7 datasets found
  1. w

    Philadelphia Nadir Imagery

    • data.wu.ac.at
    • demo.jkan.io
    imagery
    Updated Nov 28, 2016
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    City of Philadelphia (2016). Philadelphia Nadir Imagery [Dataset]. https://data.wu.ac.at/odso/www_opendataphilly_org/Y2FmZDI2YTgtNDM1MS00ZWNjLWIxYzEtMzlmODdlYTc2Mzc5
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    imageryAvailable download formats
    Dataset updated
    Nov 28, 2016
    Dataset provided by
    City of Philadelphia
    Area covered
    Philadelphia
    Description

    Nadir imagery of Philadelphia from 2010 with various additional basemaps including 2004 and 2008 Philadelphia imagery. The Philadelphia Street Centerlines can also be viewed on the map and there is an option to search by address.

    The 2010 data was captured by Pictometry International between March 17 and May 5, 2010. The City Planning Commission notes, "Automatic aerial triangulation (AAT) was performed. The triangulated frames were rectified to a Pictometry Produced LiDAR derived DEM. Rectification: Ortho-rectification was performed using Inpho's OrthoMaster software. A LiDAR based DEM was used as the rectification surface."

    Trouble downloading or have questions about this City dataset? Visit the OpenDataPhilly Discussion Group

  2. a

    Tacoma 2012 4in Mosaic

    • hub.arcgis.com
    Updated May 7, 2012
    + more versions
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    City of Tacoma GIS (2012). Tacoma 2012 4in Mosaic [Dataset]. https://hub.arcgis.com/datasets/tacoma::tacoma-2012-4in-mosaic
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    Dataset updated
    May 7, 2012
    Dataset authored and provided by
    City of Tacoma GIS
    License

    https://geohub.cityoftacoma.org/pages/disclaimerhttps://geohub.cityoftacoma.org/pages/disclaimer

    Area covered
    Description

    Tacoma 2012 - 4 inch Aerials for ArcGIS Online/Bing Maps/Google Maps, etc.Contact Info: Name: GIS Team Email: GISteam@cityoftacoma.orgCompany: Pictometry International Corp.Title: WA City of Tacoma 2012 Accuplus ProjectFlight Height: 3,500 feetFlight Dates: Between May 6th, 2012 and May 7th, 2012Dataset is orthoimagery. Logical consistency is not applicable.The 2012 City of Tacoma, WA Orthogonal data associated with this metadata file completely covers the project-specified boundary.GPS/INS processing: Data was post-processed using NGS CORS base station data.AeroTriangulation: Imagery was aerotriangulated using Inpho's Match-AT software.Rectification: Ortho-rectification was performed using Inpho's OrthoMaster software. A LiDAR based DEM was used as the rectification surface.Mosaicing: Mosaiking was performed using Inpho's OrthoVista software and SeamEditor was employed for manual corrections.Original ArcGIS coordinate system: Type: Projected Geographic coordinate reference: GCS_North_American_1983_HARN Projection: NAD_1983_HARN_StatePlane_Washington_South_FIPS_4602_Feet Well-known identifier: 2927Geographic extent - Bounding rectangle: West longitude: -122.570169 East longitude: -122.334799 North latitude: 47.323225 South latitude: 47.154908Extent in the item's coordinate system: West longitude: 1127000.000000 East longitude: 1184000.000000 South latitude: 671000.000000 North latitude: 731000.000000

  3. w

    Accuplus Project Spring 2010

    • data.wu.ac.at
    • demo.jkan.io
    html, imagery, xml
    Updated Jan 10, 2017
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    City of Philadelphia (2017). Accuplus Project Spring 2010 [Dataset]. https://data.wu.ac.at/odso/www_opendataphilly_org/MzBlZDk2NTEtZWZkOC00OTcwLWFlNzUtYzIyZDUyZGFiMmM4
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    imagery, html, xmlAvailable download formats
    Dataset updated
    Jan 10, 2017
    Dataset provided by
    City of Philadelphia
    Description

    Tiled orthogonal imagery of the City of Philadelphia created from nadir imagery. The data was originally collected for use in orthorectification of ortho mosaics and oblique delivery.

