{ "layers": [ { "currentVersion": 10.91, "cimVersion": "2.9.0", "id": 0, "name": "ImperviousSurfaces", "type": "Feature Layer", "description": "

The Santa Clara County Impervious Surfaces map (v. 6/7/22) is a 5-class fine-scale polygon vector representation of all artificial impervious surfaces in Santa Clara County.There are 1,866,057 features in the dataset. Non-impervious areas are not mapped and are not covered by polygons. The impervious map represents the state of the landscape in summer, 2020. This data product was produced by the impervious mapping team at the University of Vermont Spatial Analysis Lab. Table 1 lists download locations for the dataset.<\/SPAN><\/P>

  1. Santa Clara County impervious surfaces data product availability<\/SPAN><\/SPAN><\/P><\/LI><\/OL>

    Description<\/SPAN><\/SPAN><\/P><\/TD>

    Link<\/SPAN><\/SPAN><\/P><\/TD><\/TR>

    File GDB<\/SPAN><\/SPAN><\/P><\/TD>

    https://vegmap.press/Santa Clara_impervious_fgdb<\/SPAN><\/SPAN><\/A><\/P><\/TD><\/TR>

    ArcGIS Pro Layer Package<\/SPAN><\/SPAN><\/P><\/TD>

    https://vegmap.press/Santa Clara_impervious_layer_package<\/SPAN><\/SPAN><\/A><\/P><\/TD><\/TR>

    Vector Tile Layer<\/SPAN><\/SPAN><\/P><\/TD>

    https://vegmap.press/Santa Clara_impervious_vector_tile_layer<\/SPAN><\/SPAN><\/A><\/P><\/TD><\/TR><\/TBODY><\/TABLE>

    Detailed Dataset Description<\/SPAN><\/SPAN>:<\/SPAN><\/SPAN><\/P>

    The impervious map was created using \u201cexpert systems\u201d rulesets developed in Trimble Ecognition. These rulesets combine automated image segmentation with-object based image classification techniques. In contrast with machine learning approaches, expert systems rulesets are developed heuristically based on the knowledge of experienced image analysts. Key data sets used in the expert systems rulesets for impervious mapping included: high resolution (6 inch or greater) 4-band orthophotography (2020), the lidar point cloud (2020), and lidar derived rasters such as the canopy height model. <\/SPAN><\/SPAN><\/P>

    After it was produced using Trimble Ecognition, the preliminary impervious map product was manually edited by a team of UVM\u2019s photo interpreters. Manual editing corrected errors where the automated methods produced incorrect results. <\/SPAN><\/P>

    <\/P>

    The impervious map has 5 classes, which are described below:<\/SPAN><\/P>