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This set of sixteen Landsat Thematic Mapper (TM)and Operational Land Imager (OLI)(Path 014 and Rows 032 and 033) surface reflectance data sets were collected between 2000 and 2015. This data presents a time-series analysis that uses linear spectral unmixing of composite Normalized Difference Vegetation Index, Normalized Difference Water Index, and Normalized Difference Soil Index data, to estimate the percentages of marsh vegetation, water, and exposed marsh substrate on the New Jersey intracoastal marshes. We used the composition of the marshes in terms of the percentage of marsh vegetation, water, and marsh substrate to produce Marsh Surface Condition Index (MSCI) maps consisting of three classes of marshes: severely...
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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...
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This USGS Data Release represents geospatial data sets that were created for the analysis of the effect of Hurricane Sandy on New Jersey Atlantic Coastal Marshes. The following listed image products were generated: 1) Fifteen marsh surface condition index (MSCI) data sets were calculated from yearly summer collections of ETM+ image data from 2000 to 2015. Three classes described the results of the MSCI mapping; classs1-severely impacted, class 2-moderately impacted, and class 3-intact marsh. 2) Marsh change data product using Landsat images of July 14, 2011 (before) and July 19, 2013 (after) Hurricane Sandy is based on the difference in the percentage of vegetation. It shows a pattern of an increasing loss of marsh...
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The change detection data is the classified difference in the percentage of vegetation on the July 14, 2011 Landsat Thematic Mapper(TM) data set collected before Hurricane Sandy and the July 19, 2013 Landsat Operational Land Imager (OLI)data set collected after Hurricane Sandy. Hurricane Sandy made landfall near Brigandine, New Jersey on October 29, 2012. The actual difference in the percentage of vegetation is used in the calculation, not the three-class classification that is the basis of the Marsh Surface Condition Index data. The eleven classes consist of five classes (5-20%,>20%-40%,>40%-60%,>60%-80%,>80%)with decreases in the percentage of vegetation cover after Hurricane Sandy, Three classes (5-20%,>20%-40%,>40%-60%)with...
These data represent surface elevation change (or "Vertical Land Motion of the Wetland": VLMw) and vertical accretion time series collected from a series of created tidal wetland sites in the Tampa Bay watershed, Florida, USA. VLMw was measured using a combination of rod Surface Elevation Tables (RSETs), shallow root-zone SETs, and feldspar marker horizons. Sites were created and planted with saltmarsh vegetation originally, but mangroves naturally colonized the sites over time. These data represent a five year record, and were initiated on 9 sites that spanned an age gradient of 2.4 - 20.2 years at the time of first measurement, but which became 7.3 - 25.1 years by the time of the last measurement included in this...
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These data were collected from a small (14 ha), created salt marsh in Carteret County, North Carolina (34.82 deg. N; 76.61 deg. W). This site was created in 2007 following an engineering plan developed by Dr. Michael Burchell (NC-State University). This data collection was to support the development of a site-specific carbon budget. Data were collected from 2011 to 2013, or approximately 4-6 years post-creation. The data collection specifically funded by the U.S. Geological Survey includes plant carbon biomass, plant above ground biomass, plant below ground biomass, plant decomposition, and soil greenhouse gas fluxes, and these data are being made available. These data represent critical components of the carbon...
    map background search result map search result map Analysis of the effect of Hurricane Sandy on New Jersey Atlantic coastal marshes based on landsat thematic mapper and operational land imager data: 2000-2015 Marsh surface condition index dataset Marsh change dataset Land cover classification dataset Plant biomass, carbon content, decomposition, and soil greenhouse gas fluxes to support carbon budget development for a created salt marsh in eastern North Carolina, USA Plant biomass, carbon content, decomposition, and soil greenhouse gas fluxes to support carbon budget development for a created salt marsh in eastern North Carolina, USA Analysis of the effect of Hurricane Sandy on New Jersey Atlantic coastal marshes based on landsat thematic mapper and operational land imager data: 2000-2015 Marsh surface condition index dataset Marsh change dataset Land cover classification dataset