Using Multitemporal Remote Sensing Imagery and Inundation Measures to Improve Land Change Estimates in Coastal Wetlands |
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Authors: | Yvonne C Allen Brady R Couvillion John A Barras |
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Institution: | (1) US Army Engineer Research and Development Center, Environmental Laboratory, Environmental Systems Branch, 3909 Halls Ferry Rd., Vicksburg, MS, USA;(2) US Geological Survey, National Wetlands Research Center, 700 Cajundome Blvd., Lafayette, LA, USA |
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Abstract: | Remote sensing imagery can be an invaluable resource to quantify land change in coastal wetlands. Obtaining an accurate measure
of land change can, however, be complicated by differences in fluvial and tidal inundation experienced when the imagery is
captured. This study classified Landsat imagery from two wetland areas in coastal Louisiana from 1983 to 2010 into categories
of land and water. Tide height, river level, and date were used as independent variables in a multiple regression model to
predict land area in the Wax Lake Delta (WLD) and compare those estimates with an adjacent marsh area lacking direct fluvial
inputs. Coefficients of determination from regressions using both measures of water level along with date as predictor variables
of land extent in the WLD, were higher than those obtained using the current methodology which only uses date to predict land
change. Land change trend estimates were also improved when the data were divided by time period. Water level corrected land
gain in the WLD from 1983 to 2010 was 1 km2 year−1, while rates in the adjacent marsh remained roughly constant. This approach of isolating environmental variability due to
changing water levels improves estimates of actual land change in a dynamic system, so that other processes that may control
delta development such as hurricanes, floods, and sediment delivery, may be further investigated. |
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