Uncertainty of Forest Biomass Estimates in North Temperate Forests Due to Allometry: Implications for Remote Sensing
Uncertainty of Forest Biomass Estimates in North Temperate Forests Due to Allometry: Implications for Remote Sensing
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DOI：
10.3390/rs5063007
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发表时间：
2013-06-01
期刊：
影响因子：
5
通讯作者：
Bergen, Kathleen
中科院分区：
文献类型：
--
作者：
Ahmed, Razi;Siqueira, Paul;Bergen, Kathleen
估算森林地上生物量密度对于完善全球气候模型和理解气候变化至关重要。虽然实地研究的数据可以汇总，以估计全球范围内的碳储存，但这种实地数据的稀疏性、时间上的异质性和方法上的差异会带来很大的误差。来自空间传感器的遥感测量是全球碳核算的一个现实的替代方法;然而，这种测量的不确定性并不为人所知，仍然是一个活跃的研究领域。本文介绍了一种努力，收集现场数据在哈佛和豪兰森林网站，设置在美国东北部的温带森林，试图建立地面实况森林生物量遥感测量的校准。我们提出了一个评估地面实况生物量估计的质量来自三个不同的套直径为基础的异速生长方程在哈佛和豪兰森林建立地面实况数据中的错误的贡献，从遥感测量的生物量估计的错误。
Estimates of above ground biomass density in forests are crucial for refining global climate models and understanding climate change. Although data from field studies can be aggregated to estimate carbon stocks on global scales, the sparsity of such field data, temporal heterogeneity and methodological variations introduce large errors. Remote sensing measurements from spaceborne sensors are a realistic alternative for global carbon accounting; however, the uncertainty of such measurements is not well known and remains an active area of research. This article describes an effort to collect field data at the Harvard and Howland Forest sites, set in the temperate forests of the Northeastern United States in an attempt to establish ground truth forest biomass for calibration of remote sensing measurements. We present an assessment of the quality of ground truth biomass estimates derived from three different sets of diameter-based allometric equations over the Harvard and Howland Forests to establish the contribution of errors in ground truth data to the error in biomass estimates from remote sensing measurements.