InSAR-Based Mapping of Tidal Inundation Extent and Amplitude in Louisiana Coastal Wetlands

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InSAR-Based Mapping of Tidal Inundation Extent and Amplitude in Louisiana Coastal Wetlands

The Louisiana coast is among the most productive coastal areas in the US and home to the largest coastal wetland area in the nation. However, Louisiana coastal wetlands have been disappearing at an alarming rate due to natural and anthropogenic processes, including sea level rise, land subsidence and infrastructure development. Wetland loss occurs mainly along the tidal zone, which varies in wi...

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Incorporating DEM Uncertainty in Coastal Inundation Mapping

Coastal managers require reliable spatial data on the extent and timing of potential coastal inundation, particularly in a changing climate. Most sea level rise (SLR) vulnerability assessments are undertaken using the easily implemented bathtub approach, where areas adjacent to the sea and below a given elevation are mapped using a deterministic line dividing potentially inundated from dry area...

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Potential of Terrasar-x Imagery for Mapping Intertidal Coastal Wetlands

This work presents preliminary results about the use of TerraSAR-X imagery for mapping intertidal habitats (oyster parks, seagrass meadows of Zostera noltii, sediments) along coastal lagoons (Arcachon lagoon, France). The combination of SAR and optical data appears to be useful to improve the discrimination of the various sediment and vegetation covers into classification schemes. Unlike optica...

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Integrated analysis of PALSAR/Radarsat-1 InSAR and ENVISAT altimeter data for mapping of absolute water level changes in Louisiana wetlands

a Division of Geodetic Science, School of Earth Sciences, The Ohio State University, Columbus OH, USA b U.S. Geological Survey, Vancouver WA, USA c U.S. Geological Survey, Louisiana Water Science Center, Baton Rouge LA, USA d U.S. Geological Survey, National Wetlands Research Center, Lafayette LA, USA e Department of Civil Engineering and Environmental Sciences, Korea Military Academy, Seoul, S...

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ژورنال

عنوان ژورنال: Remote Sensing

سال: 2016

ISSN: 2072-4292

DOI: 10.3390/rs8050393