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Carbon offset verification of forest ecosystems

机译:森林生态系统的碳补偿验证

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摘要

The United Nations Framework Convention on Climate Change (UNFCCC) and it's Kyoto Protocol has identified the need to monitor, preserve and enhance the amount of carbon stored in the terrestrial biosphere as well as setting tight controls on total fossil fuel combustion. This action will help stabilise greenhouse gas emissions to abate global warming and subsequent climate change. However, although emissions can be reasonably quantified, large uncertainties exist in spatial estimates of biotic carbon pools in the landscape. Even when direct measurements of carbon pools can be made, they usually represent small samples in space and time. Remote sensing provides an effective nondestructive approach for the estimation of above-ground biomass from forest ecosystems with which to characterise models for carbon partitioning. This paper presents a new program for estimating above-ground biomass, and hence carbon stocks of conifer forests utilising remote sensing techniques and carbon partition modelling. Using multi-sensor and multi-temporal Synthetic Aperture Radar, this research will be developed for application at the regional to national scales with great potential for UNFCCC Joint Implementation Projects and compliance with Article 3.3 of the Kyoto Protocol.
机译:《联合国气候变化框架公约》(UNFCCC)及其《京都议定书》确定了监测,保存和增加陆地生物圈中碳存储量以及对化石燃料总燃烧进行严格控制的需求。该行动将有助于稳定温室气体排放,以减轻全球变暖和随后的气候变化。但是,尽管可以合理地量化排放量,但是景观中生物碳库的空间估算中存在很大的不确定性。即使可以直接测量碳库,它们通常也代表着时空上的小样本。遥感为评估森林生态系统的地上生物量提供了一种有效的非破坏性方法,可用于表征碳分配模型。本文提出了一种利用遥感技术和碳分配模型估算针叶林地上生物量以及碳储量的新程序。该研究将使用多传感器和多时间合成孔径雷达进行开发,以在区域到国家范围内应用,这对于UNFCCC联合实施项目和遵守《京都议定书》第3.3条具有巨大潜力。

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