摘要
本研究利用无人机低空遥感平台获取不同生育期玉米冠层多光谱和可见光图像,提取植被指数和纹理特征,分析不同植被指数和纹理特征在水分胁迫条件下对玉米的植株水分的敏感性特征,筛选出具有最高相关性的植被指数和纹理特征,利用线性回归法构建玉米含水量监测模型,以期为农田精准灌溉提供技术支撑。
This study,utilizing a drone low altitude remote sensing platform to obtain multispectral and visible light images of maize canopy at different growth stages,extracted vegetation index and texture features,analyzed the sensitivity characteristics of different vegetation index and texture features to maize plant moisture under water stress conditions,selected the vegetation index and texture features with the highest correlation,and constructed a maize moisture content monitoring model using linear regression method hoping to provide technical support for precision irrigation of farmland.
作者
杨淑婷
海云瑞
王微
王蓉
周洋
Yang Shuting;Hai Yunrui;Wang Wei;Wang Rong;Zhou Yang(Insitite of Agricultural Economy and Information Technology,Ningxia Academy of Agriculture and Forestry Sciences,Yinchuan,Ningxia 750002;Supervision,Inspection and Testing Center of Agricultural Products Quality,Ministry of Agriculture and Rural Affairs(Yinchuan),Yinchuan Ningxia 750002;Tongxin County Service Center for Introducing Agricultural Technology,Tongxin,Ningxia 751300)
出处
《宁夏农林科技》
2022年第10期5-9,共5页
Journal of Ningxia Agriculture and Forestry Science and Technology
基金
宁夏自然科学基金项目(2021AAC03258)
宁夏农林科学院科技创新引导项目(NKYJ-20-10)。
关键词
无人机多光谱
植被指数
纹理特征
作物含水量
Drone multispectral
Vegetation index
Texture features
Crop moisture content
