn.1002-6819.2011.01.036
基于多种光谱仪的水稻前期植株氮积累量监测
Monitoring plant nitrogen accumulation with different canopy spectrometers at early growth stages in rice
摘要
Abstract
The objective of this paper is to quantify the relationship between plant nitrogen accumulation (PNA) and canopy spectral reflectance at early growth stages in rice, and provide a technical support for decision making on nitrogen dressing management.Based on seven field experiments with different rice cultivars and nitrogen rates in five different growing seasons, the canopy spectral reflectance during the stages of tillering and elongation were measured with three different canopy spectral sensors (Fieldspec FR 2500, MSR-16 and GreenSeeker RT 100), and the plants were sampled for PNA measurement simultaneously.Then the relationships beween PNA and vegetation indices were analyzed.The results showed that some vegetation indices were closely related to PNA, but there were significant differences among the estimation models based on different canopy sensors.For the hyperspectral sensor (Fieldspec FR 2500), DVI(760, 740) had a good performance on model development, with determination coefficient (R2) of 0.79, but the performance of model testing was poor, with R2 and RMSE of 0.15 and 2.11 g/m2, respectively.For the multispectral sensor (MSR-16), DVI(760, 710) could be used for PNA estimation, with R2 of 0.94 for model development, and with R2 and RMSE of 0.94 and 0.76 g/m2 for model testing, respectively.NDVI(770, 660) from the active spectral sensor (RT 100) gave the best estimation of PNA, with R2 of 0.97 for model development, and with R2 and RMSE of 0.97 and 0.62 g/m2 for model testing, respectively.These results would be helpful for selection of proper spectral sensors in PNA monitoring during early growth stages of rice.关键词
光谱仪/氮/监测/模型/生长Key words
spectrometer/ nitrogen/ monitoring/ models/ growth分类
农业科技引用本文复制引用
陈青春,田永超,顾凯健,王薇,姚霞,曹卫星,朱艳..基于多种光谱仪的水稻前期植株氮积累量监测[J].农业工程学报,2011,27(1):223-229,7.基金项目
教育部新世纪优秀人才支持计划(NCET-08-0797),国家自然科学基金项目(30900868),江苏省创新学者攀登项目(BK20081479),高校博士点基金项目(20070307035)资助. （NCET-08-0797）
