Name: GraceAffordableHousing Level 2, Units 2, 4, 5, 7
Display Field: sub_name
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: This dataset originated as a subset of the SGID10.LOCATION.Buildings derived from building footprints generated by Microsoft for all 50 States https://github.com/Microsoft/USBuildingFootprints In some cases the pixel prediction algorithm used by Microsoft identified and created building footprints where no buildings existed. To flag potential errors, building footprints within 750 meters of known populated areas (SGID10.DEMOGRAPHIC.PopBlockAreas2010_Approx) and within 500 meters of an address point (SGID10.LOCATION.AddressPoints) were selected and indentified as being a likely structure, footprints falling outside these areas were identified as possible buildings in the 'TYPE' field. In addition, attributes were added for address, city, county, and zip where possible. Since the original download, footprints have been digitized and added by Washington County GIS.A representation for symbolizing (RuleID_1) the layer as "building shadows" is also included within the dataset.
Service Item Id: 257b742ed7c3472c96e08424f69e888f
Copyright Text: This data is created and licensed by Microsoft under the Open Data Commons Open Database License (ODbL) https://opendatacommons.org/licenses/odbl/. Schema and attributes provided by the AGRC. Washington County makes no claim to the accuracy or completeness of the data used and assumes no legal liability for mistakes and/or errors in this data. This data was created for informational purposes only and should not be used to find exact locations of property boundaries, as a legal document, or for property descriptions or determination of legal title, and should never be substituted for survey or deed information.
Name: GraceAffordableHousing Level 1, Units 2, 4, 5, 7
Display Field: sub_name
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: This dataset originated as a subset of the SGID10.LOCATION.Buildings derived from building footprints generated by Microsoft for all 50 States https://github.com/Microsoft/USBuildingFootprints In some cases the pixel prediction algorithm used by Microsoft identified and created building footprints where no buildings existed. To flag potential errors, building footprints within 750 meters of known populated areas (SGID10.DEMOGRAPHIC.PopBlockAreas2010_Approx) and within 500 meters of an address point (SGID10.LOCATION.AddressPoints) were selected and indentified as being a likely structure, footprints falling outside these areas were identified as possible buildings in the 'TYPE' field. In addition, attributes were added for address, city, county, and zip where possible. Since the original download, footprints have been digitized and added by Washington County GIS.A representation for symbolizing (RuleID_1) the layer as "building shadows" is also included within the dataset.
Service Item Id: 257b742ed7c3472c96e08424f69e888f
Copyright Text: This data is created and licensed by Microsoft under the Open Data Commons Open Database License (ODbL) https://opendatacommons.org/licenses/odbl/. Schema and attributes provided by the AGRC. Washington County makes no claim to the accuracy or completeness of the data used and assumes no legal liability for mistakes and/or errors in this data. This data was created for informational purposes only and should not be used to find exact locations of property boundaries, as a legal document, or for property descriptions or determination of legal title, and should never be substituted for survey or deed information.
Description: This dataset originated as a subset of the SGID10.LOCATION.Buildings derived from building footprints generated by Microsoft for all 50 States https://github.com/Microsoft/USBuildingFootprints In some cases the pixel prediction algorithm used by Microsoft identified and created building footprints where no buildings existed. To flag potential errors, building footprints within 750 meters of known populated areas (SGID10.DEMOGRAPHIC.PopBlockAreas2010_Approx) and within 500 meters of an address point (SGID10.LOCATION.AddressPoints) were selected and indentified as being a likely structure, footprints falling outside these areas were identified as possible buildings in the 'TYPE' field. In addition, attributes were added for address, city, county, and zip where possible. Since the original download, footprints have been digitized and added by Washington County GIS.A representation for symbolizing (RuleID_1) the layer as "building shadows" is also included within the dataset.
Service Item Id: 257b742ed7c3472c96e08424f69e888f
Copyright Text: This data is created and licensed by Microsoft under the Open Data Commons Open Database License (ODbL) https://opendatacommons.org/licenses/odbl/. Schema and attributes provided by the AGRC. Washington County makes no claim to the accuracy or completeness of the data used and assumes no legal liability for mistakes and/or errors in this data. This data was created for informational purposes only and should not be used to find exact locations of property boundaries, as a legal document, or for property descriptions or determination of legal title, and should never be substituted for survey or deed information.
Name: GraceAffordableHousing Level 2, Units 1, 3, 6
Display Field: sub_name
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: This dataset originated as a subset of the SGID10.LOCATION.Buildings derived from building footprints generated by Microsoft for all 50 States https://github.com/Microsoft/USBuildingFootprints In some cases the pixel prediction algorithm used by Microsoft identified and created building footprints where no buildings existed. To flag potential errors, building footprints within 750 meters of known populated areas (SGID10.DEMOGRAPHIC.PopBlockAreas2010_Approx) and within 500 meters of an address point (SGID10.LOCATION.AddressPoints) were selected and indentified as being a likely structure, footprints falling outside these areas were identified as possible buildings in the 'TYPE' field. In addition, attributes were added for address, city, county, and zip where possible. Since the original download, footprints have been digitized and added by Washington County GIS.A representation for symbolizing (RuleID_1) the layer as "building shadows" is also included within the dataset.
