Estimation of leaf area index and the fraction of absorbed photosynthetically active radiation in a boreal forest

Titta Majasalmi
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引用次数: 2

Abstract

The aim of this dissertation is to assess the accuracy of different ground reference methods used to validate satellite based leaf area index (LAI) and the fraction of absorbed photosynthetically active radiation (fPAR) products. LAI and fPAR are strongly linked, although they principally and practically measure different properties: LAI quantifies the areal interphase between soil and atmosphere, whereas fPAR quantifies the energy available for photosynthesis. Until now, the development of remote sensing based methods to estimate LAI and fPAR in a boreal forest has been hindered by the scarcity of ground data, which is required to validate and develop existing algorithms. The aim of the first part of this dissertation was to assess the impacts of different methodological approaches to estimate LAI in boreal forests, and to validate satellite based LAI products. Results showed that the accuracy of ground based LAI estimates is sensitive to both the retrieval methods and sampling scheme used to collect the optical LAI data. The satellite based measurements of LAI demonstrated a large temporal variability in LAI. The second part of the dissertation focused on measuring and modeling fPAR in a boreal forest. A new scheme for measuring and modeling ground reference fPAR based on photon recollision probability was presented in this dissertation. Ground reference fPAR is usually estimated only for the forest canopy layer. This study is among the first ones to validate the new global satellite based fPAR product called GEOV1 using data of both the forest canopy and understory layers from boreal forests. Results showed that satellite based fPAR products may correspond better with the total fPAR, instead of only the forest canopy fPAR as has often been presumed.
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北方针叶林叶面积指数和吸收光合有效辐射比例的估算
本文的目的是评估不同地面参考方法用于验证基于卫星的叶面积指数(LAI)和吸收光合有效辐射(fPAR)产品分数的准确性。LAI和fPAR密切相关,尽管它们主要和实际测量不同的性质:LAI量化土壤和大气之间的面积界面,而fPAR量化光合作用的可用能量。到目前为止,基于遥感的北方森林LAI和fPAR估算方法的发展一直受到地面数据稀缺的阻碍,需要对现有算法进行验证和开发。本文第一部分的目的是评估不同方法估算北方森林LAI的影响,并验证基于卫星的LAI产品。结果表明,地面LAI估算的精度对光学LAI数据的检索方法和采样方案都很敏感。基于卫星的LAI测量显示LAI具有较大的时间变异性。论文的第二部分重点研究了北寒带森林fPAR的测量与建模。本文提出了一种基于光子回忆概率的地面参考fPAR测量与建模新方案。地面参考fPAR通常只对森林冠层进行估算。这项研究是第一批使用来自北方森林的森林冠层和下层的数据来验证新的全球卫星fPAR产品GEOV1的研究之一。结果表明,基于卫星的fPAR产品可以更好地与总fPAR对应,而不是像通常假设的那样仅与森林冠层fPAR对应。
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