10 datasets found
  1. U

    Drone aerial image collection to produce ortho-imagery and digital terrain...

    • data.usgs.gov
    • catalog.data.gov
    Updated Aug 27, 2024
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    Stephen Hartley; William Jones (2024). Drone aerial image collection to produce ortho-imagery and digital terrain models for two sites in coastal Louisiana [Dataset]. http://doi.org/10.5066/P1OHGKWF
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    Dataset updated
    Aug 27, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Stephen Hartley; William Jones
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Time period covered
    Mar 19, 2024 - Mar 25, 2024
    Area covered
    Louisiana
    Description

    South Louisiana's continued land-loss due to erosion and subsidence is a constant process and demands attention thru restoration and mitigation efforts. Data is needed to determine elevation and vegetation related to subsidence, climate change and saltwater intrusion. This information is critical to our partners for continued monitoring of marsh in degrading landscape. Weather from subsidence ,erosion or other factors, changing sediments is having detrimental effects on the marsh landscape. Providing imagery and digital surface models will help researchers correlate other datasets to determine factors contributing to marsh changes.

  2. d

    ScienceBase Item Summary Page

    • datadiscoverystudio.org
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    U.S. Geological Survey, ScienceBase Item Summary Page [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/f1ac0a66b472487b9ac38d59b1353652/html
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    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Description

    Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information

  3. a

    imagery

    • hub.arcgis.com
    Updated Aug 15, 2020
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    lsuga_publisher (2020). imagery [Dataset]. https://hub.arcgis.com/datasets/3a0ccbc16e18435f9784b9c80d8def83_0
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    Dataset updated
    Aug 15, 2020
    Dataset authored and provided by
    lsuga_publisher
    Area covered
    Description

    DownloadTo download the source imagery of this basemap, see the Atlas Dataset page.MetadataCollection date: February 25 to March 21, 2016Resolution: 6 inchesCoverage: Richland Parish, LouisianaDownloadable data format: MrSidAdditional metadata: richland_parish_6in_RPAO_2016_metadata.xmlNotesThis dataset contains six-inch orthoimagery of Richland Parish, Louisiana. The aerial photographs were taken in late February to early March 2016, covering the entire parish. The images are in MrSID MG2 format with three bands. The downloadable MrSid files are projected in NAD1983 State Plane Louisiana North FIPS 1701 (feet, WKID: 3451), while the web service has been projected to Web Mercator. The dataset was provided to Atlas by the Richland Parish Assessor’s Office, and is distributed by Atlas under a Creative Commons Attribution-ShareAlike license.

  4. c

    Satellite-based barrier island habitat maps, Caminada Headland, Louisiana,...

    • s.cnmilf.com
    • data.usgs.gov
    • +1more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Satellite-based barrier island habitat maps, Caminada Headland, Louisiana, 2012–2019 (ver. 2.0, December 2022) [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/satellite-based-barrier-island-habitat-maps-caminada-headland-louisiana-20122019-ver-2-0-d
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Louisiana
    Description

    This product is a satellite-based habitat map time series from 2012 to 2019 for the Caminada Headland reach of the Louisiana Gulf shoreline to facilitate monitoring of the National Fish and Wildlife Foundation (NFWF) Caminada Headland Beach and Dune Restoration Incr2 project area (BA-0143). The project restored 489 acres of beach and dune habitat along more than seven miles of Caminada Headland in Jefferson and Lafourche Parishes in Louisiana through the direct placement of about 5.4 million cubic yards of sandy substrate from Ship Shoal. For more information on this restoration project, see the project page on Louisiana Coastal Protection and Restoration Authority’s (CPRA) Coastal Information Management System (https://cims.coastal.la.gov/outreach/projects/ProjectView?projID=BA-0143). The time period for these maps spans before, during, and after the restoration project. These maps were produced using a random forest model that classified cover types (that is, bare, herbaceous vegetation, woody vegetation, and water) based on spectral indices from Sentinel-2 and Landsat 8 imagery. These products complement habitat maps that were developed from orthoimagery and elevation data using a detailed 15-class habitat scheme developed by the CPRA’s Barrier Island Comprehensive Monitoring (BICM) Program. The BICM Program uses both historical data and contemporary data collections to assess and monitor changes to barrier islands. Habitat map products are one type of BICM dataset. For more information about the BICM Program, see Kindinger and others (2013); for more information about recent BICM habitat mapping, see Enwright and others (2020). These habitat maps were utilized with ecological data in an analysis of avian habitat occupancy and use/function for several focal species pre- and post-restoration activity. The results of this analysis will help land managers evaluate how restoration and subsequent natural ecological processes impact bird species of conservation concern, and target restoration activities that enhance island sustainability and preserve avian habitat availability.

