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This data set consists of digital data describing wetlands and uplands habitats for the Mississippi Coastal Improvements Program (MsCIP) area, consisting of Cat, Ship, Horn and Petit Bois Islands for the year 2020. Wetlands were classified using the Cowardin, et al., wetlands classification scheme to the level of freshwater and tidal, salinity modifiers. Uplands were classified using a customized classification scheme which can be cross-referenced to Anderson, et. al. For this dataset, upland dunes were delineated as areas at or above 1.524 meters (5 feet) as determined in the Lidar data that was referenced without modification for this classification. With this elevation criteria some delineated upland dune features...
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The Mississippi Coastal Improvements Program (MsCIP) has developed a Comprehensive Barrier Island Restoration Plan containing options to ensure the integrity of the Mississippi barrier islands through restoration efforts. Any restoration activities implemented must have minimal adverse impacts to critical habitat for various marine, terrestrial and avian resources. Documenting the success of restoration activities in meeting this requirement requires habitat monitoring. In recent communications with MsCIP personnel, the MsCIP lacks a remotely sensed component to its habitat monitoring plan. Additionally, MsCIP personnel have expressed a need for data pertaining to critical habitat utilized by species of interest...
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
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The analyses of landscape change presented in this dataset use Landsat Thematic Mapper (TM), Enhanced Thematic Mapper (ETM) and Operational Land Imager (OLI) to assess changes in land area through time. All cloud-free dates of imagery from 1984 through early 2016 were used in this analysis. This amounted to a total of 174 dates of imagery which were analyzed. No water level restrictions were used during the image selection process as gages with a period of record sufficient for this analysis are not available nearby. Persistent loss and gain data are presented for 1984-2016.
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Sandy ocean beaches in the United States are popular tourist and recreational destinations and constitute some of the most valuable real estate in the country. The boundary between land and water along the coastline is often the location of concentrated residential and commercial development and is frequently exposed to a range of natural hazards, which include flooding, storm effects, and coastal erosion. In response, the U.S. Geological Survey (USGS) is conducting a national assessment of coastal change hazards. One component of this research effort, the National Assessment of Shoreline Change Project, documents changes in shoreline position as a proxy for coastal change. Shoreline position is an easily understood...
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Sandy ocean beaches in the United States are popular tourist and recreational destinations and constitute some of the most valuable real estate in the country. The boundary between land and water along the coastline is often the location of concentrated residential and commercial development and is frequently exposed to a range of natural hazards, which include flooding, storm effects, and coastal erosion. In response, the U.S. Geological Survey (USGS) is conducting a national assessment of coastal change hazards. One component of this research effort, the National Assessment of Shoreline Change Project, documents changes in shoreline position as a proxy for coastal change. Shoreline position is an easily understood...
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Sandy ocean beaches in the United States are popular tourist and recreational destinations and constitute some of the most valuable real estate in the country. The boundary between land and water along the coastline is often the location of concentrated residential and commercial development and is frequently exposed to a range of natural hazards, which include flooding, storm effects, and coastal erosion. In response, the U.S. Geological Survey (USGS) is conducting a national assessment of coastal change hazards. One component of this research effort, the National Assessment of Shoreline Change Project, documents changes in shoreline position as a proxy for coastal change. Shoreline position is an easily understood...
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Sandy ocean beaches in the United States are popular tourist and recreational destinations and constitute some of the most valuable real estate in the country. The boundary between land and water along the coastline is often the location of concentrated residential and commercial development and is frequently exposed to a range of natural hazards, which include flooding, storm effects, and coastal erosion. In response, the U.S. Geological Survey (USGS) is conducting a national assessment of coastal change hazards. One component of this research effort, the National Assessment of Shoreline Change Project, documents changes in shoreline position as a proxy for coastal change. Shoreline position is an easily understood...
