6 datasets found
  1. a

    Maine Orthoimagery Municipal Portland 2006 (Imagery Layer)

    • pmorrisas430623-gisanddata.opendata.arcgis.com
    • maine.hub.arcgis.com
    • +1more
    Updated Oct 2, 2018
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    State of Maine (2018). Maine Orthoimagery Municipal Portland 2006 (Imagery Layer) [Dataset]. https://pmorrisas430623-gisanddata.opendata.arcgis.com/items/035a18ca2d7a41598564e71a54d0b767
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    Dataset updated
    Oct 2, 2018
    Dataset authored and provided by
    State of Maine
    Area covered
    Description

    Tile Download Link 2006 3" pixel resolution orthoimagery of the city of Portland ME. Provided by the Maine Office of GIS and the Maine GeoLibrary Board. Portland 2006 3" orthoimagery - As the prime contractor, Bradstreet Consultants, Inc. used the aerial photography flown in one session on April 26th, 2006, by Richard Crouse & Associates, Inc. of Frederick, MD who acquired approximately 1335 photos @ 1"=600' with airborne GPS using a Wild RC-30 (#13261) aerial camera. Bradstreet Consultants, Inc. painted and repainted ground targets for photo survey control points (~200) to support full analytical aerotriangulation. The aerotriangulation solution was used to set up each stereopair of photos for orthorectification and DTM compilation. The ortho imagery was created by scanning (14 microns (um) per pixel or 1815 dpi) the original 1"=600' scale film and employing a digital terrain model (DTM) from updating some town's original DTM and some town's from scratch using the 1"=600' scale negatives or diapositives using both analytical and softcopy (digital) stereoplotter in the Kork KDMS format.

  2. a

    TreeViewer

    • hub.arcgis.com
    Updated Jun 8, 2016
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    The City of Portland, Maine (2016). TreeViewer [Dataset]. https://hub.arcgis.com/maps/PortlandME::treeviewer/about
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    Dataset updated
    Jun 8, 2016
    Dataset authored and provided by
    The City of Portland, Maine
    Area covered
    Description

    This tree map viewer shows tree types, size, condition and etc.

  3. a

    Maine Orthoimagery Municipal South Portland 2005 (Imagery Layer)

    • maine.hub.arcgis.com
    • hub.arcgis.com
    • +2more
    Updated Oct 2, 2018
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    State of Maine (2018). Maine Orthoimagery Municipal South Portland 2005 (Imagery Layer) [Dataset]. https://maine.hub.arcgis.com/datasets/c4e9aae2bd0548b58f83aa0555936752
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    Dataset updated
    Oct 2, 2018
    Dataset authored and provided by
    State of Maine
    Area covered
    Description

    Tile Download Link 2005 6" pixel resolution orthoimagery of South Portland from May 6, 2005. Provided by the Maine Office of GIS and the Maine GeoLibrary Board. As the prime contractor, Bradstreet Consultants, Inc. used the aerial photography flown in one session on May 6, 2005, by Richard Crouse & Associates, Inc. of Frederick, MD who acquired approximately 1335 photos @ 1"=600' with airborne GPS using a Wild RC-30 (#13261) aerial camera. Bradstreet Consultants, Inc. painted and repainted ground targets for photo survey control points (~200) to support full analytical aerotriangulation. The aerotriangulation solution was used to set up each stereopair of photos for orthorectification and DTM compilation. The ortho imagery was created by scanning (14 microns (um) per pixel or 1815 dpi) the original 1"=600' scale film and employing a digital terrain model (DTM) from updating some town's original DTM and some town's from scratch using the 1"=600' scale negatives or diapositives using both analytical and softcopy (digital) stereoplotter in the Kork KDMS format.

