高精度卫星遥感数据在农业监测中的优化策略研究  

Research on Optimization Strategies for High-precision Satellite Remote Sensing Data in Agricultural Monitoring

作　　者：琚丽君 高攀 Qu Lijun;Gao Pan(Henan College of Surveying and Mapping,Zhengzhou,Henan,China,450000)

机构地区：[1]河南测绘职业学院,河南郑州450000

出　　处：《仪器仪表用户》2024年第11期63-65,共3页Instrumentation

摘　　要：本文详细介绍了高精度卫星遥感数据在农业监测领域的应用现状、进展及优化方法。文中首先概述了高精度卫星遥感技术,并探讨了其在农业监测中的具体应用场景,如作物长势监测、土壤水分与营养管理、病虫害预警以及土地利用与作物种植面积估算等。其次,文章详细讨论了数据获取与预处理的策略,包括卫星数据获取渠道、数据预处理技术以及特征提取与分析的方法。最后,本文提出了多源数据融合和智能算法应用等高精度卫星遥感数据优化策略,并通过案例分析展示了这些方法在农业决策支持系统中的实际应用。This article introduces in detail the current status,progress,and optimization methods of high-precision satellite remote sensing data in the field of agricultural monitoring.Firstly,the article outlines the high-precision satellite remote sensing technology and explores its specific application scenarios in agricultural monitoring,such as crop growth monitoring,soil moisture and nutrient management,pest and disease warning,as well as land use and crop acreage estimation.Subsequently,the article discusses in detail the strategies for data acquisition and preprocessing,including satellite data acquisition channels,data preprocessing techniques,and methods for feature extraction and analysis.Finally,this article proposes optimization strategies for high-precision satellite remote sensing data,such as multi-source data fusion and the application of intelligent algorithms,and demonstrates the practical application of these methods in agricultural decision support systems through case studies.

关 键 词：高精度卫星遥感 农业监测 数据优化 智能算法 

分 类 号：S127[农业科学—农业基础科学]