文献类型：期刊文献

中文题名：Estimating Stem Volume Using QuickBird Imagery and Allometric Relationships for Open Populus xiaohei Plantations

英文题名：Estimating Stem Volume Using QuickBird Imagery and Allometric Relationships for Open Populus xiaohei Plantations

作者：Xiao-Qing Wang[1] Zeng-Yuan Li[2] Xing-E Liu[3] Guang Deng[2] Ze-Hui Jiang[1]

第一作者：Xiao-Qing Wang

机构：[1]Research Institute of Wood Industry, Chinese Academy of Forestry, Beijing 100091, China;[2]Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China;[3]Intemational Centre for Bamboo and Rattan, Beijing 100102, China)

年份：2007

卷号：49

期号：9

起止页码：1304-1312

中文期刊名：植物学报：英文版

收录：CSTPCD;;Scopus;CSCD:【CSCD2011_2012】；PubMed;

基金：the National Natural Science Foundation of China(No.30230420)

语种：英文

中文关键词：树冠部;树高度;植物胸径生长;小黑杨;遥感影象;种源质量

外文关键词：diameter at breast height; Populus xiaohei; QuickBird image; stem volume; tree crown; tree height.

分类号：Q945.45

摘要：There has been a great deal of interest in studying the crown of trees using remote sensing data.In this study,crownwidth was extracted from high-resolution QuickBird images for open Populus xiaohei plantations.Regression modelsfor predicting the individual stem volumes of Populus xiaohei were established using extracted crown width,as well asestimated tree parameters(i.e.diameter at breast height[DBH]and tree height)as predictors.Our results indicated thatcrown width could be accurately extracted from QuickBird images using a multi-scale segmentation approach with a meanrelative error of 5.74%,especially for wide-spacing stands.Using either extracted crown width alone or with estimatedDBH and tree height can successfully estimate individual stem volume of Populus xiaohei with the R^2 value ranging from0.87 to 0.92 depending on different model forms.In particular,the two second-order polynomial models(model2 andmodel 6),based on QuickBird image-derived crown widths and estimated DBH and tree heights,respectively,were the bestat describing the relationship between stem volume and tree characteristics.
There has been a great deal of interest in studying the crown of trees using remote sensing data. In this study, crown width was extracted from high-resolution QuickBird images for open Populus xiaohei plantations. Regression models for predicting the individual stem volumes of Populus xiaohei were established using extracted crown width, as well as estimated tree parameters （i.e. diameter at breast height [DBH] and tree height） as predictors. Our results indicated that crown width could be accurately extracted from QuickBird images using a multi-scale segmentation approach with a mean relative error of 5.74%, especially for wide-spacing stands. Using either extracted crown width alone or with estimated DBH and tree height can successfully estimate individual stem volume of Populus xiaohei with the R2 value ranging from 0.87 to 0.92 depending on different model forms. In particular, the two second-order polynomial models （model 2 and model 6）, based on QuickBird image-derived crown widths and estimated DBH and tree heights, respectively, were the best at describing the relationship between stem volume and tree characteristics.