徐天蜀. 森林生物量与印度卫星数据及地学因子的相关性分析[J]. 西南林业大学学报, 2008, 28(2): 13-16. DOI: 10.11929/j.issn.2095-1914.2008.02.004
引用本文: 徐天蜀. 森林生物量与印度卫星数据及地学因子的相关性分析[J]. 西南林业大学学报, 2008, 28(2): 13-16. DOI: 10.11929/j.issn.2095-1914.2008.02.004
shu
Correlation Analysis of Forest Biomass and IRS-P6 Satellite Data Variants and Topographic Features[J]. Journal of Southwest Forestry University, 2008, 28(2): 13-16. DOI: 10.11929/j.issn.2095-1914.2008.02.004
Citation: Correlation Analysis of Forest Biomass and IRS-P6 Satellite Data Variants and Topographic Features[J]. Journal of Southwest Forestry University, 2008, 28(2): 13-16. DOI: 10.11929/j.issn.2095-1914.2008.02.004
shu

森林生物量与印度卫星数据及地学因子的相关性分析

Correlation Analysis of Forest Biomass and IRS-P6 Satellite Data Variants and Topographic Features

    摘要
  • 摘要: 以2006年印度卫星数据(IRS-P6)为信息源,提取4个波段值、6种波段比值、4种植被指数,利用DEM提取海拔、坡度、坡向3个地学因子,共17个变量,选取5种线性及非线性方程,对高黎贡山常绿阔叶林地面样地生物量与17个遥感及地学因子进行相关性分析.结果表明:IRS-P6的B2, B3, B5波段以及海拔与生物量达到极显著相关水平.波段比值、植被指数、坡度、坡向与生物量的相关性较差,只有少量因子达到显著相关水平.通过变量筛选及回归方程选择, IRS-P6数据可用于较大尺度森林生物量的估测.

     

    Abstract: The correlations among forest biomass of the evergreen broadleaved forest plots in Mt.Gaoligong National Nature Reserve and 17 variants,including 4 multi-spectral bands of Indian IRS-P6 satellite data collected in 2006,6 kinds of band ratio,4 kinds of vegetation index,and 3 geographic factors,i.e.,elevation,slope gradient and slope aspect selected by DEM method,were analyzed with 5 types of linear and nonlinear regression equations.The analyses showed: Forest biomass was significantly correlated with B2,B3 and B5 bands of IRS-P6 and elevation factors(P<0.01).Comparatively,the forest biomass was poorly correlated with the band ratio,vegetation indexes,slope gradient and slope aspect,few of the correlations among these variants reached significant level.Data of IRS-P6 could be used for estimation of large scale forest biomass if the variants and equations were rationally selected.

     

    • HTML全文
    • 参考文献(0)
    • 相关文章
    • 施引文献
  • 资源附件(0)

/

返回文章
返回