2 datasets found
  1. a

    Maine Orthoimagery Municipal Old Orchard Beach 2022

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • mainegeolibrary-maine.hub.arcgis.com
    • +3more
    Updated May 26, 2023
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    State of Maine (2023). Maine Orthoimagery Municipal Old Orchard Beach 2022 [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/maine::maine-orthoimagery-municipal-old-orchard-beach-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.

  2. d

    ECSTDB2014.SHP: U.S. Geological Survey East Coast Sediment Texture Database...

    • search.dataone.org
    • dataone.org
    Updated Feb 1, 2018
    + more versions
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    U.S. Geological Survey (2018). ECSTDB2014.SHP: U.S. Geological Survey East Coast Sediment Texture Database (2014) [Dataset]. https://search.dataone.org/view/0b982b86-bdf5-4279-9feb-157e999f1742
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    Dataset updated
    Feb 1, 2018
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    U.S. Geological Survey
    Time period covered
    Jan 1, 1955 - Mar 1, 2014
    Area covered
    Pacific Ocean, North Pacific Ocean
    Variables measured
    FID, AREA, MEAN, DB_ID, GROUP, PHIM1, PHIM2, PHIM3, PHIM4, PHIM5, and 50 more
    Description

    This sediment database contains location, description, and texture of samples taken by numerous marine sampling programs. Most of the samples are from the Atlantic Continental Margin of the United States, but some are from as diverse locations as Lake Baikal, Russia, the Hawaiian Islands region, Puerto Rico, the Gulf of Mexico, and Lake Michigan. The database presently contains data for over 27,000 samples, which includes texture data for approximately 3800 samples taken or analyzed by the Atlantic Continental Margin Program (ACMP), a joint U.S. Geological Survey/Woods Hole Oceanographic Institution project conducted from 1962 to 1970. As part of the ACMP, some historical data from samples collected between 1955 and 1962 were also incorporated into the dataset.

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State of Maine (2023). Maine Orthoimagery Municipal Old Orchard Beach 2022 [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/maine::maine-orthoimagery-municipal-old-orchard-beach-2022

Maine Orthoimagery Municipal Old Orchard Beach 2022

Explore at:
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.

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