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基于多源多时相遥感影像的宁国前胡种植面积提取研究

发布时间:2018-08-20 19:42
【摘要】:中药多种植在自然环境条件适宜而地形复杂的山区,种植地块分布零散,传统调查方法很难获得准确的种植面积。通过研究基于遥感的中药材种植面积提取方法,为中药资源保护和利用提供决策支持有着至关重要的意义。该文以安徽省宁国市前胡种植为例,分别以30 m分辨率的Landsat-8和16 m分辨率的国产"高分一号"(GF-1)多光谱遥感影像为数据源,首先利用前胡在不同时相的影像光谱特征变化来提取宁国市耕地中的前胡种植区域,其次利用与前胡套种的山核桃幼林的纹理和光谱特征来提取宁国市林地中的前胡种植区域。结果表明:利用30 m和16 m空间分辨率影像提取的前胡种植面积分别为25 635.43,24 585.43亩(1亩≈667 m2)。与统计数据相比,16 m分辨率影像提取的结果精度较高。
[Abstract]:The traditional Chinese medicine is planted in the mountainous area where the natural environment is suitable and the topography is complex, the planting area is scattered, and the traditional investigation method is difficult to obtain the accurate planting area. It is of great significance to provide decision support for the protection and utilization of traditional Chinese medicine resources by studying the extraction method of planting area based on remote sensing. This paper takes Qianhu planting in Ningguo City, Anhui Province as an example, taking 30m resolution Landsat-8 and 16m resolution GF-1 multi-spectral remote sensing image as data source, respectively. Firstly, the paper uses the spectral characteristics of the image of Qianhu in different phases to extract the planting area of Qianhu in cultivated land of Ningguo city, and then extracts the planting area of Qianhu in the woodland of Ningguo by using the texture and spectral features of the young walnut forest interplanted with Qianghu. The results showed that the planting area of Bupleurum was 25 635.433m 24 585.43 mu (1 mu 鈮,

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