Filters: partyWithName: U.S. Geological Survey - ScienceBase (X) > partyWithName: Amina Rangoonwala (X)
Folders: ROOT > ScienceBase Catalog > USGS Wetland and Aquatic Research Center ( Show all descendants )
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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...
This study combined a radar-based time series of Hurricane Sandy surge and estimated persistence with optical sensor-based marsh condition change to assess potential causal linkages of surge persistence and marsh condition change along the New Jersey Atlantic Ocean coast. Results based on processed TerraSAR-X and COSMO-SkyMed synthetic aperture radar (SAR) images indicated that surge flooding persisted for 12 h past landfall in marshes from Great Bay to Great Egg Harbor Bay and up to 59 h after landfall in many back-barrier lagoon marshes. Marsh condition change (i.e. loss of green marsh vegetation) was assessed from optical satellite images (Satellite Pour l’Observation de la Terre and Moderate Resolution Imaging...
Types: Citation;
Tags: Hurricane Sandy,
New Jersey,
USGS Science Data Catalog (SDC),
coincidence,
marsh condition,
Phragmites australis live fractional cover (LFC) maps were created of the lower Mississippi River Delta (MRD) using satellite image data. The historical 2009 to 2016 P. australis marsh LFC maps were based on yearly Landsat image data. The 2016 to 2019 P. australis marsh LFC maps were based on yearly Sentinel-2 image data.
Categories: Data;
Tags: Mississippi River Delta,
Remote Sensing,
USGS Science Data Catalog (SDC),
biota,
invasive plant mapping,
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