基于冠层反射光谱的大豆生物量预测模型研究  被引量:4

Study on Soybean Biomass Forecasting Model Based on Canopy Reflectance Spectra

在线阅读下载全文

作  者:徐新娟 张晋玉 晁毛妮 王小龙 黄中文 XU Xin-juan;ZHANG Jin-yu;CHAO Mao-ni;WANG Xiao-long;HUANG Zhong-wen(School of Life Science and Technology,Henan Institute of Science and Technology/Collaborative Innovation Center of Modern Biological Breeding of Henan Province,Xinxiang,Henan 453003)

机构地区:[1]河南科技学院生命科技学院/现代生物育种河南省协同创新中心,河南新乡453003

出  处:《黑龙江农业科学》2017年第9期119-123,共5页Heilongjiang Agricultural Sciences

基  金:河南省教育厅高等学校重点科研资助项目(15B210002;17A210010)

摘  要:生物量与产量密切相关,建立生物量无损预测模型对于大豆产量预测及栽培管理均有重要意义。通过分析大豆生物量积累量与冠层光谱反射率及其衍生的比值植被指数(RVI)、归一化植被指数(NDVI)及差值植被指数(DVI)之间的关系,确立大豆生物量积累量的敏感波段及预测模型。结果表明:冠层光谱反射率在560nm时与大豆地上生物量相关系数最大(R=-0.91,P<0.05),三个可见光波段(485、560和660nm)和两个近红外波段(830和1 650nm)组成的比值植被指数RVI(830和560nm)与大豆生物量积累量的相关系数显著。通过逐步回归分析确立大豆生物量的预测模型,560nm反射率与大豆地上生物量相关关系的决定指数R2高达0.85,RVI 830_560与大豆地上生物量相关关系的决定指数R2为0.77。Biomass is closely related to the production.To establish nondestructive forecasting model of the biomass have the important meaning for soybean production forecast and cultivation management.By analyzing the relationships of the dry matter accumulation in aboveground part of soybean with the canopy reflectance of single waveband and all twoband combinations in ratio vegetation index(RVI),normalized difference vegetation index(NDVI)and differential vegetation index(DVI),the characteristic spectral wavebands for indicating the dry matter accumulation in aboveground part of soybean were determined,and the corresponding prediction model was established.The results showed that canopy spectral reflectance with soybean biomass had the highest correlation coefficient at560nm(R=-0.91,P<0.05);RVI,comprised of three visible wavelengths(485nm,560nm and660nm)and two near infrared wavelengths(830nm and1650nm),had significant correlation with soybean biomass accumulation.The soybean biomass prediction model was established by stepwise regression analysis.The determination coefficient R2of560nm reflectivity and biomass was as high as0.85,and of RVI830_560and biomass was0.77.

关 键 词:遥感 植被指数 生物量 预测模型 大豆 

分 类 号:S565.1[农业科学—作物学] TP79[自动化与计算机技术—检测技术与自动化装置]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象