This data release includes 2022 data for the Louisiana Outer Coast Restoration Project for Whiskey Island. Specifically, this data release includes a detailed habitat map, general habitat map, and georeferenced imagery. These habitat maps are developed using the methods and classification scheme from Louisiana Coastal Protection and Restoration Authority’s (CPRA) Barrier Island Comprehensive Monitoring (BICM) program. For more details on BICM habitat classes, see the Entity and Attribute Information section of the metadata. Please consult the accompanying readME.txt file for information and recommendations on the contents of this dataset (that is, dataset and recommended symbology). For more information about BICM habitat mapping, see Enwright and others (2020). Enwright, N.M., SooHoo, W.M., Dugas, J.L., Conzelmann, C.P., Laurenzano, C., Lee, D.M., Mouton, K., and Stelly, S.J., 2020, Louisiana Barrier Island Comprehensive Monitoring Program—Mapping habitats in beach, dune, and intertidal environments along the Louisiana Gulf of Mexico shoreline, 2008 and 2015–16: U.S. Geological Survey Open-File Report 2020–1030, 57 p., https://doi.org/10.3133/ofr20201030.

The dataset presented here represents a circa 1932 land/water delineation of coastal Louisiana used in part of a larger study to quantify landscape changes from 1932 to 2016. The original dataset was created by Dunbar, and Britsch, and Kemp (2006). The original dataset is citable as: Dunbar, J. B. and Britsch, L. D., 2006. Land Loss in Coastal Louisiana 1932-2001. Map 1. Engineer Research and Development Center, Vicksburg, MS, Technical Report, ERDC/GSL TR-05-13, Land Loss Map 1 through 7. The USGS Wetland and Aquatic Research Center altered the original data by improving the geo-rectification in specific areas known to contain geo-rectification error, most notably in coastal wetland areas in the vicinity of Four League Bay in western Terrebonne Basin. The dataset contains two categories, land and water. For the purposes of this effort, land includes areas characterized by emergent vegetation, upland, wetland forest, or scrub-shrub were classified as land, while open water, aquatic beds, and mudflats were classified as water. For additional information regarding this dataset (other than geo-rectification revisions), please contact the dataset originator, the U.S. Army Corps of Engineers (USACE).

This dataset corresponds to the annual total land change over coastal Louisiana, from 1988 to 2018. The data is derived from Lansat classification performed by NASA’s Delta-X project. Details on Delta-X can be found in https://deltax.jpl.nasa.gov

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Jensen, D. J., Cavanaugh, K. C., Thompson, D. R., Fagherazzi, S., Cortese, L., & Simard, M. (2022). Leveraging the Historical Landsat Catalog for a Remote Sensing Model of Wetland Accretion in Coastal Louisiana. Journal of Geophysical Research: Biogeosciences, 127(6). https://doi.org/10.1029/2022JG006794

Coastwide vegetation surveys have been conducted multiple times over the past 50 years (e.g., Chabreck and Linscombe 1968, 1978, 1988, 1997, 2001, and 2013) by the Louisiana Department of Wildlife and Fisheries (LDWF) in support of coastal management activities. The last survey was conducted in 2013 and was funded by the Louisiana Coastal Protection and Restoration Authority (CPRA) and the U.S. Geological Survey (USGS) as a part of the Coastal Wetlands Planning, Protection, and Restoration Act (CWPPRA) monitoring program. These surveys provide important data that have been utilized by federal, state, and local resource managers. The surveys provide information on the condition of Louisiana’s coastal marshes by mapping plant species composition and vegetation change through time. During the summer of 2021, the U.S. Geological Survey, Louisiana State University, and the Louisiana Department of Wildlife and Fisheries jointly completed a helicopter survey to collect data on 2021 vegetation types using the same field methodology at previously sampled data points. Plant species were identified and their abundance classified at each point. Based on species composition and abundance, each marsh sampling station was assigned a marsh type: fresh, intermediate, brackish, or saline marsh. The field point data were interpolated to classify marsh vegetation into polygons and map the distribution of vegetation types. We then used the 2021 polygons with additional remote sensing data to create the final raster dataset. We used the polygon marsh type zones (available in this data release), as well as National Land Cover Database (NLCD; https://www.usgs.gov/centers/eros/science/national-land-cover-database) and NOAA Coastal Change Analysis Program (CCAP; https://coast.noaa.gov/digitalcoast/data/ccapregional.html) datasets to create a composite raster dataset. The composite raster was created to provide more detail, particularly with regard to “Other”, “Swamp”, and “Water” categories, than is available in the polygon dataset. The overall boundary of the raster product was extended beyond past surveys to better inform swamp, water, and other boundaries across the coast. A majority of NLCD and CCAP classification during a 2010-2019 period was used, rather than creating a raster classification specific to 2021, as there was a desire to use published datasets. Users are cautioned that the raster dataset is generalized but more specific than the polygon dataset. This data release includes 3 datasets: the point field data collected by the helicopter survey team, the polygon data developed from the point data, and the raster data developed from the polygon data plus additional remote sensing data as described above.

