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Monitoring spring canopy phenology of a deciduous broadleaf forest using MODIS

机译:利用MODIS监测落叶阔叶林的春季冠层物候

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Climate change is predicted to alter the canopy phenology of temperate and boreal forests, which will affect carbon, water, and energy budgets. Therefore, there is a great need to evaluate remotely sensed products for their potential to accurately capture canopy dynamics. The objective of this study was to compare several products derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) to field measurements of fraction photosynthetically active radiation (FPAR) and plant area index (PAI) for a deciduous broadleaf forest in northern Wisconsin in 2002. MODIS products captured the general phenological development of the canopy although MODIS products overestimated the leaf area during the overstory leaf out period, Field data suggest that the period from budburst to canopy maturity, or maximum PAI, occurred in 10 to 12 days while MODIS products predicted onset of greenness and maturity from 1 to 21 days and 0 to 19 days earlier than that from field observations, respectively. Temporal compositing of MODIS data and understory development are likely key factors explaining differences with field data. Maximum PAI estimates differed only by 7% between field derived and MODIS-based estimates of LAI. Implications for ecosystem modeling of carbon and water exchange and future research needs are discussed.
机译:预计气候变化将改变温带和北方森林的冠层物候,这将影响碳,水和能源的预算。因此,迫切需要评估遥感产品的潜力,以准确捕捉树冠动态。这项研究的目的是比较2002年从中分辨率成像光谱仪(MODIS)得到的几种产品与2002年在威斯康星州北部的落叶阔叶林的光合有效辐射分数(FPAR)和植物面积指数(PAI)的现场测量。尽管MODIS产品在过高的叶期期间高估了叶面积,但产品捕获了冠层的总体物候发展。现场数据表明,从芽期到冠层成熟或最大PAI的时期发生在10到12天,而MODIS产品预计会发作分别比实地观察早1至21天和0至19天的绿色和成熟度。 MODIS数据的时间合成和地层发育可能是解释与现场数据差异的关键因素。现场得出的和基于MODIS的LAI估计之间的最大PAI估计仅相差7%。讨论了碳和水交换的生态系统建模的意义以及未来的研究需求。

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