2010 Index of Stream Condition - Vegetation Overhang 100m Section Summary Table

The ISC2010_VEGETATION_OVERHANG_S table is the Statistical Summary table for the Vegetation Overhang Metric at the 100m Section level.\n\nThe ISC2010_VEGETATION_OVERHANG_S table is designed to JOIN to the ISC2010_RIVER_CENTRELINES_S feature class.\n\nRiver condition in Victoria is assessed every 5 years using the Index of Stream Condition (ISC). The Department of Environment and Primary Industries (DEPI) developed a methodology to assess the Physical Form and Riparian Vegetation components of the ISC using remote sensing data, specifically LIDAR and aerial photography. \n\nA State Wide mapping project was undertaken in 2010-13 to accurately map the Physical Form and Riparian Vegetation metrics of the ISC . Other ISC metrics were not assessed in the project and were derived from other sources.\n\nThe Physical Form and Riparian Vegetation Metric products are a combination of mapped Vector and Raster data as well as Tabular Summary Statistics about the mapped features. In the context of the project, the term Metrics is used to refer to both the mapped features and the summary statistics. \n\nRemote sensing data used includes 15cm true colour and infra-red aerial photography and four return multi-pulse LiDAR data. This source data was used to derive a variety of Raster data sets including Digital Terrain Models, Slope, Vegetation Height and Vegetation Cover. The Digital Terrain and Slope rasters were used to map Physical Form metrics including Stream Bed, Top of Bank and River Centre Lines while the Vegetation Height and Cover rasters were used to map the Riparian Vegetation metrics.\nThe Project Report "Aerial Remote Sensing for Physical Channel Form and Riparian Vegetation Mapping" describes the remote sensing and mapping approach used to create this data set.

ISC2010_VEGETATION_OVERHANG_S表为100米河段级别的植被悬垂度指标统计汇总表。

ISC2010_VEGETATION_OVERHANG_S表可与ISC2010_RIVER_CENTRELINES_S要素类（feature class）进行关联连接。

维多利亚州每5年将采用溪流状况指数（Index of Stream Condition，ISC）对河流状况开展评估。环境与初级产业部（Department of Environment and Primary Industries，DEPI）开发了一套方法，借助遥感数据——具体为激光雷达（LiDAR）与航空摄影——来评估溪流状况指数的物理形态与河岸植被组分。

2010至2013年间，一项全州范围制图项目得以实施，旨在精准绘制溪流状况指数的物理形态与河岸植被指标。本次项目未对其他溪流状况指数指标进行评估，相关数据均取自其他外部来源。

物理形态与河岸植被指标产品为矢量（Vector）与栅格（Raster）制图数据，以及针对制图要素的表格统计汇总数据的综合集合。在本项目语境中，“指标”一词同时指代制图要素与汇总统计数据。

本次使用的遥感数据包含15厘米分辨率真彩色与红外航空摄影，以及四回波多脉冲激光雷达（LiDAR）数据。基于该源数据可衍生出多种栅格数据集，包括数字地形模型、坡度、植被高度与植被覆盖度。其中，数字地形与坡度栅格数据被用于绘制物理形态指标，涵盖河床、堤顶与河流中心线；而植被高度与覆盖度栅格数据则被用于绘制河岸植被指标。

项目报告"Aerial Remote Sensing for Physical Channel Form and Riparian Vegetation Mapping"详细阐述了用于创建本数据集的遥感与制图方法。