This data release includes 2022 data for the Louisiana Outer Coast Restoration Project for Chenier Ronquille. Specifically, this data release includes a detailed habitat map, general habitat map, and georeferenced imagery. These habitat maps are developed using the methods and classification scheme from Louisiana Coastal Protection and Restoration Authority’s (CPRA) Barrier Island Comprehensive Monitoring (BICM) program. For more details on BICM habitat classes, see the Entity and Attribute Information section of the metadata. Please consult the accompanying readME.txt file for information and recommendations on the contents of this dataset (that is, dataset and recommended symbology). For more information about BICM habitat mapping, see Enwright and others (2020). Enwright, N.M., SooHoo, W.M., Dugas, J.L., Conzelmann, C.P., Laurenzano, C., Lee, D.M., Mouton, K., and Stelly, S.J., 2020, Louisiana Barrier Island Comprehensive Monitoring Program—Mapping habitats in beach, dune, and intertidal environments along the Louisiana Gulf of Mexico shoreline, 2008 and 2015–16: U.S. Geological Survey Open-File Report 2020–1030, 57 p., https://doi.org/10.3133/ofr20201030.

This is a component of the Story Map: In Harm’s Way: Hurricane Ida’s Impact on Socially Vulnerable Communities.Land loss data (1932-2010) was acquired from the U.S. Geological Survey, National Wetlands Research Center, Scientific Investigations Map 3164. Projected future land loss data comes from the Louisiana Coastal Protection and Restoration Authority (CPRA) from 2017 Coastal Master Plans land change (Medium Scenario, 50 Year Projection, Future Without Action).Unofficial 2021 Hurricane Ida observations and track lines were acquired from the NOAA National Hurricane Center.

The NOAA Coastal Change Analysis Program (C-CAP) produces national standardized land cover and change products for the coastal regions of the U.S. C-CAP products inventory coastal intertidal areas, wetlands, and adjacent uplands with the goal of monitoring changes in these habitats through time. The timeframe for this metadata is summer 2016. These maps are developed utilizing high resolution a...

This data release includes 2022 data for the Louisiana Outer Coast Restoration Project for North Breton Island. Specifically, this data release includes a detailed habitat map, general habitat map, georeferenced imagery, and a bare-earth digital elevation model (DEM) developed from light detection and ranging data. These habitat maps are developed using the methods and classification scheme from Louisiana Coastal Protection and Restoration Authority’s (CPRA) Barrier Island Comprehensive Monitoring (BICM) program. For more details on BICM habitat classes, see the Entity and Attribute Information section of the metadata. Please consult the accompanying readME.txt file for information and recommendations on the contents of this dataset (that is, dataset and recommended symbology). For more information about BICM habitat mapping, see Enwright and others (2020).

This data release includes 2022 data for the Louisiana Outer Coast Restoration Project for Shell Island. Specifically, this data release includes a detailed habitat map, general habitat map, and georeferenced imagery. These habitat maps are developed using the methods and classification scheme from Louisiana Coastal Protection and Restoration Authority’s (CPRA) Barrier Island Comprehensive Monitoring (BICM) program. For more details on BICM habitat classes, see the Entity and Attribute Information section of the metadata. Please consult the accompanying readME.txt file for information and recommendations on the contents of this dataset (that is, dataset and recommended symbology). For more information about BICM habitat mapping, see Enwright and others (2020). Enwright, N.M., SooHoo, W.M., Dugas, J.L., Conzelmann, C.P., Laurenzano, C., Lee, D.M., Mouton, K., and Stelly, S.J., 2020, Louisiana Barrier Island Comprehensive Monitoring Program—Mapping habitats in beach, dune, and intertidal environments along the Louisiana Gulf of Mexico shoreline, 2008 and 2015–16: U.S. Geological Survey Open-File Report 2020–1030, 57 p., https://doi.org/10.3133/ofr20201030.

Moss Distribution and Habitat dataset current as of 2001. To update the Louisiana Coastal Marsh Vegetative Type Map of 1997, 1988, 1978, 1968 and 1949..

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

Breton Island, Louisiana Baseline (Geographic, NAD83) consists of vector line data that were input into the Digital Shoreline Analysis System (DSAS) version 4.0, which is computer software used to compute rate of change statistics. A baseline was acquired from the Barrier Island Comprehensive Monitoring Program (BICM) 2009 report (http://lacoast.gov/reports/project/3890772~1.pdf). The baseline included in the BICM report covered the entire Louisiana coastline, so the baseline representing Breton Island had to be clipped then exported to a new shapefile named Breton_Baseline.shp. The position relative to Breton Island was determined to be the best possible baseline to use for the study. The baseline file was used to create the transect files, which are required by the DSAS program to calculate rate of change statistics.

