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Above-ground biomass estimation based on NPP time-series - A novel approach for biomass estimation in semi-arid Kazakhstan

机译:基于NPP时间序列的地上生物量估算-一种半干旱哈萨克斯坦生物量估算的新方法

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摘要

Biomass is a sensitive indicator of environmental change and ecological functioning. Quantification of biomass is essential to identify and monitor those areas threatened by degradation and desertification. This is especially important in arid and semi-arid environments. However, robust techniques to monitor carbon stocks over large areas and through time are still missing. The major objective of the presented study is to develop a novel approach for biomass estimation in semi-arid environments using remote sensing based Net Primary Productivity (NPP) data.
机译:生物量是环境变化和生态功能的敏感指标。生物量的量化对于识别和监测那些受到退化和荒漠化威胁的地区至关重要。这在干旱和半干旱环境中尤其重要。但是,仍然缺少用于在大范围和整个时间范围内监视碳储存的可靠技术。提出的研究的主要目的是使用基于遥感的净初级生产力(NPP)数据开发一种在半干旱环境中进行生物量估计的新方法。

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