  4. a

    Maine Orthoimagery Municipal South Portland 2022

    • mainegeolibrary-maine.hub.arcgis.com
    • hub.arcgis.com
    • +2more
    Updated May 26, 2023
    + more versions
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    State of Maine (2023). Maine Orthoimagery Municipal South Portland 2022 [Dataset]. https://mainegeolibrary-maine.hub.arcgis.com/datasets/maine::maine-orthoimagery-municipal-south-portland-2022
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    Dataset updated
    May 26, 2023
    Dataset authored and provided by
    State of Maine
    Area covered
    Description

    Maine Statewide Orthoimagery Project - During the spring of 2020 new 4-band (R, G, B, and NIR) aerial imagery was acquired covering the entire project area using Leica ADS digital camera systems. All imagery was collected during the 2022 spring flying season during leaf-off conditions for deciduous vegetation in the State of Maine. The sun angle shall be 25-degrees or greater, and streams should be within their normal banks, unless otherwise negotiated. During flight planning and acquisition, a significant effort is made to limit clouds, snow (please note: small amounts of snow such as piles in parking lots, extreme shaded areas, within dense evergreens or unpopulated northern facing slopes may be acceptable), fog, haze, smoke, or other ground obscuring conditions in the imagery. In no case will the maximum cloud cover exceed 5% per image. Within the immediate areas of power plants, factories, or controlled agricultural burns some steam or smoke and/or shadows may be visible on imagery. Woolpert produced new 8-bit, 4-band stacked color digital orthoimagery files in GeoTIFF format with TFW “world file” at a 45cm (18-inch), 30cm (12-inch), 15cm (6-inch) and 7.5cm (3-inch).The Maine GeoLibrary Board has developed a statewide, 5-year, rotating orthoimagery acquisition program for Maine to facilitate state, regional and local government GIS base mapping in an efficient and cost-effective program. The State of Maine will use digital orthoimagery for the development of various base map products in a computerized GIS that will support the needs of the state and multiple stakeholders through applications, such as, multi-jurisdictional homeland security mapping applications, state and county emergency management applications, regional and local planning, state and local public safety applications, economic development and other GIS business objectives.

  5. a

    Maine Orthoimagery Regional 2012 (Imagery Layer)

    • pmorrisas430623-gisanddata.opendata.arcgis.com
    • hub.arcgis.com
    • +2more
    Updated Nov 16, 2016
    + more versions
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    State of Maine (2016). Maine Orthoimagery Regional 2012 (Imagery Layer) [Dataset]. https://pmorrisas430623-gisanddata.opendata.arcgis.com/datasets/864f43879f19480a824bea93fc6d0cce
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    Dataset updated
    Nov 16, 2016
    Dataset authored and provided by
    State of Maine
    Area covered
    Description

    Image Service | OGC WCS | OGC WMS | KMZ | Tile DownloadMaine Statewide Orthoimagery Project. All imagery was collected during the 2012 Spring flying season during leaf-off conditions for deciduous vegetation in the State of Maine. The sun angle was at 30-degrees or greater, and streams were within their normal banks. During the flight planning and acquisition, a significant effort was made to limit clouds, snow, fog, haze, smoke, or other ground obscuring conditions in the imagery. In no case does the maximum cloud cover exceed 5% per image. Within the immediate areas of power plants, factories, or controlled agricultural burns some steam or smoke and/or shadows may be visible on imagery. Supplemental flights were flown over the City of Portland central business district to minimize building lean.

  6. Microsoft Buildings Footprint Training Data with Heights

    • cityscapes-projects-gisanddata.hub.arcgis.com
    Updated Feb 27, 2019
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    Esri (2019). Microsoft Buildings Footprint Training Data with Heights [Dataset]. https://cityscapes-projects-gisanddata.hub.arcgis.com/datasets/esri::microsoft-buildings-footprint-training-data-with-heights-
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    Dataset updated
    Feb 27, 2019
    Dataset authored and provided by
    Esrihttp://esri.com/
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Area covered
    Description

    Microsoft recently released a free set of deep learning generated building footprints covering the United States of America. As part of that project Microsoft shared 8 million digitized building footprints with height information used for training the Deep Learning Algorithm. This map layer includes all buildings with height information for the original training set that can be used in scene viewer and ArcGIS pro to create simple 3D representations of buildings. Learn more about the Microsoft Project at the Announcement Blog or the raw data is available at Github.Click see Microsoft Building Layers in ArcGIS Online.Digitized building footprint by State and City

