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首页> 外文OA文献 >The Application of Remote Sensing and GIS for Improving Modeling the Response of Wetland Vegetation Communities to Water Level Fluctuations at Long Point, Ontario
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The Application of Remote Sensing and GIS for Improving Modeling the Response of Wetland Vegetation Communities to Water Level Fluctuations at Long Point, Ontario

机译：遥感和GIS在改进安大略省朗波特（Long Point）湿地植被群落对水位波动响应模型中的应用

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摘要

Coastal wetlands are complex and dynamic environments which are of high environmental, social, and economic importance. With the acceleration of climate change and global warming, it is necessary to monitor and protect dynamic coastal wetlands. Wetland ecosystem simulation modeling is one approach to help produce better wetland protection and management strategies. The application of remote sensing and Geographic Information System (GIS) in wetland ecosystem simulation models can help with better spatial modeling of wetland ecosystems. In addition, coastal topographic models can achieve digital representations of terrain surfaces and aquatic environments. This study applies remote sensing and GIS technologies for improving wetland vegetation simulation modeling. First, the study integrates multiple topographic data sources (i.e. Light Detection and Ranging data (LiDAR) and bathymetry data) to generate a coastal topographic model. Shoreline data are involved in the generation process. Second, a pre-existing wetland simulation model is updated to a new version to model the response of wetland vegetation communities to water level fluctuations at Long Point, Ontario. Third, different coastal topographic models have been employed to explore how a coastal topographic model affects the wetland simulation results. Model sensitivity analysis is conducted to explore the variation of model simulation results to different vegetation transition baselines parameter. Findings from this study suggest that a high accuracy coastal topographic model could yield a higher accuracy simulation result in a wetland ecosystem simulation model. Second, the application of remote sensing and the integration of multiple topographic data (e.g. LiDAR data and bathymetry data) could provide high accuracy and high density elevation information in coastal area, especially in land-water transitional areas. Finally, a narrower vegetation transition baseline increases the possibility for a wetland community shift to a wetter wetland community.
机译：沿海湿地是复杂而动态的环境，具有高度的环境，社会和经济意义。随着气候变化和全球变暖的加剧，有必要监测和保护动态的沿海湿地。湿地生态系统模拟建模是一种有助于产生更好的湿地保护和管理策略的方法。遥感和地理信息系统（GIS）在湿地生态系统模拟模型中的应用可以帮助更好地对湿地生态系统进行空间建模。此外，沿海地形模型可以实现地形表面和水生环境的数字表示。这项研究应用遥感和GIS技术来改善湿地植被模拟模型。首先，这项研究整合了多个地形数据源（即光检测和测距数据（LiDAR）和测深数据）以生成沿海地形模型。海岸线数据参与生成过程。其次，将先前存在的湿地模拟模型更新为新版本，以模拟安大略省朗波因特的湿地植被群落对水位波动的响应。第三，已经采用了不同的海岸地形模型来探索海岸地形模型如何影响湿地模拟结果。进行模型敏感性分析以探索模型模拟结果对不同植被过渡基线参数的变化。这项研究的发现表明，在湿地生态系统模拟模型中，高精度的海岸地形模型可能会产生更高的模拟精度。其次，遥感技术的应用和多个地形数据（例如LiDAR数据和测深仪数据）的集成可以在沿海地区，特别是在陆水过渡地区提供高精度和高密度的海拔信息。最后，狭窄的植被过渡基线增加了湿地群落向湿润的湿地群落转变的可能性。

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    Huang Jingwen;

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  • 年度 2016
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