吴全. 一元回归分析系统及其在冬小麦遥感监测研究中的应用[J]. 农业工程学报, 1998, 14(4): 103-107.
    引用本文: 吴全. 一元回归分析系统及其在冬小麦遥感监测研究中的应用[J]. 农业工程学报, 1998, 14(4): 103-107.
    Wu Quan. One Element Regression Analysis System and Application in WinterWheat RemoteSensing Monitoring[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 1998, 14(4): 103-107.
    Citation: Wu Quan. One Element Regression Analysis System and Application in WinterWheat RemoteSensing Monitoring[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 1998, 14(4): 103-107.

    一元回归分析系统及其在冬小麦遥感监测研究中的应用

    One Element Regression Analysis System and Application in WinterWheat RemoteSensing Monitoring

    • 摘要: 农情预报历来是农业部门最关心的问题之一。目前我国尚无一套完整的利用卫星数据对大宗农作物进行遥感动态监测的业务化运行系统。该文研究的一元回归分析系统是在FoxPro2.5b平台开发的数据库管理系统,该系统现有3级共13个模块和8个核心数据库。系统投入运行后,利用气象卫星数据,可用于冬小麦面积估算和产量预报研究。研究结果表明,利用RDBMS开发实用型软件,对问题进行系统化分析,处理或运算大量数据,可以大大提高工作效率。遥感数据再处理以及合理划分试验同步区是提高作物面积(产量)与绿度值回归模型信度的重要途径。

       

      Abstract: Agriculture information forecast is one of the most cared problems. Up to now there is not any integrated system using satellite data to remotesensing monitor for major agricultural crops in China. One Element Regression Analysis System (OERAS) was developed RDBMS based on FoxPro 2.5b. The OERAS gave service to Forecast Research on System of Agriculture Information Monitoring. OERAS consists of 3 classes (totaled 13 parts) and 8 core data tables. Using atmosphere satellite data, OERAS brought distinct affects on researching of winterwheat remotesensing monitoring. It was declared that developing utility software based on RDBMS to process a great deal data can advance efficiency. Dividing duplicated areas reasonably and reprocessing the remotesensing data are important ways for improving credit limit of regression model between winterwheat area (or yield) and Green Value.

       

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