    Alabama Greater Phoenix City, Mobile, and Montgomery

    Arizona Tucson

    Arkansas Little Rock with 5 buildings just across the river from Memphis

    California Bakersfield, Fresno, Modesto, Santa Barbara, Sacramento, Stockton, Calaveras County, San Fran & bay area south to San Jose and north to Cloverdale

    Colorado Interior of Denver

    Connecticut Enfield and Windsor Locks

    Delaware Dover

    Florida Tampa, Clearwater, St. Petersburg, Orlando, Daytona Beach, Jacksonville and Gainesville

    Georgia Columbus, Atlanta, and Augusta

    Illinois East St. Louis, downtown area, Springfield, Champaign and Urbana

    Indiana Indianapolis downtown and Jeffersonville downtown

    Iowa Des Moines

    Kansas Topeka

    Kentucky Louisville downtown, Covington and Newport

    Louisiana Shreveport, Baton Rouge and center of New Orleans

    Maine Augusta and Portland

    Maryland Baltimore

    Massachusetts Boston, South Attleboro, commercial area in Seekonk, and Springfield

    Michigan Downtown Detroit

    Minnesota Downtown Minneapolis

    Mississippi Biloxi and Gulfport

    Missouri Downtown St. Louis, Jefferson City and Springfield

    Nebraska Lincoln

    Nevada Carson City, Reno and Los Vegas

    New Hampshire Concord

    New Jersey Camden and downtown Jersey City

    New Mexico Albuquerque and Santa Fe

    New York Syracuse and Manhattan

    North Carolina Greensboro, Durham, and Raleigh

    North Dakota Bismarck

    Ohio Downtown Cleveland, downtown Cincinnati, and downtown Columbus

    Oklahoma Downtown Tulsa and downtown Oklahoma City

    Oregon Portland

    Pennsylvania Downtown Pittsburgh, Harrisburg, and Philadelphia

    Rhode Island The greater Providence area

    South Carolina Greensville, downtown Augsta, greater Columbia area and greater Charleston area

    South Dakota greater Pierre area

    Tennessee Memphis and Nashville

    Texas Lubbock, Longview, part of Fort Worth, Austin, downtown Houston, and Corpus Christi

    Utah Salt Lake City downtown

    Virginia Richmond

    Washington Greater Seattle area to Tacoma to the south and Marysville to the north

    Wisconsin Green Bay, downtown Milwaukee and Madison

    Wyoming Cheyenne

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Click to copy link
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State of Maine (2018). Maine Orthoimagery Municipal Portland 2006 (Imagery Layer) [Dataset]. https://pmorrisas430623-gisanddata.opendata.arcgis.com/items/035a18ca2d7a41598564e71a54d0b767

Maine Orthoimagery Municipal Portland 2006 (Imagery Layer)

Explore at:
Dataset updated
Oct 2, 2018
Dataset authored and provided by
State of Maine
Area covered
Description

Tile Download Link 2006 3" pixel resolution orthoimagery of the city of Portland ME. Provided by the Maine Office of GIS and the Maine GeoLibrary Board. Portland 2006 3" orthoimagery - As the prime contractor, Bradstreet Consultants, Inc. used the aerial photography flown in one session on April 26th, 2006, by Richard Crouse & Associates, Inc. of Frederick, MD who acquired approximately 1335 photos @ 1"=600' with airborne GPS using a Wild RC-30 (#13261) aerial camera. Bradstreet Consultants, Inc. painted and repainted ground targets for photo survey control points (~200) to support full analytical aerotriangulation. The aerotriangulation solution was used to set up each stereopair of photos for orthorectification and DTM compilation. The ortho imagery was created by scanning (14 microns (um) per pixel or 1815 dpi) the original 1"=600' scale film and employing a digital terrain model (DTM) from updating some town's original DTM and some town's from scratch using the 1"=600' scale negatives or diapositives using both analytical and softcopy (digital) stereoplotter in the Kork KDMS format.

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