北京林业大学学报2016，Vol.38Issue(5)：42-49,8.DOI:10.13332/j.1000--1522.20150383
利用无人机遥感测定岷江冷杉单木树干生物量
Estimation of stem biomass of individual Abies faxoniana through unmanned aerial vehicle remote sensing
摘要
Abstract
Fast and accurate quantification of biophysical parameters of trees is essential for forest management, assessment of carbon sequestration and evaluation of regional ecosystem services value. Unmanned aerial vehicle ( UAV ) is a promising tool to estimate biomass of individual trees due to its extremely high resolution. In this study, we used self-developed UAV to obtain shadow-free remote sensing images, taking Abies faxoniana in Wanglang Nature Reserve of Sichuan Province as an example. There were two plots, one for model training and the other for model validation. Crown area (CA) of individual trees was delineated through man-computer interpretation. Meanwhile, the field inventory was conducted to record the diameter at breast height ( DBH) of individual trees, and to establish CA-DBH regression model. Based on the validity of CA-DBH model, the stem biomass ( SB) of individual A. faxoniana trees in plot 2 was derived according to the existing empirical DBH-SB equation. There was a strong nonlinear correlation between CA extracted from the UAV remote sensing images and DBH documented in the field visit, with a coefficient of determination R2 = 0. 752 (P<0. 001, n = 94). Then prediction of DBH using the model in plot 2 was conducted, followed by a T-test. Verification results showed that the difference was not significant between the predicted DBH and observed DBH in the field ( P >0. 05 ) , with a Pearson correlation coefficient of 0. 879 . This study indicates that it is practically feasible to estimate SB of individual trees through the CA extracted from UAV remote sensing images.关键词
胸径/树干生物量/无人机/遥感/异速方程Key words
diameter at breast height/stem biomass/UAV/remote sensing/allometric equation分类
农业科技引用本文复制引用
何游云,张玉波,李俊清,王卷乐..利用无人机遥感测定岷江冷杉单木树干生物量[J].北京林业大学学报,2016,38(5):42-49,8.基金项目
环保公益性行业科研专项(201509042)、国家科技基础性工作专项项目(2011FY110400)。 （201509042）
