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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 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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Low-altitude (70 m above ground level) aerial images were collected over five areas of interest within the northern portion of Assateague Island National Seashore (ASIS) in mid-October, 2022. These images were collected to generate photogrammetric products (e.g. digital surface model (DSM), reflectance orthomosaic) to support science and data needs of National Park managers attempting to locate invasive Phragmites australis expansion. A DJI Matrice 600 uncrewed aircraft system (UAS) was equipped with a MicaSense Altum-PT multispectral camera and a Ricoh GRII true-color RGB camera to collect images simultaneously with sufficient overlap for photogrammetric processing. Ground control points (GCPs), black and white...
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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 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 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 goal of this project is to provide a preliminary overview, at a National scale, the relative susceptibility of the Nation's coast to sea- level rise through the use of a coastal vulnerability index (CVI). This initial classification is based upon the variables geomorphology, regional coastal slope, tide range, wave height, relative sea-level rise and shoreline erosion and accretion rates. The combination of these variables and the association of these variables to each other furnish a broad overview of regions where physical changes are likely to occur due to sea-level rise.
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The beaches of the Hawaiian Islands attract nearly 9 million visitors each year, who inject around $15.6 billion into the state’s economy and support almost 200,000 jobs. Beyond their economic importance, Hawaiian beaches are also culturally and ecologically valuable. However, climate change driven sea-level rise is causing many beaches to disappear, endangering property, infrastructure, and critical habitats. The goal of this project was to develop a method for forecasting erosion-vulnerable beach areas that could be used in coastal management planning. Researchers focused on the island of Kauaʻi, modeling beach response to rising sea level over the next century and producing maps that provide information about...
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There are 6 datasets total that together represent sediment placement in the North and Mid-Atlantic: Proposed Sediment Placement (points, lines, and polygons) and Sediment Placement (points, lines, and polygons).These data are part of a broader project: Inventory of Habitat Modifications to Sandy Oceanfront Beaches in the U.S. Atlantic Coast Breeding Range of the Piping Plover (Charadrius melodus) as of 2015: Maine to North Carolina. An estimate of the length of sandy oceanfront beaches that have received or continue to receive sediment placement from Maine through North Carolina was compiled. Only ocean-facing shorelines or those directly exposed to Long Island Sound or the Peconic Estuary were included in this...
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This dataset represents public and non-governmental organizations (NGO) beaches in the North and Mid-Atlantic. The data are part of a larger project, Inventory of Habitat Modifications to Sandy Oceanfront Beaches in the U.S. Atlantic Coast Breeding Range of the Piping Plover (Charadrius melodus) as of 2015: Maine to North Carolina. Beachfront land parcels in public or NGO ownership were delineated from a variety of sources, including county or municipal parcel data available online to the public (see Table 1 of Rice 2015b for a full list of sources consulted for Maine to New York). Public and NGO-owned beachfront parcels are delineated with narrow, lime green lines in Google Earth Pro. The public / NGO line segments...
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The goal of this project is to provide a preliminary overview, at a National scale, the relative susceptibility of the Nation's coast to sea- level rise through the use of a coastal vulnerability index (CVI). This initial classification is based upon the variables geomorphology, regional coastal slope, tide range, wave height, relative sea-level rise and shoreline erosion and accretion rates. The combination of these variables and the association of these variables to each other furnish a broad overview of regions where physical changes are likely to occur due to sea-level rise. Digital Data Series - 68
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Geophysical and geological survey data were collected off Town Neck Beach in Sandwich, Massachusetts, in May and July 2016. Approximately 130 linear kilometers of subbottom (seismic-reflection) and 234-kilohertz interferometric sonar (bathymetric and backscatter) data were collected along with sediment samples, sea floor photographs, and (or) video at 26 sites within the geophysical survey area. Sediment grab samples were collected at 19 of the 26 sampling sites and video and (or) photographic imagery of the sea floor were taken at all 26 sites. These survey data are used to characterize the sea floor by identifying sediment-texture, seabed morphology, and underlying geologic structure and stratigraphy. Data collected...
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Unaltered Beach This layer is an outdated version of one of the South Atlantic LCC indicators in the beach and dune ecosystem. It is an index of altered beaches capturing impacts from hardened structures like jetties, groins, and infrastructure. This indicator was updated in Blueprint 2.2 to incorporate more recent data from the Coastal Barrier Resources System, which is used to set the boundaries of undeveloped beaches. The updated indicator was also extended to new areas of the beach and dune ecosystem map. Reason for Selection Altered beaches (including human developments along shorelines, jetties, groins, seawalls, revetments, and other structures) provide a measure of overall habitat alteration. Human infrastructure...
