An Error Model for Biomass Estimates Derived From Polarimetric Radar Backscatter
An Error Model for Biomass Estimates Derived From Polarimetric Radar Backscatter
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DOI：
10.1109/tgrs.2013.2279400
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发表时间：
2014-07
影响因子：
8.2
通讯作者：
S. Hensley;S. Oveisgharan;S. Saatchi;M. Simard;R. Ahmed;Z. Haddad
中科院分区：
文献类型：
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作者：
S. Hensley;S. Oveisgharan;S. Saatchi;M. Simard;R. Ahmed;Z. Haddad
估计林区地上生物量，并通过量化干扰和再生长来测量碳通量，对于更好地了解生态系统过程至关重要。分辨率良好和全球一致的森林碳清单必须依赖遥感测量，特别是来自偏振雷达的测量。虽然过去三十年进行的各种研究表明，可以使用雷达偏振测量来估计每公顷生物量低于100毫克的区域的地上碳，但没有根据先验仪器和飞行任务参数评估生物量估计精度的既定方法。本文提出了一种评估生物量估计精度的框架，该框架融合了基本成像物理和描述生物量与雷达极化观测量之间的各种关系的经验推导参数。利用一个概念上的地球观测任务的仪器、任务和科学参数，探讨了该误差模型对极化雷达的设计和性能的影响。
Estimating the amount of above ground biomass in forested areas and the measurement of carbon flux through the quantification of disturbance and regrowth are critical to develop a better understanding of ecosystem processes. Well-resolved and globally consistent inventories of forest carbon must rely on remote sensing measurements, particularly from polarimetric radars. While a wide variety of studies conducted over the past three decades have shown how radar polarimetric measurements can be used to estimate above ground carbon for regions with less than 100 Mg of biomass per hectare, there is no established methodology for assessing biomass estimation accuracy based on a priori instrument and mission parameters. In this paper, a framework for assessing biomass estimation accuracy is presented that is a blend of the basic imaging physics and empirically derived parameters that describe various relationships between biomass and radar polarimetric observable quantities. The implications of this error model on the design and performance of a polarimetric radar are explored using instrument, mission, and science parameters from a notional Earth observing mission.