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Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Raster,
Shapefile;
Tags: Atlantic Ocean,
Barrier Island,
Bayesian Network,
CMHRP,
Cape Cod, All tags...
Cape Cod National Seashore,
Cape Cod National Seashore,
Coast Guard Beach,
Coast Guard Beach,
Coastal Erosion,
Coastal Habitat,
Coastal Hazards,
Coastal and Marine Hazards and Resources Program,
Coastal processes,
Erosion,
GIS,
Geographic Information Systems,
MA,
MHW,
Massachusetts,
Mean High Water,
North America,
Probability,
Sea Level Rise,
Sea-level change,
Shoreline Change,
St. Petersburg Coastal and Marine Science Center,
U.S. Geological Survey,
USA,
USGS,
United States,
Woods Hole Coastal and Marine Science Center,
coastal processes,
environment,
erosion,
geographic information systems,
geomorphology,
geoscientificInformation,
geospatial analysis,
geospatial datasets,
hazards,
hazards,
land use and land cover,
sea-level change,
transect sampling, Fewer tags
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