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Marsh surface condition index dataset


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Rangoonwala, Amina, Riter, J.C.A., Kearney, M.S., and Ramsey, E.W., III, 2017, 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: U.S. Geological Survey data release,


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 impacted (characterized [...]


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The purpose of this research was to evaluate the effect of Hurricane Sandy, October 29, 2012, on the New Jersey intracoastal marshes. The variation in marsh surface condition between 2000 and 2015 based on MSCI data derived from sixteen Landsat TM and OLI(Path 014 and Rows 32 and 33) surface reflectance data sets for the purposes of identifying, monitoring, and restoring marshes at risk from sea level rise and storm damage.

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