基于面向对象的平潭岛大比例尺森林资源监测方法

利用高分辨率遥感影像对森林资源进行大比例尺动态监测可以有效提高林业部门对森林资源管理的时效性。以福州市平潭岛为研究区域,利用高分辨率的WorldView\|2遥感影像,结合大比例尺森林小班矢量图层,基于面向对象的分类思想,采用分层监督分类的方法,提取森林资源变化图斑,实现大比例尺森林资源的动态监测。此种方法有效利用了原始小班边界,快速提取了变化区域,总体分类精度达到了90.85%,表明利用该方法进行大比例尺森林资源变化区域提取是有效可行的。

Large-scale Forest Resource Dynamic Monitoring—A Case Study in Pingtan Island

Due to its capacity to describe detailed information,high spatial resolution remote sensing technology has been used increasely in forest resource dynamic monitoring,especially at large scale.Based on 0.5 m resolution Worldview\|2 data and 1∶10 000 forest subcompartment vector data,monitoring on forest resource dynamic during 2010~2011 in Pingtan Island was carried out.Object\|oriented classification method was adopted.Firstly,multi\|resolution segmentation was done by Worldview\|2 image,which produced two levels of objects.Then,hierarchical supervised classification was used to classify the second\|level objects.The objects were assigned to seven different thematic layers according to the attribute of land use types of forest subcompartment,the object samples were selected for supervised classification to identify the change of objects in each layer.Changed objects larger than 0.0667 hm2 were preserved and used for dynamics analysis.The result indicated that the overall accuracy is 90.85%,and using this method to extracting the change area is effective and feasible.