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