  5. d

    2005 Digitized Shoreline for Breton Island, Louisiana (Geographic, NAD83)

    • search.dataone.org
    • data.usgs.gov
    • +2more
    Updated Sep 14, 2017
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    Joseph F. Terrano; Kathryn E. Smith; James G. Flocks (2017). 2005 Digitized Shoreline for Breton Island, Louisiana (Geographic, NAD83) [Dataset]. https://search.dataone.org/view/4fb7ebf5-acb8-4342-ac1f-ce9f9f73a89b
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    Dataset updated
    Sep 14, 2017
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Joseph F. Terrano; Kathryn E. Smith; James G. Flocks
    Area covered
    Variables measured
    Year, DATE_, Shape, OBJECTID, Shape_Leng, Shoreline_, UNCERTAINT
    Description

    Shorelines were derived from the U.S. Geological Survey Earth Resources Observation and Science (EROS) Center’s Digital Orthophoto Quadrangle (DOQ) images collected on November 17, 2005. This dataset contains digitized shorelines created from the USGS imagery for Breton Island, Louisiana. Shorelines were digitized in ArcMap 10.2.2 so they could be used for area and shoreline change analysis, using the Digital Shoreline Analysis System (DSAS) version 4.0.

  6. d

    Data from: 2007 Digitized Shoreline for Breton Island, Louisiana...

    • datadiscoverystudio.org
    pdf, zip
    Updated Dec 12, 2017
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    (2017). 2007 Digitized Shoreline for Breton Island, Louisiana (Geographic, NAD83). [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/cf168c18a7dd48bb82ca660602e3595d/html
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    pdf, zipAvailable download formats
    Dataset updated
    Dec 12, 2017
    Area covered
    Breton Islands
    Description

    description: Shorelines were derived from the National Agriculture Imagery Program (NAIP) digital ortho imagery collected on October 11, 2007. This dataset contains digitized shorelines created from the NAIP imagery for Breton Island, Louisiana. Shorelines were digitized in ArcMap 10.2.2 so they could be used for area and shoreline change analysis using the Digital Shoreline Analysis System (DSAS) Version 4.0.; abstract: Shorelines were derived from the National Agriculture Imagery Program (NAIP) digital ortho imagery collected on October 11, 2007. This dataset contains digitized shorelines created from the NAIP imagery for Breton Island, Louisiana. Shorelines were digitized in ArcMap 10.2.2 so they could be used for area and shoreline change analysis using the Digital Shoreline Analysis System (DSAS) Version 4.0.

  7. NOAA Integrated Ocean and Coastal Mapping (IOCM) true color (RGB)...

    • datasets.ai
    • search.dataone.org
    • +2more
    0
    Updated Sep 7, 2024
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    National Oceanic and Atmospheric Administration, Department of Commerce (2024). NOAA Integrated Ocean and Coastal Mapping (IOCM) true color (RGB) orthorectified mosaic image tiles, Baton Rouge to LaPlace, Louisiana 2010 (NCEI Accession 0074374) [Dataset]. https://datasets.ai/datasets/noaa-integrated-ocean-and-coastal-mapping-iocm-true-color-rgb-orthorectified-mosaic-image-tiles3
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    0Available download formats
    Dataset updated
    Sep 7, 2024
    Dataset provided by
    United States Department of Commercehttp://www.commerce.gov/
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Authors
    National Oceanic and Atmospheric Administration, Department of Commerce
    Area covered
    Baton Rouge, LaPlace, Louisiana
    Description

