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Satellite Remote Sensing as a Tool for Habitat Mapping and Subsidence Monitoring in Raised Bogs

机译:卫星遥感作为养老沼泽栖息地测绘和沉降监测的工具

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The study explores the utility of high spatial resolution, multispectral optical and SAR satellite data to map the habitat distribution and vertical expansion/contraction and stability of raised bogs. The site under study is Clara bog in Co. Offaly (Ireland), which is raised bog protected as a Special Area of Conservation (SAC) and Natural Heritage Area (NHA). Methods to characterise habitat distribution include the investigation and classification of the multispectral optical data on its own and combined with SAR data. Supervised classification techniques will be explored using both hard and soft/fuzzy classifiers in attempting to classify raised bog species and habitats. Interferometric techniques, using a time series of C-band and L-band SAR images, will be used to determine the feasibility of identifying and quantifying centimetre level vertical displacements within the bog.
机译:该研究探讨了高空间分辨率,多光谱光学和SAR卫星数据的效用,以映射植物分布和垂直膨胀/收缩和升高的凸起的稳定性。该网站正在研究中是Carla Bog in Co. offaly(爱尔兰),被提升沼泽被保护为保护(SAC)和自然遗产地区(NHA)的特殊区域。表征栖息地分发的方法包括对自己的多光谱光学数据的调查和分类,并与SAR数据组合。通过硬/软/模糊分类器将探索监督分类技术,试图对提高的沼泽物种和栖息地进行分类。使用时间序列C波段和L波段SAR图像的干涉技术将用于确定识别和量化沼泽内厘米垂直位移的可行性。

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