2010 Index of Stream Condition - Large Trees Reach Summary Table

The ISC2010_LARGE_TREES_R table is the Statistical Summary table for the Large Trees Metric at the Reach level.\n\nThe ISC2010_LARGE_TREES_R table is designed to JOIN to the ISC2010_RIVER_CENTRELINES_R 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_LARGE_TREES_R 表为河段级（Reach level）大树指标（Large Trees Metric）的统计汇总表。

ISC2010_LARGE_TREES_R 表设计用于与ISC2010_RIVER_CENTRELINES_R 要素类（feature class）进行JOIN连接。

维多利亚州的河流状况每5年通过溪流状况指数（Index of Stream Condition, ISC）进行评估。澳大利亚环境与初级产业部（Department of Environment and Primary Industries, DEPI）开发了一套方法，利用遥感数据（尤其是激光雷达（LiDAR）与航空摄影）来评估ISC的物理形态（Physical Form）与河岸植被（Riparian Vegetation）组分。

2010至2013年间实施了一项全州范围制图项目，以精准制图ISC的物理形态与河岸植被指标。该项目未对其余ISC指标进行评估，其余指标均源自其他数据源。

物理形态与河岸植被指标产品由已制图的矢量（Vector）数据、栅格（Raster）数据，以及针对所制图要素的表格汇总统计数据共同组成。在本项目语境中，“指标（Metrics）”一词同时指代已制图要素与汇总统计数据。

本次使用的遥感数据包括分辨率为15厘米的真彩色与红外航空摄影数据，以及四次回波多脉冲激光雷达（LiDAR）数据。通过上述源数据可衍生出多种栅格数据集，包括数字地形模型（Digital Terrain Models, DTM）、坡度、植被高度与植被覆盖度数据。其中，数字地形与坡度栅格被用于制图物理形态指标，包括河床（Stream Bed）、岸顶（Top of Bank）与河流中心线（River Centre Lines）；而植被高度与覆盖度栅格则被用于制图河岸植被指标。

题为《用于物理河道形态与河岸植被制图的航空遥感》（"Aerial Remote Sensing for Physical Channel Form and Riparian Vegetation Mapping"）的项目报告，详细说明了用于构建本数据集的遥感与制图方法。