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Title: Application of geoprocessing and simulation modeling to estimate impacts of sea level rise on the northeast coast of Florida

Journal Article · · Photogrammetric Engineering and Remote Sensing; (United States)
OSTI ID:6998564
; ;  [1]
  1. Indiana Univ., Bloomington (United States) Indiana State Univ., Terre Haute (United States)

Simulation modeling was applied to predict the response of northeast Florida coastal wetlands to future sea level rise due to global warming. Remote sensing and geographic information systems (GIS) were used to develop, manipulate, and synthesize model input including land cover, digital elevation data, and site characteristics data. The SLAMM3 model evaluated the input data to predict responses of coastal wetlands and lowlands to inundation and erosion by sea level rise, and determined transfers from one habitat to another on a cell-by-cell basis. Significant changes were predicted from different scenarios of sea level rise: 0.5 m, 1.0 m, and 1.25 m. The simulations indicated that 31.9 percent and 40.0 percent of wetlands within the study area would be lost with a 1.0 m and 1.25 m sea level rise, respectively, while 6.5 percent would be lost with 0.5 m rise. 45 refs.

OSTI ID:
6998564
Journal Information:
Photogrammetric Engineering and Remote Sensing; (United States), Vol. 58:11; ISSN 0099-1112
Country of Publication:
United States
Language:
English