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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 dynamic monitoring of forest resources using high-resolution remote sensing images can effectively improve the timeliness of forest resources management in the forestry sector. Taking Pingtan Island of Fuzhou as the research area, this paper uses the high-resolution WorldView-2 remote sensing image, combined with large-scale forest small-scale vector layers, based on the object-oriented classification idea, adopts the method of stratified supervision and classification to extract forest resource change maps Spot, to achieve dynamic monitoring of large-scale forest resources. This method effectively uses the original small-class boundaries and quickly extracts the changed regions. The overall classification accuracy reaches 90.85%, which shows that it is feasible and effective to extract the large-scale regional forest resources with this method.