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LiDAR mapping of tidal marshes for ecogeomorphological modelling in the TIDE project

机译:潮汐沼泽的LiDAR映射,用于TIDE项目中的生态地貌建模

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摘要

The European research project TIDE (Tidal Inlets Dynamics and Environment) is developing and validating coupled models describing the morphological, biological and ecological evolution of tidal environments. The interactions between the physical and biological processes occurring in these regions requires that the system be studied as a whole rather than as separate parts. Extensive use of remote sensing including LiDAR is being made to provide validation data for the modelling.ududThis paper describes the different uses of LiDAR within the project and their relevance to the TIDE science objectives. LiDAR data have been acquired from three different environments, the Venice Lagoon in Italy, Morecambe Bay in England, and the Eden estuary in Scotland. LiDAR accuracy at each site has been evaluated using ground reference data acquired with differential GPS. A semi-automatic technique has been developed to extract tidal channel networks from LiDAR data either used alone or fused with aerial photography. While the resulting networks may require some correction, the procedure does allow network extraction over large areas using objective criteria and reduces fieldwork requirements. The networks extracted may subsequently be used in geomorphological analyses, for example to describe the drainage patterns induced by networks and to examine the rate of change of networks. Estimation of the heights of the low and sparse vegetation on marshes is being investigated by analysis of the statistical distribution of the measured LiDAR heights. Species having different mean heights may be separated using the first-order moments of the height distribution.udududud
机译:欧洲研究项目TIDE(潮汐入口动力学和环境)正在开发和验证描述潮汐环境形态,生物学和生态演变的耦合模型。在这些区域中发生的物理和生物过程之间的相互作用要求将系统作为一个整体而不是作为单独的部分进行研究。正在广泛使用包括LiDAR在内的遥感技术来为建模提供验证数据。 ud ud本文介绍了LiDAR在项目中的不同用途及其与TIDE科学目标的相关性。 LiDAR数据是从三种不同的环境中获取的:意大利的威尼斯泻湖,英国的莫克姆湾和苏格兰的伊甸园河口。已使用差分GPS采集的地面参考数据评估了每个站点的LiDAR精度。已开发出一种半自动技术来从单独使用或与航空摄影融合的LiDAR数据中提取潮汐通道网络。虽然生成的网络可能需要进行一些校正,但该过程确实允许使用客观标准在大面积上提取网络,并减少了现场工作的需求。随后可以将提取的网络用于地貌分析,例如描述网络诱发的排水模式并检查网络的变化率。通过分析测得的LiDAR高度的统计分布,正在研究沼泽地上低矮稀疏的植被的高度。可以使用高度分布的一阶矩来分离具有不同平均高度的物种。 ud ud ud ud

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