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Model effects on GLAS-based regional estimates of forest biomass and carbon

机译:对基于GLAS的森林生物量和碳区域估计的模型影响

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摘要

Ice, Cloud, and land Elevation Satellite (ICESat) / Geosciences Laser Altimeter System (GLAS) waveform data are used to estimate biomass and carbon on a 1.27 × 10~6 km~2 study area in the Province of Quebec, Canada, below the tree line. The same input datasets and sampling design are used in conjunction with four different predictive models to estimate total aboveground dry forest biomass and forest carbon. The four models include non-stratified and stratified versions of a multiple linear model where either biomass or (biomass)~(0.5) serves as the dependent variable. The use of different models in Quebec introduces differences in Provincial dry biomass estimates of up to 0.35 G, with a range of 4.94 ± 0.28 Gt to 5.29 ± 0.36 Gt. The differences among model estimates are statistically non-significant, however, and the results demonstrate the degree to which carbon estimates vary strictly as a function of the model used to estimate regional biomass. Results also indicate that GLAS measurements become problematic with respect to height and biomass retrievals in the boreal forest when biomass values fall below 20 t ha~(-1) and when GLAS 75th percentile heights fall below 7 m.
机译:冰,云和陆地高程卫星(ICESat)/地球科学激光高度计系统(GLAS)波形数据用于估算加拿大魁北克省以下1.27×10〜6 km〜2研究区域的生物量和碳。树线。相同的输入数据集和采样设计与四个不同的预测模型结合使用,以估算地上干旱森林生物量和森林碳总量。这四个模型包括多元线性模型的非分层和分层版本,其中生物量或(生物量)〜(0.5)作为因变量。在魁北克使用不同的模型会导致省级干生物量估计值的最大差异为0.35 G,范围为4.94±0.28 Gt至5.29±0.36 Gt。模型估计之间的差异在统计上不显着,但是结果表明,碳估计的严格程度随用于估计区域生物量的模型而变化。结果还表明,当生物量值下降到20 t ha〜(-1)以下和当GLAS第75个百分位数高度下降到7 m以下时,GLAS测量值对于北方森林的高度和生物量的获取变得有问题。

著录项

  • 来源
    《International journal of remote sensing》 |2010年第5期|1359-1372|共14页
  • 作者

    ROSS NELSON;

  • 作者单位

    Code 614.4, Biospheric Sciences Branch, NASA Goddard Space Flight Center, Greenbelt,Maryland 20771, USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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