    The 2010 data was captured by Pictometry International between March 17 and May 5, 2010. The City of Philadelphia notes, "Automatic aerial triangulation (AAT) was performed. The triangulated frames were rectified to a Pictometry Produced LiDAR derived DEM. Rectification: Ortho-rectification was performed using Inpho's OrthoMaster software. A LiDAR based DEM was used as the rectification surface."

    Trouble downloading or have questions about this City dataset? Visit the OpenDataPhilly Discussion Group

  4. a

    LARIAC4 2016 Contours - Vector Tiles

    • hub.arcgis.com
    • egis-lacounty.hub.arcgis.com
    Updated Jan 29, 2024
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    County of Los Angeles (2024). LARIAC4 2016 Contours - Vector Tiles [Dataset]. https://hub.arcgis.com/maps/64eb8ddac0954276b0b0ea89b7a8a539
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    Dataset updated
    Jan 29, 2024
    Dataset authored and provided by
    County of Los Angeles
    Area covered
    Description

    Contours derived from the 2016 LAR-IAC4 program. The Digital Elevation Model was acquired using LiDAR (Light Detection And Ranging), which used a laser mounted in planes that were acquiring 4-inch orthophotography data. Hundreds of millions of ground measurements were made using this system, which makes it extremely accurate. This source was used for urban/suburban areas of the County in mainland (approximately 4,107 square miles) and Catalina Island covering approximately 107 square miles, while for the National Forest contours were created using stereo compilation.This dataset meets or exceeds ASPRS (American Society for Photogrammetry and Remote Sensing) 1:100 scale mapping. Accuracy is within +/- 2 feet of true location with 95% confidence.Detailed product information is contained in the LAR-IAC Product Guide.We highly recommend that you visit the LAR-IAC Project Website to find a rich source of information about the data and the LAR-IAC program. The site includes project documents, full FGDC compliant metadata, data downloads of related GIS used to complete the project, sub-licensing information, sample imagery and data, and information about the 2014-2016 acquisition.GIS Data showing flight-date information is available from the LAR-IAC Project website site.The imagery is held under license from Pictometry International Corp, and cannot be publicly released. Government entities are eligible to join the LAR-IAC program to access the data. Private entities may contact Pictometry directly to purchase selected parts of the data.

  5. t

    Tompkins County Water Resources Council Wetlands Inventory 2012

    • prod.testopendata.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +1more
    Updated Oct 6, 2020
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    Tompkins County Mapping Portal (2020). Tompkins County Water Resources Council Wetlands Inventory 2012 [Dataset]. https://prod.testopendata.com/datasets/tompkinscounty::tompkins-county-natural-resources-inventory-old?layer=10
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    Dataset updated
    Oct 6, 2020
    Dataset authored and provided by
    Tompkins County Mapping Portal
    Area covered
    Description
    Wetlands were mapped by visual interpretation of high-resolution aerial imagery available at no cost from the New York State Digital Orthoimagery Program (NYSDOP) and topographic analysis of high resolution LiDAR elevation data collected in 2008 by Pictometry (Rochester, NY) with funding from the Tompkins County Soil and Water Conservation District. All wetlands in the study area were delineated, with no minimum wetland size set, and described using the USFWS Cowardin classification for Wetlands and Deepwater Habitats (Cowardin, Carter, Golet, & LaRoe, 1979). Geospatial data processing and analysis were completed using Manifold 8.0 GIS System (Manifold Software Limited Wanchai, Hong Kong) and ArcGIS 10.1 (ESRI, Redlands, CA) as noted. 2007 NYSDOP aerial imagery which served as a primary data resource.