This data release includes 2017 data for the Louisiana Outer Coast Restoration Project for Chenier Ronquille. Specifically, this data release includes a detailed habitat map, general habitat map, and georeferenced imagery. These habitat maps are developed using the methods and classification scheme from Louisiana Coastal Protection and Restoration Authority’s (CPRA) Barrier Island Comprehensive Monitoring (BICM) program. For more details on BICM habitat classes, see the Entity and Attribute Information section of the metadata. Please consult the accompanying readME.txt file for information and recommendations on the contents of this dataset (that is, dataset and recommended symbology). For more information about BICM habitat mapping, see Enwright and others (2020). Enwright, N.M., SooHoo, W.M., Dugas, J.L., Conzelmann, C.P., Laurenzano, C., Lee, D.M., Mouton, K., and Stelly, S.J., 2020, Louisiana Barrier Island Comprehensive Monitoring Program—Mapping habitats in beach, dune, and intertidal environments along the Louisiana Gulf of Mexico shoreline, 2008 and 2015–16: U.S. Geological Survey Open-File Report 2020–1030, 57 p., https://doi.org/10.3133/ofr20201030.

description: The dataset includes Land Use/Land Cover types throughout the Chenier Eco-Region in Southwest Louisiana. Using the 2015 NAIP dataset (1m) as the basemap, E-Cognition image objects were derived from the multiresolution segmentation algorithm at 75 and 250 segments. Attempts to refine the data training methods using E-cognition, to extrapolate automating categories of this information to the entire map resulted with exceedingly low accuracy. Therefore, a raster was produced by piecing together several data resources, which provide reliable data for specific LULC categories. This process involved stitching together more reliable sources for specific categories to apply to higher resolution (75) segmentation product. Reference datasets include; 12,000 aerial points assigned to image objects derived from 75 segmentation settings (previously used to develop scripts for data training), mask created from NWI 2008 including water, wetland forested, upland forested and scrub/shrub categories, BOEM marsh classes, NLCD urban areas, and CDL data. The raster produced from this process was applied to the vector image objects derived from the 250 segmentation settings, using a majority filter (greater than 50 percent). The series of draft shapefiles were manually edited and merged, resulting in the final dataset.; abstract: The dataset includes Land Use/Land Cover types throughout the Chenier Eco-Region in Southwest Louisiana. Using the 2015 NAIP dataset (1m) as the basemap, E-Cognition image objects were derived from the multiresolution segmentation algorithm at 75 and 250 segments. Attempts to refine the data training methods using E-cognition, to extrapolate automating categories of this information to the entire map resulted with exceedingly low accuracy. Therefore, a raster was produced by piecing together several data resources, which provide reliable data for specific LULC categories. This process involved stitching together more reliable sources for specific categories to apply to higher resolution (75) segmentation product. Reference datasets include; 12,000 aerial points assigned to image objects derived from 75 segmentation settings (previously used to develop scripts for data training), mask created from NWI 2008 including water, wetland forested, upland forested and scrub/shrub categories, BOEM marsh classes, NLCD urban areas, and CDL data. The raster produced from this process was applied to the vector image objects derived from the 250 segmentation settings, using a majority filter (greater than 50 percent). The series of draft shapefiles were manually edited and merged, resulting in the final dataset.

This package includes a detailed habitat map, general habitat map, and georeferenced imagery from 2012 for 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 through the direct placement of about 5.4 million cubic yards of sandy substrate from Ship Shoal. The habitat maps are part of a suite of Caminada Headland habitat maps for the years 2012, 2015, and 2017–19, which span the time period before, during, and after the restoration project was conducted. 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 habitat maps developed for this effort were utilized together wit ...

This is a polygon dataset representing the extent of the LDNR regulatory area defined as the Louisiana Coastal Zone. This area comprises a band across the southern border of the state and ranges in width from approximately 30 miles at the west edge of the state to over 150 miles at the eastern and Mississippi River Delta areas of the state. A project to digitize the Coastal Zone boundary from the 7.5' quad maps was undertaken in June of 1997. This project was not only the creation of a digital line marking the boundary from digital maps, but also a thorough research project into where the line is actually located based upon records from legislative acts, the Louisiana Coastal Resources Program Final Environmental Impact Statement, and other information gathered from the files of the Coastal Management Division, the State Land Office and maps from the Office of Minerals Resources. This dataset is a product of that project. The data set Point of Contact has a file with copies of literature and references cited in this report.

