Geomorphic risk assessment of the 2022 floods in the Wilsons catchment, NSW

This collection comprises geomorphic risk assessment of 2022 floods for Wilsons catchments. This includes: \n\n(i) geomorphic risk assessment based on excessive erosion, \n(ii) geomorphic risk assessment based on change in river behaviour, \n(iii) geomorphic risk assessment based on sediment imbalance, \n(iv) total erosion volume across the river corridor at 1km segment, \n(v) total deposition volume across the river corridor at 1km segment, \n(vi) net erosion/deposition volume across the river corridor at 1km segment, \n(vii) characterisation of geomorphic adjustments across the river corridor at 1km segment, \n(viii) post flood river behaviour characterisation, \n(ix) DEM of Difference across the river corridor and \n(x) DEM of Difference across the catchment. \n\nThe i to viii datasets are in vector format (shapefile) at a spatial resolution of 1km segments using the GDA2020 MGA Zone 56 Australian Albers coordinate projection system. The ix and x are in raster format (GeoTiffs) at a spatial resolution of 1 m × 1 m pixel using the GDA2020 MGA Zone 56 Australian Albers coordinate projection system. \n\nThese geomorphic risk datasets have been developed using various publicly available datasets: (i) pre and post flood LiDAR DEM (https://elevation.fsdf.org.au/), (ii) pre and post flood high resolution imagery (https://portal.spatial.nsw.gov.au/portal/apps/sites/#/homepage and CSIRO), (iii) post flood bathymetry (https://elevation.fsdf.org.au/) and (iv) stream network with historical geomorphic change characterisation (Khan and Fryirs, 2020). \n\nThe DEM of Difference was implemented in the Python programming language through a Jupyter Notebook interface (https://jupyter.org/). Read-only versions of the Jupyter Notebook code are included in this collection.\nLineage: Please refer to the associated technical report: Geomorphic Risk assessment of the 2022 floods in the Wilsons catchment本数据集集合涵盖威尔逊流域（Wilsons catchments）2022年洪水的地貌风险评估（geomorphic risk assessment）相关内容，具体包含以下十项： (i) 基于过度侵蚀的地貌风险评估； (ii) 基于河流行为变化的地貌风险评估； (iii) 基于泥沙失衡的地貌风险评估； (iv) 1公里河段河道走廊内总侵蚀体积； (v) 1公里河段河道走廊内总沉积体积； (vi) 1公里河段河道走廊内净侵蚀/沉积体积； (vii) 1公里河段河道走廊内地貌调整特征表征； (viii) 洪水后河流行为特征表征； (ix) 河道走廊差分数字高程模型（DEM of Difference）； (x) 流域差分数字高程模型（DEM of Difference）。 上述第(i)至(viii)项数据集采用矢量格式（shapefile），以1公里河段为空间分辨率单元，坐标系为GDA2020 MGA第56带澳大利亚阿尔伯斯投影系统；第(ix)与(x)项数据集采用栅格格式（GeoTiffs），空间分辨率为1米×1米像素，坐标系同样采用GDA2020 MGA第56带澳大利亚阿尔伯斯投影系统。 本套地貌风险数据集依托多套公开数据集构建：(i) 洪水前后激光雷达数字高程模型（LiDAR DEM）（来源：https://elevation.fsdf.org.au/）；(ii) 洪水前后高分辨率遥感影像（来源：https://portal.spatial.nsw.gov.au/portal/apps/sites/#/homepage 与澳大利亚联邦科学与工业研究组织（CSIRO））；(iii) 洪水后水深测量数据（来源：https://elevation.fsdf.org.au/）；(iv) 带有历史地貌变化特征表征的河网数据（Khan与Fryirs, 2020）。 差分数字高程模型（DEM of Difference）通过Jupyter Notebook界面基于Python编程语言实现，本数据集集合中附带该Jupyter Notebook代码的只读版本。 数据溯源：请参阅相关技术报告《威尔逊流域2022年洪水地貌风险评估》（Geomorphic Risk assessment of the 2022 floods in the Wilsons catchment）