  6. h

    Carbon Assessment of Hawaii - Habitat Status

    • geoportal.hawaii.gov
    • opendata.hawaii.gov
    • +2more
    Updated Jan 1, 2015
    + more versions
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    Hawaii Statewide GIS Program (2015). Carbon Assessment of Hawaii - Habitat Status [Dataset]. https://geoportal.hawaii.gov/maps/carbon-assessment-of-hawaii-habitat-status
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    Dataset updated
    Jan 1, 2015
    Dataset authored and provided by
    Hawaii Statewide GIS Program
    Area covered
    Description

    [Metadata] Carbon Assessment of Hawaii - Habitat Status. This layer depicts the status, or degree of disturbance, to plant communities on the main Hawaiian Islands. Several layers were used to to create this version (v 3.4). The CAH Land Cover Map was produced to serve as a base map for estimating current and future carbon stocks for the main Hawaiian Islands as part of the U.S. Geological Survey's national carbon assessment.

    The original HabQual layer was developed by Jon Price and Jim Jacobi based on the mapped land cover units from the Hawaii GAP analysis program (Gon et al. 2006). This map was revised by combining data on land use and the “Bare” category from the NOAA C-CAP 2005 map (NOAA National Ocean Service Coastal Services Center 2012), and adding road corridors to the heavily disturbed category based on the Tiger Roads layer (United States Census Bureau 2014). Additionally, corrections were made to this version of the map by visually inspecting previously mapped units and comparing them to recent high-resolution imagery including WorldView 2 multi-spectral imagery and to very-high resolution RGB imagery obtained from Pictometry Online (Pictometery International 2014). Changes were made to the map using the program GRID Editor developed by ARIS B.V. (2014) by Jim Jacobi. Latest edits made in September 2014. For more information, please see complete metadata at https://files.hawaii.gov/dbedt/op/gis/data/cah_habitat_status_poly.html or contact the Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii, PO Box 2359, Honolulu, HI 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis/.

  7. a

    King County NWI Wetlands / wetlands nwi 2024 area

    • gis-kingcounty.opendata.arcgis.com
    Updated Dec 19, 2024
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    King County (2024). King County NWI Wetlands / wetlands nwi 2024 area [Dataset]. https://gis-kingcounty.opendata.arcgis.com/datasets/king-county-nwi-wetlands-wetlands-nwi-2024-area/about
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    Dataset updated
    Dec 19, 2024
    Dataset authored and provided by
    King County
    Area covered
    Description

    This wetland mapping project was funded by the King County Water and Land Services, Ecological Restoration and Engineering Services Unit, as part of a Best Available Science update. Wetlands within the King County boundary were mapped and classified, and reviewed by King County team members and National Wetland Inventory Staff. Wetlands were mapped and classified using: the National Wetlands Inventory (NWI) classification system (Cowardin et al., 1979) and the Landscape Position, Landform, Water Flow Path, and Water Body Type (LLWW) classification developed for the Western U.S. (Lemly et al. 2018).

    The main objective for this project was to improve the knowledge of wetland extent and value within King County. In all, more than approximately 6,600 square miles of land comprise the county. King County contracted with Geospatial Services (GSS) at Saint Mary's University of Minnesota to create of high-quality National Wetlands Inventory Plus (NWIPlus) level mapping for the county. Program staff will conduct some ground truthing of data. NWIPlus is an enhanced NWI product with hydrogeomorphic-type descriptors that can facilitate predicting wetland functions. The enhanced attributes describe wetland landform, water flow path and water body type. The updated mapping will be utilized by developers and landowners to avoid wetland impacts, and may be incorporated into other GIS models which would identify potential wetland restoration projects and conservation priorities. Finalized mapping was made available through the county’s online map applications and submitted to the US Fish and Wildlife Service for addition to the National Wetlands Inventory.