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Sandy ocean beaches in the United States are popular tourist and recreational destinations and constitute some of the most valuable real estate in the country. The boundary between land and water along the coastline is often the location of concentrated residential and commercial development and is frequently exposed to a range of natural hazards, which include flooding, storm effects, and coastal erosion. In response, the U.S. Geological Survey (USGS) is conducting a national assessment of coastal change hazards. One component of this research effort, the National Assessment of Shoreline Change Project, documents changes in shoreline position as a proxy for coastal change. Shoreline position is an easily understood...
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Sandy ocean beaches in the United States are popular tourist and recreational destinations and constitute some of the most valuable real estate in the country. The boundary between land and water along the coastline is often the location of concentrated residential and commercial development and is frequently exposed to a range of natural hazards, which include flooding, storm effects, and coastal erosion. In response, the U.S. Geological Survey (USGS) is conducting a national assessment of coastal change hazards. One component of this research effort, the National Assessment of Shoreline Change Project, documents changes in shoreline position as a proxy for coastal change. Shoreline position is an easily understood...
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
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 FSA 10:1 NAIP Imagery m_3008849_ne_16_1_20141004_20141118 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3008849_nw_16_1_20141004_20141118 3.75 x 3.75 minute JPEG2000 from The National Map Digital Shoreline Analysis System version 4.3 Transects with Short-Term Linear Regression Rate Calculations for Mississippi Offshore baseline for the Mississippi coastal region generated to calculate shoreline change rates Digital Shoreline Analysis System version 4.3 Transects with Long-Term Linear Regression Rate Calculations for Mississippi Shorelines of the Mississippi coastal region used in shoreline change analysis Uncertainty table for lidar-derived shorelines used when calculating rates in the Digital Shoreline Analysis System software for Mississippi Digital Shoreline Analysis System version 4.3 Transects with Short-Term End Point Rate Calculations for Mississippi Mississippi barrier island land area change 1984-2016 USGS 1:24000-scale Quadrangle for Ship Island, MS 1950 USGS 1:24000-scale Quadrangle for Ship Island, MS 1950 USGS 1:24000-scale Quadrangle for Ship Island, MS 1950 December 2018 National Wetlands Inventory Mississippi Barrier Islands habitat classification: (Cat Island, Ship Island, Petit Bois Island and Horn Island) February 2020 National Wetlands Inventory, Mississippi Barrier Islands Habitat Classification: (Cat Island, Ship Island, Petit Bois Island and Horn Island) Vegetation greenness observations by dune crest elevation, East and West Ship Island, Mississippi 2008-2009 Vegetation greenness observations by dune crest elevation, East and West Ship Island, Mississippi 2008-2009 FSA 10:1 NAIP Imagery m_3008849_ne_16_1_20141004_20141118 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3008849_nw_16_1_20141004_20141118 3.75 x 3.75 minute JPEG2000 from The National Map USGS 1:24000-scale Quadrangle for Ship Island, MS 1950 USGS 1:24000-scale Quadrangle for Ship Island, MS 1950 USGS 1:24000-scale Quadrangle for Ship Island, MS 1950 Digital Shoreline Analysis System version 4.3 Transects with Short-Term Linear Regression Rate Calculations for Mississippi Digital Shoreline Analysis System version 4.3 Transects with Short-Term End Point Rate Calculations for Mississippi Uncertainty table for lidar-derived shorelines used when calculating rates in the Digital Shoreline Analysis System software for Mississippi Digital Shoreline Analysis System version 4.3 Transects with Long-Term Linear Regression Rate Calculations for Mississippi Offshore baseline for the Mississippi coastal region generated to calculate shoreline change rates Shorelines of the Mississippi coastal region used in shoreline change analysis February 2020 National Wetlands Inventory, Mississippi Barrier Islands Habitat Classification: (Cat Island, Ship Island, Petit Bois Island and Horn Island) Mississippi barrier island land area change 1984-2016 December 2018 National Wetlands Inventory Mississippi Barrier Islands habitat classification: (Cat Island, Ship Island, Petit Bois Island and Horn Island)