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結(jié)合影像光譜與地形因子的森林蓄積量估測(cè)模型
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北京高等學(xué)?!扒嗄暧⒉庞?jì)劃”資助項(xiàng)目(YETP0738),、“十二五”國(guó)家科技支撐計(jì)劃資助項(xiàng)目(2012BAH34B01)和高等學(xué)校博士學(xué)科點(diǎn)專項(xiàng)科研基金資助項(xiàng)目(20110014120002)


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

    以資源三號(hào)衛(wèi)星遙感圖像為數(shù)據(jù)源,,以內(nèi)蒙古旺業(yè)甸林場(chǎng)為研究區(qū)域,通過外業(yè)調(diào)查獲取的樣地蓄積量真實(shí)值,,對(duì)資源三號(hào)影像進(jìn)行處理,獲得對(duì)應(yīng)樣地的波段光譜值,、光譜組合值及地形因子信息,,應(yīng)用多元回歸分析,分別建立闊葉林和針葉林蓄積量估測(cè)模型,。實(shí)驗(yàn)結(jié)果表明:蓄積量估測(cè)模型相關(guān)系數(shù)闊葉林為0.815,,針葉林為0.761,說(shuō)明資源三號(hào)衛(wèi)星影像的光譜值,、光譜組合值及地形因子與蓄積量具有較強(qiáng)的相關(guān)性,,同時(shí)利用檢驗(yàn)數(shù)據(jù),得出模型的預(yù)估精度,,其中闊葉林為85.3%,,針葉林為91.9%,預(yù)估精度較高,,研究表明利用資源三號(hào)衛(wèi)星影像進(jìn)行森林蓄積量估測(cè)具有很好的應(yīng)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,宋珊蕓,劉 霞,楊慧喬,馮仲科.結(jié)合影像光譜與地形因子的森林蓄積量估測(cè)模型[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2014,45(5):216-220. Wang Jia, Song Shanyun, Liu Xia, Yang Huiqiao, Feng Zhongke. Forest Volume Estimation Model Using Spectra and Topographic Factors of ZY-3 Image[J]. Transactions of the Chinese Society for Agricultural Machinery,2014,45(5):216-220.

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  • 收稿日期:2013-05-30
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  • 在線發(fā)布日期: 2014-05-10
  • 出版日期: 2014-05-10
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