森林与环境学报2017，Vol.37Issue(4)：446-452,7.DOI:10.13324/j.cnki.jfcf.2017.04.012
西双版纳12a间森林扰动监测研究
Forest disturbance monitoring of Xishuangbanna in the recent 12 years
摘要
Abstract
Up-to-date and accurate forest disturbance information is very important to understand temporal-spatial changes and carbon sinks in tropical regions. One class support vector machine ( OCSVM ) was used for monitoring forest disturbance of Xishuangbanna Dai Nationality Autonomous Prefecture based on Landsat TM/ETM+ images from 1999 to 2010 at 30 m spatial resolution. The result showed that: tropical forest area of Xishuangbanna appeared a yearly decrease trend disturbed by various factors during between 1999 and 2010, and the situation of tropical forest protection was still serious in the future. OCSVM performed a high accuracy (90.19%) in extracting tropical forests and was very simple and efficient. The combination of multiple temporal MODIS data and high resolution images of Google Earth is an efficient way to acquire abundant sampling datum with high quality which is able to provide reliable samples for algorithm training and result validation of remote sensing classification.关键词
单类支持向量机/森林扰动/变化检测/陆地卫星Key words
one class support vector machine/forest disturbance/change detection/Landsat分类
信息技术与安全科学引用本文复制引用
鲁宁,寇卫利,徐伟恒,狄光智,王欢,杨雪静..西双版纳12a间森林扰动监测研究[J].森林与环境学报,2017,37(4):446-452,7.基金项目
云南省教育厅科学研究基金项目(2014Y324) （2014Y324）
国家自然科学基金项目(31400493) （31400493）
昆明市林业信息工程技术研究中心建设项目(2015FIB04). （2015FIB04）
