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High resolution remote sensing for reducing uncertainties in urban forest carbon offset life cycle assessments

机译:高分辨率遥感技术可减少城市森林碳补偿生命周期评估中的不确定性

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摘要

BackgroundUrban forests reduce greenhouse gas emissions by storing and sequestering considerable amounts of carbon. However, few studies have considered the local scale of urban forests to effectively evaluate their potential long-term carbon offset. The lack of precise, consistent and up-to-date forest details is challenging for long-term prognoses. Therefore, this review aims to identify uncertainties in urban forest carbon offset assessment and discuss the extent to which such uncertainties can be reduced by recent progress in high resolution remote sensing. We do this by performing an extensive literature review and a case study combining remote sensing and life cycle assessment of urban forest carbon offset in Berlin, Germany.
机译:背景技术城市森林通过存储和隔离大量的碳来减少温室气体排放。但是,很少有研究考虑到城市森林的局部规模来有效评估其潜在的长期碳补偿。缺乏精确,一致和最新的森林详细信息对于长期预测具有挑战性。因此,本综述旨在确定城市森林碳补偿评估中的不确定性,并讨论高分辨率遥感技术的最新进展可在多大程度上减少此类不确定性。为此,我们进行了广泛的文献综述以及结合遥感与德国柏林城市森林碳补偿的生命周期评估的案例研究。

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