{"accessLevel": "public", "bureauCode": ["010:12"], "contactPoint": {"@type": "vcard:Contact", "fn": "Amina Rangoonwala", "hasEmail": "mailto:rangoonwalaa@usgs.gov"}, "description": "These are  two land cover datasets derived from Landsat Thematic Mapper and Operational Land Imager (spatial resolution 30-m)Path 014 and Rows 032 and 033 surface reflectance data collected on July 14, 2011 and July 19, 2013, before and after Hurricane Sandy made landfall near Brigantine, New Jersey on October 29, 2012.  The two land cover data sets provide a means of evaluating the effect of Hurricane Sandy of data sets collected at times that represent or approach peak vegetation growth.  The most accurate results of the land cover classification are based on twelve classes, some of which occur adjacent to the marshes but not on the New Jersey intracoastal marshes. Twelve classes were used in the supervised maximum likelihood classification of the intracoastal marshes, three classes (forested wetlands, unconsolidated beach sediment and urban development areas) which occur only adjacent to the marshes, were masked out on the land cover maps. The twelve classes are based on the National Oceanic and Atmospheric Administration Coastal Change Analysis Program (C-CAP) and the New Jersey Department of Environmental Protection 2007 Land Use/Land Cover Data Set classes that could be identified on the Landsat TM surface reflectance bands 3-5 and Landsat OLI surface reflectance bands 4-6, and field work in 2014 and 2015. There is considerable confusion between classes due to the variation in the species and density of cover of vegetation, variation in the composition and density of the vegetation, variation in the composition and amount of the marsh substrate detected by the sensor, and the variation in tidal stage which strongly influences the surface reflectance of the pixel (Kearney et al. 2009). However, the identification of high marsh appears to be accurate based on field work validation. The high marsh contains one-to-three-meter-wide areas of low marsh that border the bays and lagoons and tidal creeks in the marshes, but that are too small to resolve with the Landsat sensors. \nKearney, M.S., Stutzer, D.S., Turpie, K., and Stevenson, J.C. (2009) Spectral properties of marsh vegetation under inundation. Journal of Coastal Research 25: 1177-1186.", "distribution": [{"@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5066/F7D50K4W", "description": "Landing page for access to the data", "format": "XML", "mediaType": "application/http", "title": "Digital Data"}, {"@type": "dcat:Distribution", "description": "The metadata original format", "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.5820a31de4b080404e6fa9a3.xml", "format": "XML", "mediaType": "text/xml", "title": "Original Metadata"}], "identifier": "http://datainventory.doi.gov/id/dataset/USGS_5820a31de4b080404e6fa9a3", "keyword": ["Great Egg Harbor Bay", "Remotely Sensed Imagery", "Sandy Hook", "USGS:5820a31de4b080404e6fa9a3", "Normalized Difference Soil Index", "United States", "imageryBaseMapsEarthCover", "Land Cover Analysis", "Landsat Thematic Mapper", "Environmental restoration", "Atlantic County", "Great Egg Harbor River Estuary", "Mullica River Estuary", "Ocean County", "New Jersey Intracoastal Marshes", "Surface Reflectance Data", "Normalized Difference Water Index", "Coastal Zone", "enrivonment", "Mid-Atlantic Coast", "Normalized Difference Vegetation Index", "Monmouth County", "Time-Series Analysis", "Great Bay", "Marsh Surface Condition Maps", "geoscientificInformation", "New Jersey", "Cape May County", "Barnegat Bay", "Landsat Operational Land Imager"], "modified": "2020-08-30T00:00:00Z", "publisher": {"@type": "org:Organization", "name": "U.S. Geological Survey"}, "spatial": "-74.949879389, 38.91413507, -73.954089792, 40.489360388", "theme": ["geospatial"], "title": "Land cover classification dataset"}