结合影像光谱与地形因子的森林蓄积量估测模型
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北京高等学校“青年英才计划”资助项目(YETP0738)、“十二五”国家科技支撑计划资助项目(2012BAH34B01)和高等学校博士学科点专项科研基金资助项目(20110014120002)


Forest Volume Estimation Model Using Spectra and Topographic Factors of ZY-3 Image
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    摘要:

    以资源三号卫星遥感图像为数据源,以内蒙古旺业甸林场为研究区域,通过外业调查获取的样地蓄积量真实值,对资源三号影像进行处理,获得对应样地的波段光谱值、光谱组合值及地形因子信息,应用多元回归分析,分别建立阔叶林和针叶林蓄积量估测模型。实验结果表明:蓄积量估测模型相关系数阔叶林为0.815,针叶林为0.761,说明资源三号卫星影像的光谱值、光谱组合值及地形因子与蓄积量具有较强的相关性,同时利用检验数据,得出模型的预估精度,其中阔叶林为85.3%,针叶林为91.9%,预估精度较高,研究表明利用资源三号卫星影像进行森林蓄积量估测具有很好的应用前景。

    Abstract:

    Taking Wang Ye Dian Forestry Farm as the study area, forest volumes of sample plots were obtained as the true value through field investigation. At the same time, the images of satellite ZiYuan 3(ZY-3) were processed, and corresponding band spectra value, combination value of spectra and topographic information of the sample volumes were obtained. Through multiple regression analysis, broad leaved forest and coniferous forest volume estimation models were established. The experimental results show that the correlation coefficient of broad leaved forest volume estimation model was 0.815, and that of coniferous forest was 0.761. There was a strong correlation between the spectra value, combination of spectra, topographic factors of ZY-3 and the forest volume. The model prediction accuracy was verified, and accuracies of broad leaved forest and coniferous forest models were 85.3% and 91.9%, respectively. The study suggests that the use of ZY-3 images for the forest volume estimation has good application prospect.

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王 佳,宋珊芸,刘 霞,杨慧乔,冯仲科.结合影像光谱与地形因子的森林蓄积量估测模型[J].农业机械学报,2014,45(5):216-220.

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  • 收稿日期:2013-05-30
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  • 在线发布日期: 2014-05-10
  • 出版日期: 2014-05-10