中国农业期刊集成服务平台

当前位置: 首页 > 文章 > Models for estimating the leaf NDVI of japonica rice on a canopy scale by combining canopy NDVI and multisource environmental data in Northeast China 国际农业与生物工程学报 2016,9 (5)

Position: Home > Articles > Models for estimating the leaf NDVI of japonica rice on a canopy scale by combining canopy NDVI and multisource environmental data in Northeast China International Journal of Agricultural and Biological Engineering 2016,9 (5)

Models for estimating the leaf NDVI of japonica rice on a canopy scale by combining canopy NDVI and multisource environmental data in Northeast China

作者：

Fenghua Yu;Tongyu Xu;Ye Cao;Guijun Yang;Wenli Du;Wang Sh

单位：

2. Beijing Research Center for Information Technology in Agriculture, Beijing 100097, China;1.College of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang 110866, China;3. College of Agronomy, Shenyang Agricultural University, Shenyang 110866, Chin

关键词：

ndvi;rice leaf;environmental data;canopy scale;models;japonica ric

摘要：

Remote sensing of rice traits has advanced significantly with regard to the capacity to retrieve useful plant biochemical, physiological and structural quantities across spatial scales. The rice leaf NDVI (normalized difference vegetation index) has been developed and applied in monitoring rice growth, yield prediction and disease status to guide agricultural management practices. This study combined rice canopy NDVI and environmental data to estimate rice leaf NDVI. The test site was a japonica rice experiment located in the eastern city of Shenyang, Liaoning Province, China. This paper describes (1) the use of multiple linear regression to establish four periods of rice leaf NDVI models with good accuracy (R-2=0.782-0.903), and (2) how the key point of the rice growth period based on these models was determined. The techniques for modeling leaf NDVI at the point of remote canopy sensing were also presented. The results indicate that the rice leaf NDVI has a high correlation with the canopy NDVI and multisource environmental data. This research can provide an efficient method to detect rice leaf growth at the canopy scale in the future.

相似文章

Model of soybean NDVI change based on time series. [Zhitao Zhang, Yubin Lan, Pute Wu, Wenting Ha] 国际农业与生物工程学报 2014,7 (5)
Vegetation change prediction with geo-information techniques in the Three Gorges area of China [Mushtak T. Jabbar, Zhihua Shi, Tianwei Wang, Chong-Fa Ca] 土壤圈(英文版) 2006,16 (4)
Multi-Temporal Detection of Rice Phenological Stages Using Canopy Spectrum [Wang Lin, Fucun Zhang, Yuanshu Jing, Xiaodong Jiang, Shuangyan Yang, Han Xia] 水稻科学(英文版) 2014,21 (2)

导出引用

计量

文章访问数: 10

HTML全文浏览量: 0

PDF下载量: 0

Models for estimating the leaf NDVI of japonica rice on a canopy scale by combining canopy NDVI and multisource environmental data in Northeast China

相似文章

所属期刊

国际农业与生物工程学报

推荐期刊

土壤圈(英文版)

水稻科学(英文版)