[1]马航,陈春玲,许童羽,等.基于叶片尺度的东北粳稻产量估测[J].江苏农业学报,2017,(01):81-86.[doi:10.3969/j.issn.1000-4440.2017.01.013 ]
　MA Hang,CHEN Chun-ling,XU Tong-yu,et al.The yield estimation research of japonica in northeast China at leaf scale[J].,2017,(01):81-86.[doi:10.3969/j.issn.1000-4440.2017.01.013 ]
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基于叶片尺度的东北粳稻产量估测()
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江苏农业学报[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2017年01期
页码:
81-86
栏目:
耕作栽培·资源环境
出版日期:
2017-02-28

文章信息/Info

Title:
The yield estimation research of japonica in northeast China at leaf scale
作者:
马航1; 陈春玲12; 许童羽12; 于丰华1; 马明洋1; 郭雷1
（1.沈阳农业大学信息与电气工程学院，辽宁沈阳110161；2.沈阳农业大学辽宁省农业信息化工程技术中心，辽宁沈阳110161）
Author(s):
MA Hang1; CHEN Chun-ling12; XU Tong-yu12; YU Feng-hua1; MA Ming-yang1; GUO Lei1
(1.College of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang 110161, China;2.Agricultural Informatization Engineering Technology Center in Liaoning Province, Shenyang 110161,China)
关键词:
NDVI; PRI; 粳稻叶片; 估产
Keywords:
NDVI; PRI; japonica rice leaf; yield estimation
分类号:
S511.2+2
DOI:
10.3969/j.issn.1000-4440.2017.01.013
文献标志码:
A
摘要:
及时准确地估测水稻产量是服务现代农业的重要内容，对制定科学的粮食政策具有重要的现实意义。本研究以东北粳稻为例，利用试验区粳稻叶片植被指数归一化差值植被指数(NDVI)和光化学植被指数(PRI)估测粳稻产量。基于2015年粳稻生长关键期6-9月的叶片NDVI和PRI，结合试验小区产量数据，建立了基于试验区叶片NDVI和PRI的粳稻产量估算模型。单月NDVI与产量一元线性模型的R2范围为0.455~0.581，平均估产精度为96.36%。单月PRI与产量一元线性模型的R2范围为0.396~0.709，平均估产精度为96.68%。单月NDVI和PRI复合估产二元线性模型的R2范围为0.655~0.784，平均估产精度为97.26%。利用不同月份组合的NDVI累积和与PRI累积和建立的粳稻产量模型R2范围为0.765~0.949，估产精度均在97.48%以上。所建参数模型中拟合效果最好的是6月、8月、9月NDVI累积和与PRI累积和复合的估产模型，R2为0.949，估产精度高达98.82%，此模型可作为粳稻估产的一种参考模型。
Abstract:
Estimating rice yield timely and accurately is an important part of modern agriculture research and is also significant in food policy formulation. The study used normalized difference vegetation index and photochemical reflectance index of japonica rice leaf in test area to estimate rice yield. Yield estimation models were made, which based on NDVI and PRI data from June to September, 2015. The range of the correlation coefficients (R2) of onevariable linear model between yield and NDVI, PRI was 0.455-0.581 and 0.369-0.709. The estimation accuracy monthly was 96.36% and 96.68%, respectively. The range of the correlation coefficients (R2) of twovariable linear model between yield and NDVI, PRI was 0.655-0.784 and the estimation accuracy was 97.26%.The correlation coefficients of yield model between accumulated NDVI and PRI of different months and japonica rice yield arranged from 0.765 to 0.949 and the accuracy was all above 97.48%.The best model was the composite yield estimation model using the NDVI and PRI cumulative sum(CUSUM) of three months, June, August and September, its R2 was 0.949 and the estimation accuracy was 98.82%, which could be used as a reference model of japonica rice yield estimation.

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备注/Memo

备注/Memo:
收稿日期：2016-05-04 基金项目：国家重点研发计划项目（2016YFD020060307）；北京农业质量标准与技术研究中心开放性课题项目(2015) 作者简介：马航（1989-），男，山东枣庄人，硕士，从事农业航空技术研究。 （Tel）15040165263；（E-mail）1057934411@qq.com 通讯作者：陈春玲，（Tel）13700031971；（E-mail）snccl@163.com
更新日期/Last Update: 2017-04-12