    This data set contains ortho-rectified mosaic tiles, created as a product from the NOAA Integrated Ocean and Coastal Mapping (IOCM) initiative of the Mississippi River (Baton Rouge to LaPlace, the Louisiana shoreline, the Lake Charles area, and LaPlace to Venice). The true color images were acquired with an Applanix Digital Sensor System (DSS). The original images were acquired at a higher resolution than the final ortho-rectified mosaic. Ortho-rectified mosaic tiles are an ancillary product of NOAA's Coastal Mapping Program (CMP), created through a wider Integrated Ocean and Coastal Mapping initiative to increase support for multiple uses of the data.

    For the Louisiana shoreline, the purpose of the imagery was to provide digital shoreline and orthophotos for NOAA nautical charts. The shoreline area covers the Barrier Islands of Terrebonne and Timbalier Bays on the coast of the State of Louisiana.

    For Baton Rouge, source imagery was acquired on March 13, 2010, March 14, 2010 and March 15, 2010. The ground sample distance (GSD) for each pixel is 0.5 m. These data are in .his, .tif, and .jpg formats with associated metadata. Additional orthoimagery for this region (Baton Rouge to Southwest Pass) are filed under NODC accession numbers 0103945 and 0104414. Additional ortho-mosaic data is available at the NODC under individual accession numbers.

    Ortho-rectified mosaic tiles are not intended for mapping, charting or navigation.

  8. c

    NOAA Integrated Ocean and Coastal Mapping (IOCM) infrared (IR)...

    • s.cnmilf.com
    • search.dataone.org
    • +2more
    Updated Jul 1, 2025
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    (Point of Contact) (2025). NOAA Integrated Ocean and Coastal Mapping (IOCM) infrared (IR) orthorectified mosaic image tiles, Lake Charles, Louisiana 2009-2010 (NCEI Accession 0100232) [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/noaa-integrated-ocean-and-coastal-mapping-iocm-infrared-ir-orthorectified-mosaic-image-tiles-la
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    Dataset updated
    Jul 1, 2025
    Dataset provided by
    (Point of Contact)
    Area covered
    Lake Charles, Louisiana
    Description

    This data set contains infrared (IR) ortho-rectified mosaic tiles, created as a product from the NOAA Integrated Ocean and Coastal Mapping (IOCM) initiative. The source imagery was acquired from 20091123 - 20100312. The images were acquired with an Applanix Digital Sensor System (DSS). The original images were acquired at a higher resolution than the final ortho-rectified mosaic. Ortho-rectified mosaic tiles are an ancillary product of NOAA's Coastal Mapping Program (CMP), created through a wider Integrated Ocean and Coastal Mapping initiative to increase support for multiple uses of the data. Data are in .tif format with associated .omd (Class model Prosa OM), .his (HIStory), browse graphic (.jpg), and metadata (.txt) files. The metadata utilize the Federal Geographic Data Committee (FGDC) format. The ground sample distance (GSD) for each pixel is 0.50 m. True color (RGB) orthoimagery for this _location is archived at the NODC under accession number 0075827.

  9. d

    Satellite-based barrier island habitat maps, Whiskey Island, Louisiana,...

