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Improving National Land Cover Database Estimates of Road Network Impervious Cover Using Vector Road Networks in GIS

机译:利用GIS中的矢量路网改进道路网防渗覆盖的国家土地覆盖数据库估算。

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Polyline data are often adequate for qualitative representation of roadways for mapping and GIS yet they are often lacking when compared with surface coverages, such as raster data, for performing quantitative environmental simulation modeling where spatial representations are necessary. Widely used land cover raster data, such as the National Land Cover Database (NLCD), were however not collected with sufficient spatial resolution to allow adequate representation of small-scale features such as roadways. Using tools available in ArcGIS software, vector road files were obtained from the Accident Location Information System (ALIS) at the New York State Department of Transportation (NYSDOT) and converted to raster data to create spatially explicit representations of impervious area associated with roadways. Comparison of this new coverage with the NLCD results in an increase of approximately 3120 km~2 of newly identified impervious coverage for New York State (NYS) not present in the NLCD, representing a 244 percent increase from the transportation class in the NLCD. Of the land cover that would be reclassified to roadway using this methodology, approximately 40 percent would be reclassified from forest land, 31 percent from agricultural land, and 28 percent from the residential land cover classifications.
机译:折线数据通常足以用于地图和GIS的定性表示,但与地表覆盖率(例如栅格数据)相比,在需要空间表示的情况下进行定量环境模拟建模时,折线通常不足。但是,未收集具有广泛使用的土地覆盖栅格数据,例如国家土地覆盖数据库(NLCD),其空间分辨率不足以充分体现道路等小尺度特征。使用ArcGIS软件中提供的工具,可从纽约州交通局(NYSDOT)的事故地点信息系统(ALIS)获得矢量道路文件,并将其转换为栅格数据以创建与道路相关的不透水区域的空间显式表示。将该新覆盖范围与NLCD进行比较后,新确定的NLCD中不存在的纽约州(NYS)防渗覆盖范围增加了约3120 km〜2,比NLCD的运输级别增加了244%。使用此方法将重新分类为道路的土地覆被中,大约40%从林地重新分类,31%从农业用地重新分类,28%从住宅用地覆盖分类中重新分类。

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