1950 Digitized Shoreline for Breton Island, Louisiana (Geographic, NAD83) consists of vector shoreline data that were derived from a set of National Ocean Service (NOS) raster shoreline maps (often called T-sheet or TP-sheet maps) created for Breton Island in 1950. In 2002, NOAA published digitized shorelines for T-sheet (T-9393), which were subsequently edited by USGS staff for input into the Digital Shoreline Analysis System (DSAS) Version 4.0, where area and shoreline change analyses could be conducted.

This data set contains vector lines representing the shoreline and coastal habitats of Louisiana classified according to the Environmental Sensitivity Index (ESI) classification system. This data set comprises a portion of the ESI for Louisiana. ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three...

These data provide an accurate high-resolution shoreline compiled from imagery of PORT OF SOUTH LOUISIANA, LA . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object At...

Percent dredged canal density and wetland loss in Louisiana https://doi.org/10.5061/dryad.sn02v6x9s The dose-response relationships between the percent dredged canals and percent land loss in Louisiana and Nigeria coastal zone were quantified using land and water data. Published data in 7.5' and 15' quadrangle maps for the Louisiana deltaic coastal zone from 1932 to 1990 are included in this data file as well as some unpublished data records. The %land loss relative to the baseline land area at the start of the interval was calculated. A direct relationship between dredged area and land to water conversion is demonstrated that accelerates over decades. ## Description of the data and file structure The data are in an excel spreadsheet accompanied by location maps for the Louisiana coast. The units for the area of land and water are 'acres' (the original reporting units). The percent land or percent canal in maps of different dates are in %. * Worksheet Baseline Numbering: The base map identification numbering is given that is common to all data sets from 7.5' and 15' quadrangle maps of the Louisiana coast. * Worksheet Britsch and Dunbar 1993: The data from these authors are for map in the early 1930s, 1958, 1974, 1983 and 1990. The worksheet includes the area of canal and land in 15' quadrangle maps, and the calculated % canal and land in each quadrangle map. The Quadrangle number is the base map number identified in the Worksheet 'Baseline Numbering' * Worksheet Scaife et al. 1983: These are data that Scaife et al. (1983) used to measure the relationship between % land loss from 1955 to 1978 and the canal density relative to that existing in 1958 in 7.5 minute quadrangle maps for St. Breton Sound, Barataria and Terrebonne Parishes. The Quadrangle number is the base map number identified in the Worksheet 'Baseline Numbering' * Worksheet Turner and Rao 1990: These are data that Turner and Rao (1980) developed when studying the relationship between pond size and distance from canals in Terrebonne and Barataria Parishes, but did not report in the journal article. Maps identified as 'near' or 'far' maps include a portion of the Mississippi River or not, respectively.The Quadrangle number is the base map number identified in the Worksheet 'Baseline Numbering' * Worksheet Bass and Turner 1997: These are data that Bass and Turner (1997) used to quantify the relationship between the % canal in 1990 of land in 1956 and the land loss from 1956 to 1990. Ninety nine percent of the land was wetland. The sites were in Terrebonne, Barataria and St. Bernard Parishes. The Site number refers to the number in the original paper by Bass and Turner (1997). ## Sharing/Access information This is a section for linking to other ways to access the data, and for linking to sources the data is derived from, if any. none Data was derived from the following sources: Bass, A. & Turner, R. E. Relationships between salt marsh loss and dredged canals in three south Louisiana estuaries. J. Coastal Res. 13, 895-903 (1997). Britsch, L. D. & Dunbar, J. B. Land loss rates: Louisiana coastal plain. J. Coastal Res. 9, 324–338 (1993). Scaife, W. W., Turner, R. E. & Costanza, R. Coastal Louisiana recent land loss and canal impacts. Environ. Managmt. 7, 433–442 (1983). Unpublished data acquired from the Corps of Engineers, New Orleans District, LA is merged with this data. Turner, R. E. & Rao, Y. W. Relationships between wetland fragmentation and recent hydrologic changes in a deltaic coast. Estuaries 13, 272-281 (1990). ## Code/Software no codes Excel software The direct effects of converting wetlands to open water by dredging can be magnified by indirect effects. For example, the dredged canal allows for recovery of mineral fluids 1000s of m belowground which may induce geological subsidence or faulting; dredged material deposited at the surface to form continuous levees may create hydrologic stressors on the wetland plants resulting in a conversion to open water habitat as a result of both soil waterlogging and drying, less organic matter and sediment accumulation, or greater erosion. We quantified indirect effects by demonstrating a robust dose-response relationship between coastal land loss and dredging canals in the Mississippi and Niger river deltas over 60 years. Importantly, the ratio of land loss to canal area increases with time – a legacy effect. We also found that flood protection levees on the main channel did not magnify the effect of dredging on wetland loss by inhibiting sediment flow into adjacent wetlands along its banks. Published and unpublished data are reported for digitized areas of land and canal for 15' and 7.5' maps in the Louisiana coastal zone. No transformations of the data were done.