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