检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:徐鑫[1] 郝瑶 唐恬 方小梅 易泽林[1] XU Xin;HAO Yao;TANG Tian;FANG Xiaomei;YI Zelin(College of Agronomy and Biotechnology,Southwest University,Chongqing 400715,China)
机构地区:[1]西南大学农学与生物科技学院,重庆400715
出 处:《西南大学学报(自然科学版)》2023年第9期36-45,共10页Journal of Southwest University(Natural Science Edition)
基 金:重庆市自然科学基金项目(CSTB2022NSCQ-MSX1034);西南大学教育教学改革研究项目(2022JY096).
摘 要:荞麦是一种重要的药食兼用作物,传统的产量估测方法往往耗时长且效率较低.无人机多光谱技术可以快速获取植被信息,提高产量估测的效率.以无人机搭载高光谱仪作为遥感技术平台,利用4个荞麦品种3个不同生育时期的多光谱图像,建立了估算荞麦产量的监测模型.结果表明:不同发育苗期作物指数和作物实测产量的相关性均较高,苗期的NDI以及VARI与甜荞2号实测产量的相关性最高.综合考虑,选择苗期建模,甜荞选择作物指数VARI,建立的监测模型(y=1.2694 x+0.351,R^(2)=0.675)最佳;苦荞选择作物指数GNDVI,建立的监测模型(y=6.5459 x-1.604,R^(2)=0.567)最佳.该模型可为荞麦产量遥感监测提供技术支撑.Buckwheat is an important crop used in both medicine and food.Traditional production estimation methods are often time-consuming and inefficient.UAV multi-spectral technology can obtain vegetation information quickly and improve the efficiency of yield estimation.In this study,the monitoring model of buckwheat yield estimation was established by using the multi-spectral images of 4 buckwheat varieties at 3 different growth stages using the high spectral spectrometer mounted on UAV as the remote sensing technology platform.The results showed that the correlation analysis between crop index and measured crop yield at different seedling stages was good.The correlation between NDI and VARI at seedling stage with measured crop yield of Tartary buckwheat 2 was the highest.The best monitoring model(y=1.2694 x+0.351,R^(2)=0.675)was established by selecting crop index VARI at seedling stage.The monitoring model of Tartary buckwheat index GNDVI(y=6.5459 x-1.604,R^(2)=0.567)was the best.This model can provide technical support for monitoring buckwheat yield by remote sensing.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.222