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結合影像光譜與地形因子的森林蓄積量估測模型
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北京高等學?!扒嗄暧⒉庞媱潯辟Y助項目(YETP0738)、“十二五”國家科技支撐計劃資助項目(2012BAH34B01)和高等學校博士學科點專項科研基金資助項目(20110014120002)


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

    以資源三號衛(wèi)星遙感圖像為數(shù)據源,以內蒙古旺業(yè)甸林場為研究區(qū)域,通過外業(yè)調查獲取的樣地蓄積量真實值,對資源三號影像進行處理,獲得對應樣地的波段光譜值、光譜組合值及地形因子信息,應用多元回歸分析,分別建立闊葉林和針葉林蓄積量估測模型。實驗結果表明:蓄積量估測模型相關系數(shù)闊葉林為0.815,針葉林為0.761,說明資源三號衛(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的相關性,同時利用檢驗數(shù)據,得出模型的預估精度,其中闊葉林為85.3%,針葉林為91.9%,預估精度較高,研究表明利用資源三號衛(wèi)星影像進行森林蓄積量估測具有很好的應用前景。

    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.結合影像光譜與地形因子的森林蓄積量估測模型[J].農業(yè)機械學報,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