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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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Vegetation and elevation survey data were collected in 4-square-meter quadrats via Real-Time Kinematic GPS from September 9, 2018 to April 17, 2019 on Dauphin Island, AL. Vegetation data included total percent herbaceous cover, percent cover by plant species, and mean height of vegetation within the quadrat. The percent cover by species was used to determine the dominant species for the plot.
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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...


map background search result map search result map Forecasting Beach Loss from Sea-Level Rise on the Island of Kauaʻi Coastal Vulnerability Wave Height Data for the Gulf of Mexico OUTDATED Indicator V 2.0: Beach and Dune: Unaltered Beach FSA 10:1 NAIP Imagery m_3709233_ne_15_1_20140712_20141020 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3709233_se_15_1_20140712_20141020 3.75 x 3.75 minute JPEG2000 from The National Map USGS 1:24000-scale Quadrangle for Beach, GA 1971 USGS 1:24000-scale Quadrangle for Beach, VA 1943 USGS 1:24000-scale Quadrangle for Beach, VA 1994 Riverine Sand Mining/Scofield Island Restoration (BA-40): 2014 habitat classification (ver. 1.1, August 2021) Sediment Placement, 2012-2015, North and Mid-Atlantic U.S. Louisiana Barrier Island Comprehensive Monitoring Program – 2016 habitat map, Late Lafourche Delta Region (ver. 1.1, May 2020) Public and NGO Beaches, 2015, North and Mid-Atlantic U.S. Backscatter imagery collected in 2016 by the U.S. Geological Survey off Town Neck Beach Sandwich, Massachusetts during field activity 2016-017-FA (GeoTIFF image) Louisiana Barrier Island Comprehensive Monitoring Program – 2015 habitat map, West Chenier Region (ver. 1.1, May 2020) Louisiana Barrier Island Comprehensive Monitoring Program – 2008-2016 habitat change, Modern Delta Region Louisiana Barrier Island Comprehensive Monitoring Program – 2008 habitat map, East Chenier Region (ver. 1.1, May 2020) Barrier island vegetation and elevation survey, Dauphin Island, AL, 2018–19 Pass Chaland to Grand Bayou Pass Barrier Shoreline Restoration (BA-35): 2016 habitat classification Multispectral aerial imagery collected during uncrewed aircraft systems (UAS) operations: Assateague Island National Seashore (ASIS), MD, October 10 - 14, 2022 Riverine Sand Mining/Scofield Island Restoration (BA-40): 2014 habitat classification (ver. 1.1, August 2021) Barrier island vegetation and elevation survey, Dauphin Island, AL, 2018–19 Pass Chaland to Grand Bayou Pass Barrier Shoreline Restoration (BA-35): 2016 habitat classification Backscatter imagery collected in 2016 by the U.S. Geological Survey off Town Neck Beach Sandwich, Massachusetts during field activity 2016-017-FA (GeoTIFF image) Multispectral aerial imagery collected during uncrewed aircraft systems (UAS) operations: Assateague Island National Seashore (ASIS), MD, October 10 - 14, 2022 FSA 10:1 NAIP Imagery m_3709233_ne_15_1_20140712_20141020 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3709233_se_15_1_20140712_20141020 3.75 x 3.75 minute JPEG2000 from The National Map USGS 1:24000-scale Quadrangle for Beach, GA 1971 USGS 1:24000-scale Quadrangle for Beach, VA 1943 USGS 1:24000-scale Quadrangle for Beach, VA 1994 Forecasting Beach Loss from Sea-Level Rise on the Island of Kauaʻi Louisiana Barrier Island Comprehensive Monitoring Program – 2008 habitat map, East Chenier Region (ver. 1.1, May 2020) Louisiana Barrier Island Comprehensive Monitoring Program – 2016 habitat map, Late Lafourche Delta Region (ver. 1.1, May 2020) Sediment Placement, 2012-2015, North and Mid-Atlantic U.S. Public and NGO Beaches, 2015, North and Mid-Atlantic U.S. Wave Height Data for the Gulf of Mexico OUTDATED Indicator V 2.0: Beach and Dune: Unaltered Beach Coastal Vulnerability