[1]王蕊,邢艳秋*,尤号田,等. 基于星载LiDAR波形数据的森林胸高断面积估测研究[J].西北林学院学报,2014,29(05):156-162.[doi:doi:10.3969/j.issn.1001-7461.2014.05.30]
　WANG Rui,XING Yan-qiu*,YOU Hao-tian,et al. Forest Basal Area Estimation Based on Spaceborne LiDAR Waveform Data[J].JOURNAL OF NORTHWEST FORESTRY UNIVERSITY,2014,29(05):156-162.[doi:doi:10.3969/j.issn.1001-7461.2014.05.30]
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 基于星载LiDAR波形数据的森林胸高断面积估测研究()
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《西北林学院学报》[ISSN:1001-7461/CN:61-1202/S]

卷:
第29卷
期数:
2014年05期
页码:
156-162
栏目:
出版日期:
2014-09-30

文章信息/Info

Title:
 Forest Basal Area Estimation Based on Spaceborne LiDAR Waveform Data
文章编号:
1001-7461(2014)05-0156-07
作者:
 王蕊; 邢艳秋*; 尤号田; 孙小添
 （东北林业大学 森林作业与环境研究中心，黑龙江 哈尔滨 150040）
Author(s):
 WANG Rui; XING Yan-qiu*; YOU Hao-tian; SUN Xiao-tian
 (Center for Forest Operations and Environment of Northeast Forest University, Harbin, Heilongjiang 150040, China)
关键词:
 ; 胸高断面积; 星载LiDAR; ICESat/GLAS; 波形特征参数
Keywords:
 ; basal area;  spaceborne LiDAR;  ICESat/GLAS;  waveform characteristic parameter
分类号:
S771.8
DOI:
doi:10.3969/j.issn.1001-7461.2014.05.30
文献标志码:
A
摘要:
 为探索星载LiDAR在森林胸高断面积上的应用潜力，利用星载激光雷达ICESat/GLAS波形数据对吉林汪清林区的森林胸高断面积进行估测。通过对ICESat/GLAS波形数据波形进行处理，提取一系列波形特征参数，利用回归估计方法分析波形特征参数与胸高断面积的相关关系，建立预测模型对森林胸高断面积进行估测。结果表明：在所提波形特征参数中，波形长度、H5和H10与胸高断面积在三次函数拟合时具有明显的相关性，判定系数R2分别为0.813、0.737和0.613，预测精度P分别为0.951、0.932和0.901，综合分析最终确定波形长度估测模型最好，该模型可稳定准确地估测出胸高断面积。表明星载LiDAR是未来估测森林胸高断面积一种有效的方法，并为进一步的森林蓄积量研究提供了一种技术手段。
Abstract:
 In order to explore the potential application of spaceborne LiDAR in the estimation of the basal area at breast height (BA) of forests, an investigation was carried out in Wangqing forest Farm of Jilin Province by using spaceborne lidar ICESat/GLAS waveform data. The data were processed to extract a series of waveform characteristic parameters. Correlations between obtained parameters and BA were analyzed by using regression estimation method, and the prediction models were established to estimate BA. Among the extracted characteristic parameters of the waveform, significant correlations were observed between BA and the parameters, such as waveform length, H5, and H10, fitted by cubic function estimation method. The corresponding R2 values were 0.813, 0.737 and 0.613, respectively, and prediction accuracy P values were 0.951, 0.932 and 0.901, respectively. After comprehensive analysis, it was concluded that waveform length based model was the best one for estimating BA. The results indicated that it would be an effective method to apply spaceborne LiDAR in estimating BA, and an technical measure for the further estimation of forest volume.

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备注/Memo

备注/Memo:
 收稿日期：2013-11-29修回日期：2014-03-01
基金项目：国家自然科学基金资助项目(41171274)；中国科学院数字地球重点实验室开放基金课题(2011LDE012)；中央高校基本科研业务费专项资金支撑项目（DL12EB07）。
作者简介：王蕊，女，博士，研究方向：森林管理与林业信息工程。E-mail: wangrui19890908@126.com
*通信作者：邢艳秋，女，博士，教授，研究方向：3S技术及其应用。E-mail: yanqiuxing@nefu.edu.cn
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