森林工程2017，Vol.33Issue(2)：45-49,55,6.
基于全极化Radarsat-2数据的苹果园平均树高估算模型
Average Tree Height Estimation Model of Apple OrchardBased on Fully Polarized Radarsat-2 Data
摘要
Abstract
The apple species with rock candy heat of Hongqi Po farm in Xinjiang Aksu region was taken as the research object in this study.The actual radar backscatter coefficients of the vegetation were calculated based on the Radarsat-2 data of all polarizations and the canopy density of the orchard.The HH,VV,CROSS polarimetric radar backscatter coefficients and the correlation relationships between actual radar backscatter coefficient and tree height were analyzed.The water cloud model,index and quadratic term model were established to predict the tree height of apple orchard.The results showed that the best fitting model of water cloud was HH polarization mode,with R2 of 0.116 8.The exponential model established by actual radar backscatter coefficient and the quadratic model with VV polarization were of the best effect,with R2 of 0.811 3 and 0.795 4,respectively.关键词
Radarsat-2/苹果/树高Key words
radarsat-2/apple/tree height分类
农业科技引用本文复制引用
贾永倩,王振锡,瞿余红,丁雅,李擎..基于全极化Radarsat-2数据的苹果园平均树高估算模型[J].森林工程,2017,33(2):45-49,55,6.基金项目
新疆维吾尔自治区高校科研计划科学研究重点项目(XJEDU2013I16) （XJEDU2013I16）
国防科工局高分辩率对地观测系统专项(95-Y40B02-9001-13/15-01-01) （95-Y40B02-9001-13/15-01-01）
中国博士后科学基金项目(2015M572668XB) （2015M572668XB）
