摘要
以QuickBird卫星图像和杉木为研究对象 ,在对图像进行精处理的基础上 ,通过在图像上测定出杉木冠幅 ,建立了胸径和冠幅的一元回归模型 :D1 3=2 2 2 1+4 393Ck,由不同冠幅值计算出的胸径查一元材积表 ,据此编制出一元卫星图像立木材积表 ;根据图像上测算出树高和冠幅 ,建立了二元回归模型 :V =- 0 2 4 6 0 5 +0 0 1380 6Ck+0 0 35 2 6 3H ,据此编制出了卫星图像二元立木材积表。杉木在图像上的高是通过建立杉木树高与胸径关系模型 :H =D21 3(1 74 6 +0 2 15D1 3) 2
This paper focused on how to compile volume table of Chinese Fir according to High-resolution QuickBird image, the method is the following:The crown width of fir was measured on the intensive processed QuickBird image, and single element regression model of crown width—height of breast was built: D 1.3=2.221+4.393C k, volume of each fir tree can be looked up in the single element volume table according to different value of D 1.3 in different crown width, so mono-factor volume table can be compiled. Binary regression equation, V=-0.246 05+0.013 806C k+0.035 263 H, was modeled according to height and crown breadth measured on the image. The height of thee on the image can be gained by the following model: H=D 2 1.3(1.746+0.215D 1.3) 2.Dual-factor volume table was then compiled.
出处
《林业科学》
EI
CAS
CSCD
北大核心
2004年第4期33-39,共7页
Scientia Silvae Sinicae
基金
国土资源部 863项目"重大行业 3S应用示范 ( 2 0 0 2AA13 40 70 )"
湖南省杰出中青年专家科技专项计划资助项目 ( 0 2JJYB0 0 5 )
株洲市国土局数字国土项目"土地利用遥感技术体系研究"