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【目的】利用国产卫星资源三号影像,选取新疆阿勒泰阿拉哈克乡野生罗布麻自然保护区,进行药用植物宏观监测分析评估。【方法】采用遥感与地面调查相结合的方法对野生罗布麻进行遥感识别,在传统分类方法中加入PCA(第一主分量)和纹理特征作为辅助数据来提高国产卫星对野生罗布麻进行遥感识别的分类精度。【结果】利用遥感影像分类提取野生罗布麻效果较好,总体分类精度为90.23%,kappa系数为0.8658,但是罗布麻的生产者精度只有73.09%,存在漏判现象。【结论】分析漏判原因,并对国产卫星资源三号是否适用于野生药用植物宏观监测做出评价。
【Objective】 The objective of this study was to select the wild Apocynum venetum Nature Reserve in Alataki, Altay, Xinjiang using the satellite images of domestic satellite No. 3 for macroscopic monitoring and evaluation of medicinal plants. 【Method】 The remote sensing identification of wild Apocynum venetum was carried out by using the method of remote sensing and ground investigation. PCA (first principal component) and texture features were added to the traditional classification method as auxiliary data to improve the remote sensing recognition of wild Apocynum venetum The classification accuracy. 【Result】 The results of using remote sensing image to extract wild Apocynum venetum were better, the overall classification accuracy was 90.23%, kappa coefficient was 0.8658, but the Apocynum producer accuracy was only 73.09%. 【Conclusion】 The reason for the missed leakage was analyzed, and whether the domestic satellite resource No.3 was suitable for the macro monitoring of wild medicinal plants was evaluated.