    • catalog.data.gov
    • data.usgs.gov
    Updated Jul 6, 2024
    + more versions
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    U.S. Geological Survey (2024). Satellite-based barrier island habitat maps, Whiskey Island, Louisiana, 2012–2020 (ver. 2.0, December 2022) [Dataset]. https://catalog.data.gov/dataset/satellite-based-barrier-island-habitat-maps-whiskey-island-louisiana-20122020-ver-2-0-dece
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Whiskey Island, Louisiana
    Description

    This product is a satellite-based habitat map time series from 2012 to 2020 for the Whiskey Island reach of the Louisiana Gulf shoreline to facilitate monitoring of the Natural Resource Damage Assessment (NRDA) Caillou Lake Headlands project area (TE-0100), also known as Whiskey Island. The project created 170 acres of marsh habitat and 917 acres of dune and beach habitat on Whiskey Island in Terrebonne Parish, Louisiana, using material dredged from Ship Shoal. For more information on this restoration project, see the project page on Louisiana Coastal Protection and Restoration Authority’s (CPRA) Coastal Information Management System (https://cims.coastal.la.gov/outreach/projects/ProjectView?projID=TE-0100). The time period for these maps spans before, during, and after the restoration project. Maps were produced using a random forest model that classified cover types (that is, bare, herbaceous vegetation, woody vegetation, and water) based on spectral indices from Sentinel-2 and Landsat 8 imagery. These products complement habitat maps that were developed from orthoimagery and elevation data using a detailed 15-class habitat scheme developed by the CPRA’s Barrier Island Comprehensive Monitoring (BICM) Program. The BICM Program uses both historical data and contemporary data collections to assess and monitor changes to barrier islands. Habitat map products are one type of BICM dataset. For more information about the BICM Program, see Kindinger and others (2013); for more information about recent BICM habitat mapping, see Enwright and others (2020). These habitat maps were utilized with ecological data in an analysis of avian habitat occupancy and use/function for several focal species pre- and post-restoration activity. The results of this analysis will help land managers evaluate how restoration and subsequent natural ecological processes impact bird species of conservation concern, and target restoration activities that enhance island sustainability and preserve avian habitat availability.

  10. d

    Digital Orthoimagery for Mapping the Natchez Trace Parkway 2004

    • search.dataone.org
    Updated Dec 1, 2016
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    Gulf Coast Aerial Mapping Co., Inc. (2016). Digital Orthoimagery for Mapping the Natchez Trace Parkway 2004 [Dataset]. https://search.dataone.org/view/f4a87c7f-90f5-4060-9167-b0dd797a6d95
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    Dataset updated
    Dec 1, 2016
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Gulf Coast Aerial Mapping Co., Inc.
    Area covered
    Description

    This dataset represents aerial photography of the Natchez Trace Parkway that was taken in late September and early October of 2004. Images were acquired during leaf-on conditions as required by the National Park Service (NPS) to accomplish their ground-based vegetation classification. Nearly 400 aerial photography frames were scanned and orthorectified to generate digital orthophoto quarter quads (DOQQs). These were cut to match existing DOQQs creating a total of 235 DOQQs for the entire 715 km long Parkway. For ease of use, the DOQQs were grouped into 11 mosaics, each covering a section of the Parkway. At the request of the NPS, each mosaic was divided into ten tiles to allow for efficient loading on less robust computers.

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    Learn how you can add new datasets to our index.

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Stephen Hartley; William Jones (2024). Drone aerial image collection to produce ortho-imagery and digital terrain models for two sites in coastal Louisiana [Dataset]. http://doi.org/10.5066/P1OHGKWF

Drone aerial image collection to produce ortho-imagery and digital terrain models for two sites in coastal Louisiana

Explore at:
Dataset updated
Aug 27, 2024
Dataset provided by
United States Geological Surveyhttp://www.usgs.gov/
Authors
Stephen Hartley; William Jones
License

U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically

Time period covered
Mar 19, 2024 - Mar 25, 2024
Area covered
Louisiana
Description

South Louisiana's continued land-loss due to erosion and subsidence is a constant process and demands attention thru restoration and mitigation efforts. Data is needed to determine elevation and vegetation related to subsidence, climate change and saltwater intrusion. This information is critical to our partners for continued monitoring of marsh in degrading landscape. Weather from subsidence ,erosion or other factors, changing sediments is having detrimental effects on the marsh landscape. Providing imagery and digital surface models will help researchers correlate other datasets to determine factors contributing to marsh changes.

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