Abstract
Remote sensing classifications of wetland ecosystems can be difficult because of temporal variability of plant cover and hydrological conditions. We developed a multitemporal classification scheme to control for these factors in forested wetlands by classifying pixels within a principal-components ordination of multitemporal reflectance, using data from three Landsat bands from each of seven scenes across a 3-year period in each of two phenological conditions. The principal components of reflectance that defined the classification were statistically related to vegetative conditions of the Louisiana field sites in interpretable ways, so the resulting classification represents the desired ecological gradients more robustly than single-image classifications.
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Acknowledgments
Support for this work was from the Louisiana Office of the Governor Coastal Activities Program for Applied Research in the Coastal Area (GOCA-PARCA) under project LSU-AG940-40-4186, by Louisiana Office of the Governor under agreement No. 631667, and by CSREES/USDA under project number LAB93735. This is manuscript 2012-241-7575 of the Louisiana Agricultural Research Station. Rudy Sparks of Williams, Inc. provided valuable field expertise and access to study sites. Peggy McClain, Winston McKenna, Will deGravelles, Greg Badon, and Amy Magro assisted with data collection and analysis.
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Keim, R.F., Zoller, J.A., Braud, D.H. et al. Classification of Forested Wetland Degradation Using Ordination of Multitemporal Reflectance. Wetlands 33, 1103–1115 (2013). https://doi.org/10.1007/s13157-013-0466-1
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DOI: https://doi.org/10.1007/s13157-013-0466-1