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Filters: partyWithName: Nicholas M Enwright (X) > Types: Map Service (X) > partyWithName: Wetland and Aquatic Research Center (X)

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The Barrier Island Comprehensive Monitoring (BICM) program was developed by Louisiana’s Coastal Protection and Restoration Authority (CPRA) and is implemented as a component of the System Wide Assessment and Monitoring Program (SWAMP). The program uses both historical data and contemporary data collections to assess and monitor changes in the aerial and subaqueous extent of islands, habitat types, sediment texture and geotechnical properties, environmental processes, and vegetation composition. Examples of BICM datasets include still and video aerial photography for documenting shoreline changes, shoreline positions, habitat mapping, land change analyses, light detection and ranging (lidar) surveys for topographic...
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The Barrier Island Comprehensive Monitoring (BICM) program was developed by Louisiana’s Coastal Protection and Restoration Authority (CPRA) and is implemented as a component of the System Wide Assessment and Monitoring (SWAMP) program. The program uses both historical data and contemporary data collections to assess and monitor changes in the aerial and subaqueous extent of islands, habitat types, sediment texture and geotechnical properties, environmental processes, and vegetation composition. Examples of BICM datasets include still and video aerial photography for documenting shoreline changes, shoreline positions, habitat mapping, land change analyses, light detection and ranging (lidar) surveys for topographic...
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The Bureau of Ocean Energy Management (BOEM) researchers often require detailed information regarding emergent marsh vegetation types (i.e., fresh, intermediate, brackish, and saline) for modeling habitat capacities and mitigation. In response, the U.S. Geological Survey, in collaboration with the Bureau of Ocean Energy Management produced a detailed change classification of emergent marsh vegetation types in coastal Louisiana from 2007 and 2013. This study incorporates decision-tree analyses to classify emergent marsh vegetation types using two existing vegetation surveys and independent variables such as Landsat and high-resolution airborne imagery from 2007 and 2013, bare-earth digital elevation models based...
This data release is currently being revised, and is currently unavailable. This data set includes mosaicked aerial photographs for the Riverine Sand Mining/Scofield Island Restoration (BA-40) project for 2014. This data is used as a basemap habitat classification. If repeated, it can also serve as a visual tool for project managers to help them identify any obvious problems or land loss within their project boundary. To better evaluate the effectiveness of restoration efforts, a habitat classification was performed on specific projects to help assess landscape changes.
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Global climate change is leading to large-scale shifts in species’ range limits. For example, rising winter temperatures are shifting the abundance and distributions of tropical, cold sensitive plant species towards higher latitudes. Coastal wetlands provide a prime example of such shifts, with tropical mangrove forests expanding into temperate salt marshes as winter warming alleviates past geographic limits set by cold intolerance. These rapid changes are dynamic and challenging to monitor, and uncertainty remains regarding the extent of mangrove expansion near poleward range limits. Here, we synthesized existing datasets and expert knowledge to assess the current (i.e., 2021) distribution of mangroves near dynamic...
This data release contains land cover-derived statistics regarding estuarine vegetated wetland area change within estuary drainage areas along the conterminous U.S. This dataset includes net change in estuarine vegetated wetland area based on National Oceanic and Atmospheric Administration's (NOAA) Coastal Change Assessment Program (C-CAP) 1996 and 2016 land cover data. Net change was assessed between estuarine vegetated wetlands (i.e., estuarine marshes, mangroves, non-mangrove estuarine woody wetlands, and salt pannes, depending on vegetation coverage and type) and the following other landcover classes: 1) water; 2) unconsolidated shore; 3) freshwater woody wetlands; 4) freshwater marsh; 5) upland; and 6) agriculture....
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...
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The Barrier Island Comprehensive Monitoring (BICM) program was developed by Louisiana’s Coastal Protection and Restoration Authority (CPRA) and is implemented as a component of the System Wide Assessment and Monitoring (SWAMP) program. The program uses both historical data and contemporary data collections to assess and monitor changes in the aerial and subaqueous extent of islands, habitat types, sediment texture and geotechnical properties, environmental processes, and vegetation composition. Examples of BICM datasets include still and video aerial photography for documenting shoreline changes, shoreline positions, habitat mapping, land change analyses, light detection and ranging (lidar) surveys for topographic...
This product depicts the spatial coverage of seagrass beds from 0.5-m color-infrared orthoimagery for Cat Island and Ship Island, Mississippi from early fall of 2011. Specifically, the map includes presence and absence of seagrass beds within a potential seagrass extent that was based on topobathymetric data. A minimum mapping unit of 4 square meters was used for this mapping effort.
This product depicts the spatial coverage of seagrass beds from 0.5-m color-infrared orthoimagery for Cat Island and Ship Island, Mississippi from early fall of 2014. Specifically, the map includes presence and absence of seagrass beds within a potential seagrass extent that was based on topobathymetric data. A minimum mapping unit of 4 square meters was used for this mapping effort.
This data release provides greenness for the dune crest and nearby backslope of the dune estimated from cloud-free 30-m satellite imagery during the hurricane seasons for 2008 and 2009 for East and West Ship Island, Mississippi. These data also include dune crest elevation from September 2008 produced by the U.S. Geological Survey (https://doi.org/10.5066/F7GF0S0Z).


    map background search result map search result map Delineation of marsh types and marsh type-change in Coastal Louisiana for 2007 and 2013 Riverine Sand Mining/Scofield Island Restoration (BA-40): 2014 habitat classification (ver. 1.1, August 2021) Shell Island East Barrier Island Restoration (BA-0110): 2016 habitat classification Pass Chaland to Grand Bayou Pass Barrier Shoreline Restoration (BA-35): 2016 habitat classification Mangrove distribution in the southeastern United States in 2021 Seagrass map, Cat Island and Ship Island, Mississippi, 2011 Seagrass map, Cat Island and Ship Island, Mississippi, 2014 Vegetation greenness observations by dune crest elevation, East and West Ship Island, Mississippi 2008-2009 Shell Island East Barrier Island Restoration (BA-0110): 2016 habitat classification Seagrass map, Cat Island and Ship Island, Mississippi, 2014 Seagrass map, Cat Island and Ship Island, Mississippi, 2011 Delineation of marsh types and marsh type-change in Coastal Louisiana for 2007 and 2013 Mangrove distribution in the southeastern United States in 2021