基于面向对象分类法的陕西佳县大枣种植面积提取研究

Research on extraction of Zizyphus jujuba planting area in Jia county of Shaanxi

以高分一号(GF-1)卫星遥感影像为数据源,采用面向对象分类法提取了陕西佳县2018年大枣种植面积及其分布信息。研究结果表明:基于规则集的面向对象分类法可以有效地提取出研究区内的大枣种植地块并估算出种植面积。整个佳县枣树种植面积约为5. 34×10~4hm^2,测量面积一致性精度高达97. 27%。该研究方法可为同类型药材的面积提取提供技术参考,而研究结果则可为大枣资源的保护和利用提供决策支持。

With digital satellite remote sensing image data of GF-1,in 2018 the object-oriented classification method was used to extract Zizyphus jujuba planting area in Jia county of Shaanxi province.The results showed that the remote sensing classification method based on rule set could extract and reckon Z.jujube planting area in the study area effectively.The planting area of Z.jujube in Jia county was about 5.34×104 hm2 and the area of consistent accuracy was 97.92%.The method used in this study could provide a technical reference for the area extraction of the same type of medicinal materials.And it is of great significance to provide decision support for the protection and utilization of Z.jujube resources.