摘要
利用2003年、2011年两期SPOT5遥感数据,对岱山岛沿海沿海防护林的现状和近8年来的动态进行遥感监测。结果表明:面向对象分类方法的沿海防护林分类精度达85.2%,kappa系数为0.81;2011年,岱山岛沿海防护林主要以混交林为主,其次是常绿阔叶林和针叶林,分别占75%、10%和4%;2003-2011年,岱山岛的常绿阔叶林和针叶林面积分别减少50%和22%,而混交林面积增加20%,部分防护林开发为建筑用地,沙质海岸新增木麻黄(Casuarina equisetifolia)防护林带。
Changes of coastal protective forest in Daishan Island of Zhejiang province were determined based on SPOT 5 imagery in 2003 and 2011. The result demonstrated that the accuracy of object-oriented classification approach for the forests topped to 85.2% with Kappa coefficient of 0.81. The result indicated that in 2011, coastal protective forest in Daishan was dominated by mixed forest（75%）, followed by evergreen broad-leaved forest（10%）and coniferous forest（4%）. During 2003-2011, the areas of evergreen broad-leaved and coniferous forest reduced by 50% and 22%, while that of mixed forest increased by 20%.
出处
《浙江林业科技》
北大核心
2013年第5期62-66,共5页
Journal of Zhejiang Forestry Science and Technology
基金
十一五科技支撑项目(2009BAD2B06)
林业公益性行业专项资助项目(201104006)
中国林科院林业新技术所院所长基金重点项目(CAFINT2010K08)
浙江省林业厅林业科技推广项目"‘3S’技术在沿海防护林体系建设中的推广示范"(2010B07)
关键词
沿海防护林
变化监测
面向对象分类
SPOT5
coastal protective forest
dynamic change
object-oriented classification
SPOT5
