基于CBERS影像的速生林信息提取方法研究  

INFORMATION EXTRACTION OF THE FAST-GROWING PLANTATION AREA BASED ON CBERS SATELLITE IMAGES

作　　者：温庆可[1] 张增祥[1] 刘斌[1] 徐进勇[1] 乔竹萍[1,2] 

机构地区：[1]中国科学院遥感应用研究所,北京100101 [2]中国科学院研究生院,北京100049

出　　处：《国土资源遥感》2009年第4期68-71,77,共5页Remote Sensing for Land & Resources

基　　金：国家科技支撑计划:国家生态恢复重建的综合监测评估关键技术研发项目(编号:2006BAC08B0405);中国科学院创新重大项目:全国耕地资源动态遥感监测(编号:08Y03300KX)共同资助

摘　　要：提出了一种运用遥感技术提取速生林信息的方法,实现了大区域速生林分布情况的检测。该方法基于CBERS影像多年际时间曲线趋势,根据速生林生长周期中被砍伐并翻地的特殊阶段表现在遥感影像上的不同电磁波谱特征,对其进行检测,从而实现速生林地的提取。在广东省雷州市试验的结果表明,速生林信息提取的总体精度为88%,CBERS CCD图像可以用于大区域的速生林信息提取。In this paper, a method for detecting the fast -growing plantation based on remote sensing is proposed, and the measuring of the distribution of the fast - growing plantation in large areas has been realized. This method is based on the cure trajectory extracted from the multi -year CBERS images. According to the characteristics of the electromagnetic spectra obtained during the period when the fast - growing plantation was cut down and the soil was turned up, the land used for fast - growing plantation can be extracted. The test in Leizhou City of Guangdong Province shows that the overall accuracy of the extracting method is 88%, which indicates that CBERS CCD images can be used to extract fast -growing plantation in large areas.

关 键 词：速生林 年际时间曲线 变化检测 生态危机 LUCC 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]