基于线性光谱混合模型的油菜种植面积遥感监测方法研究

利用中低分辨率卫星影像进行油菜面积提取时,需要考虑混合像元产生的影响,以提高面积提取的精度。本文以2009年湖北省潜江市油菜种植面积为例,利用中巴地球资源卫星(CBERS-02B)遥感影像,选取线性光谱混合模型进行油菜种植面积的分解计算研究,将结果与基于GVG(GPS、VIDEO、GIS)农情采样系统得到的结果进行对比分析,面积提取精度为97.43%。表明线性光谱混合模型能够高精度地提取油菜的种植面积,不失为一种很好的监测油菜种植面积方法。

Study on Remote Sensing Monitoring of Rape Acreage Based on Linear Spectral Mixture Model

Rape is the most important category of oil crops in China,and the remote sensing technology plays a significant role in monitoring of rape planting area.When estimating the yield of large area crops from the low and middle resolution remote sensing images,the influence of the mixed pixel should be considered in order to improve the accuracy of the rape acreage extraction.In this paper,we took rape acreage of QianJiang（Hubei Province） as an example and used Linear Spectral Mixture Model to process the remote sensing image of CBERS-02B for calculating the rape acreage.The comparative analysis of experimental results with the results obtained by Agricultural Sampling System based on GVG（GPS,VIDEO,GIS） was made,and the precision of our method achieved 97.43%.It shows that Linear Spectral Mixture Model can improve the precision of area extraction and it is proved to be a good method for monitoring of rape acreage.