摘要
以高分一号遥感影像为数据源,结合外业实测数据,通过提取植被指数因子、波段组合因子以及地形因子等19个因子,建立崂山林场生物量多元线性反演模型,进而分析该反演模型的精度和优缺点,估测崂山林场森林生物量。结果表明:应用多元线性回归法建立的生物量模型平均反演精度达到80.75%;根据反演出的林分生物量估测模型,估测崂山林场2013年的林分生物量为402 485.44 t。
Based on GF-1 images as data sources, combined with field actual measured data, a total of 19 factors, including vegetation index factors, band combination factors and topographical factors and other factors, were extracted, then Laoshan forest biomass multivariate linear inversion model were established, and further the analytical accuracy, the advantages and disadvantages of the inversion model were analyzed, and the biomass of Laoshan Forest Farm was estimated. The results show that the biomass model set by multiple linear regression had average retrieval accuracy of 80.75%. Based on the biomass estimation model by inversion, the Laoshan forest biomass in 2013 was 402 485.44 tons.
出处
《中南林业科技大学学报》
CAS
CSCD
北大核心
2016年第1期46-51,共6页
Journal of Central South University of Forestry & Technology
基金
国家863计划课题"数字化森林资源监测关键技术研究"(2012AA102000)
关键词
森林生物量
高分一号遥感影像
反演估算
反演模型
多元线性回归
forest biomass
remote sensing image by GF-1
inversion algorithm
inversion model
multiple linear regression
