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Position: Home > Articles > Forest Cover Change Detection by Using High-resolution Remote Sensing Image Forest Resources Management 2013 (5) 76-79

高分辨率遥感影像森林覆盖变化检测研究

作  者:
付强;代华兵;薛晓坡
单  位:
广西林业勘测设计院
关键词:
遥感;森林覆盖;面向对象;变化检测
摘  要:
以天绘一号和资源一号两期遥感影像为研究对象,采用面向对象多尺度分割和基于特征值阈值的方法提取采伐迹地,将研究区分成采伐迹地和非采伐迹地两类,使用分类后比较法检测森林覆盖变化。结果表明:国产的天绘一号和资源一号遥感影像有较好的内部几何一致性,正射校正后的两期影像可以达到1个像元内的校准精度。遥感变化检测的面积精度和重合率与实际变化相比较,分别为93.1%和95.0%,该方法能较好地检测出森林覆盖变化,适合于县域森林资源年度更新。
译  名:
Forest Cover Change Detection by Using High-resolution Remote Sensing Image
作  者:
FU Qiang;DAI Huabing;XUE Xiaopo;Guangxi Forest Inventory & Planning Institute;
关键词:
remote sensing,forest cover,object-oriented,change detection
摘  要:
Setellite-1 and Resources-1 remote sensing images are used as research data. This paper uses method of object-oriented multi-scale segmentation and spectral feature threshold to extract cut-over areas. Study area included harvested area and non-harvested area. Forest cover change has been detected by post-classification. The results showed that the imagery has good internal geometric consistency,the orthorectification accuracy between two-period imageries can be less than one pixel. The area accuracy of remote sensing change detection and the coincidence rate compared with the actual changes were 93. 1% and 95. 0%. This method can better detect changes of forest cover. It is suitable for annual update of forest resource data for the county.

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