    King County completed this work as part of a Landscape Level 1 wetlands assessment. This work fits into the counties Wetland Program Plan (“The Plan”) and its goal of providing greater projection of wetlands and aquatic resources statewide. This work is overseen and is supported by the King County Wetland Program, within the Water and Land Services Department. The project, entitled “King County Wetland Inventory Update, King County, WA ” used geospatial techniques and image interpretation processes to remotely map and classify wetlands (includes deepwater habitats) and riparian areas in King County, WA. Wetlands for the project area were mapped and classified using on-screen digitizing methods in a Geographical Information System (GIS). This process was supported by development of a selective image interpretation key that resulted from field verification of image signatures and wetland classifications. Wetland image interpretation employed a variety of input image and collateral data sources, as well as field verification techniques. All mapping was completed at an on-screen scale of 1:5,000 or larger in compliance with national wetland mapping standards. The primary source imagery for mapping consisted of Eagleview, 2021, one-quarter foot, true-color pictometry. 8-bit, tiled orthophotography in TIFF format published by King County and mosaiced by GSS. Collateral data used in the mapping process included Light Detection and Ranging (LiDAR) Digital Elevation Model (DEM) 1.5 ft resolution and LiDAR derived products such as hillshade, contours, depth grids, and synthetic flow networks; King County Digital Surface Model Vegetation Height; King County Coho intrinsic potential stream layer; Beaver Intrinsic Potential (BIP); Historic National Wetland Inventory (NWI); National Hydrography Dataset (NHD) springs and watershed boundaries; ESRI basemap imagery; and Google Earth Time Slider True Color Imagery (GE); King County wetland layers; King County Stormwater features; King County wetland mitigation sites; King County Habitat Restoration sites; and Wetland Intrinsic Potential (WIP). All feature creation and attribution were completed with on-screen digitization procedures using ESRI, ArcGIS Pro 3.2.0 with advanced editing tools. For wetland mapping and classification projects at the landscape level, a desktop computer heads-up digitizing process is performed referencing the Federal Geographic Data Committee (FGDC) Wetlands Mapping Standard (FGDC-STD-015-2009, FGDC 2009) and the FGDC Classification of Wetlands and Deepwater Habitats of the United States Standard (FGDC-STD-004-2013, FGDC 2013). Field reviews are used to address questions regarding image interpretation, land use practices, classification of wetland type and verification of preliminary mapping. The King County inventory of wetlands used source imagery and collateral data to identify and classify features within the FGDC Standards (FGDC-STD-015-2009, FGDC 2009; FGDC-STD-004-2013, FGDC 2013). The projects Target Mapping Unit was 0.25 acres; however, features mapped beyond this TMU by request of King County and at the interpreters discretion. Following this process, the King County inventory went through a standardized Quality Assurance and Quality Control (QA/QC) process with the United States Fish and Wildlife Service (USFWS) NWI program, King County, and GSS’s internal QAQC review.

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City of Philadelphia (2016). Philadelphia Nadir Imagery [Dataset]. https://data.wu.ac.at/odso/www_opendataphilly_org/Y2FmZDI2YTgtNDM1MS00ZWNjLWIxYzEtMzlmODdlYTc2Mzc5

Philadelphia Nadir Imagery

Explore at:
imageryAvailable download formats
Dataset updated
Nov 28, 2016
Dataset provided by
City of Philadelphia
Area covered
Philadelphia
Description

Nadir imagery of Philadelphia from 2010 with various additional basemaps including 2004 and 2008 Philadelphia imagery. The Philadelphia Street Centerlines can also be viewed on the map and there is an option to search by address.

The 2010 data was captured by Pictometry International between March 17 and May 5, 2010. The City Planning Commission notes, "Automatic aerial triangulation (AAT) was performed. The triangulated frames were rectified to a Pictometry Produced LiDAR derived DEM. Rectification: Ortho-rectification was performed using Inpho's OrthoMaster software. A LiDAR based DEM was used as the rectification surface."

Trouble downloading or have questions about this City dataset? Visit the OpenDataPhilly Discussion Group

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