Service Item Id: 257b742ed7c3472c96e08424f69e888f
Copyright Text: This data is created and licensed by Microsoft under the Open Data Commons Open Database License (ODbL) https://opendatacommons.org/licenses/odbl/. Schema and attributes provided by the AGRC. Washington County makes no claim to the accuracy or completeness of the data used and assumes no legal liability for mistakes and/or errors in this data. This data was created for informational purposes only and should not be used to find exact locations of property boundaries, as a legal document, or for property descriptions or determination of legal title, and should never be substituted for survey or deed information.
Name: GraceAffordableHousing Level 1, Units 1, 3, 6
Display Field: sub_name
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: This dataset originated as a subset of the SGID10.LOCATION.Buildings derived from building footprints generated by Microsoft for all 50 States https://github.com/Microsoft/USBuildingFootprints In some cases the pixel prediction algorithm used by Microsoft identified and created building footprints where no buildings existed. To flag potential errors, building footprints within 750 meters of known populated areas (SGID10.DEMOGRAPHIC.PopBlockAreas2010_Approx) and within 500 meters of an address point (SGID10.LOCATION.AddressPoints) were selected and indentified as being a likely structure, footprints falling outside these areas were identified as possible buildings in the 'TYPE' field. In addition, attributes were added for address, city, county, and zip where possible. Since the original download, footprints have been digitized and added by Washington County GIS.A representation for symbolizing (RuleID_1) the layer as "building shadows" is also included within the dataset.
Service Item Id: 257b742ed7c3472c96e08424f69e888f
Copyright Text: This data is created and licensed by Microsoft under the Open Data Commons Open Database License (ODbL) https://opendatacommons.org/licenses/odbl/. Schema and attributes provided by the AGRC. Washington County makes no claim to the accuracy or completeness of the data used and assumes no legal liability for mistakes and/or errors in this data. This data was created for informational purposes only and should not be used to find exact locations of property boundaries, as a legal document, or for property descriptions or determination of legal title, and should never be substituted for survey or deed information.
Description: Tree points generated using 2017 LiDAR/LAS Dataset and 2016 NAIP imagery.This dataset was created using the "Tree Points from LAS Dataset and NAIP" ESRI tool. This process useda LAS Dataset (preferably with buildings turned off) and NAIP 4 Band Imagery (or 3 Band Imagery) to extract tree points. The points have attributes for Slope, Vegetation, Height, Flow Accumulation and Z Range plus Accumulation (Slope, Vegetation, Height, Accum, and ZplusFlow). The definition query variables were then changed to select trees from high points.The process for this was originally designed to find high Spot Elevations from DEM and has now been modified to work with LiDAR data. The output is a Point Feature Class and a NDVI image.Thetool does not perfectly extract every tree, but is a start for a tree inventory and can be improved with further analysis. It generates an All High Points featureclass that may contain missed trees and using a modified definition queries on attributes in the All High Points may produce better results.
Description: Tree points generated using 2017 LiDAR/LAS Dataset and 2016 NAIP imagery.This dataset was created using the "Tree Points from LAS Dataset and NAIP" ESRI tool. This process useda LAS Dataset (preferably with buildings turned off) and NAIP 4 Band Imagery (or 3 Band Imagery) to extract tree points. The points have attributes for Slope, Vegetation, Height, Flow Accumulation and Z Range plus Accumulation (Slope, Vegetation, Height, Accum, and ZplusFlow). The definition query variables were then changed to select trees from high points.The process for this was originally designed to find high Spot Elevations from DEM and has now been modified to work with LiDAR data. The output is a Point Feature Class and a NDVI image.Thetool does not perfectly extract every tree, but is a start for a tree inventory and can be improved with further analysis. It generates an All High Points featureclass that may contain missed trees and using a modified definition queries on attributes in the All High Points may produce better results.
Description: This dataset originated as a subset of the SGID10.LOCATION.Buildings derived from building footprints generated by Microsoft for all 50 States https://github.com/Microsoft/USBuildingFootprints In some cases the pixel prediction algorithm used by Microsoft identified and created building footprints where no buildings existed. To flag potential errors, building footprints within 750 meters of known populated areas (SGID10.DEMOGRAPHIC.PopBlockAreas2010_Approx) and within 500 meters of an address point (SGID10.LOCATION.AddressPoints) were selected and indentified as being a likely structure, footprints falling outside these areas were identified as possible buildings in the 'TYPE' field. In addition, attributes were added for address, city, county, and zip where possible. Since the original download, footprints have been digitized and added by Washington County GIS.A representation for symbolizing (RuleID_1) the layer as "building shadows" is also included within the dataset.
Service Item Id: 257b742ed7c3472c96e08424f69e888f
Copyright Text: This data is created and licensed by Microsoft under the Open Data Commons Open Database License (ODbL) https://opendatacommons.org/licenses/odbl/. Schema and attributes provided by the AGRC. Washington County makes no claim to the accuracy or completeness of the data used and assumes no legal liability for mistakes and/or errors in this data. This data was created for informational purposes only and should not be used to find exact locations of property boundaries, as a legal document, or for property descriptions or determination of legal title, and should never be substituted for survey or deed information.