Employing Remote Sensing Techniques to Quantify Sediment Supply and Evaluate Marsh Vulnerability in the Plum Island EstuaryThe Plum Island Estuary (PIE) in Massachusetts is New England’s largest salt marsh. This dynamic ecosystem plays an important role in the surrounding communities by providing ecosystem and social services, acting as a center for education, research, and recreation. However, marshes around the world are threatened by sea level rise. As the equilibrium between sediment supply, erosion rates, and vegetation growth is unbalanced by rising waters, marshes are liable to recede, or even drown. Because sediment is so crucial, researchers use sediment budgets as a metric to assess Plum Island Estuary’s vulnerability to rising seas; however, established data collection methods are limited in scope. The project employed five years of imagery from Landsat 8 Operational Land Imager (OLI) and three years of imagery from Sentinel-2 Multispectral Instrument (MSI), in conjunction with in situ data, to generate and refine a local algorithm that derives suspended sediment concentration from remote sensing reflectance. This information was applied to a flux model to analyze transport patterns and possible sediment sources, particularly the Merrimack River. The use of remote sensing techniques will provide our partners at the US Geological Survey, US Fish and Wildlife Service, and Plum Island Ecosystems Long Term Ecological Research Network with higher spatial and temporal resolution data, which will allow for the development of more effective management practices.
Document ID
20200005215
Acquisition Source
Langley Research Center
Document Type
Poster
Authors
Sydney Neugebauer (Science Systems & Applications, Inc. Hampton, VA, USA)
Zachary Bengtsson (Science Systems & Applications, Inc. Hampton, VA, USA)
Kimberly Johnson (Science Systems & Applications, Inc. Hampton, VA, USA)
Bogumila Backiel (Science Systems & Applications, Inc. Hampton, VA, USA)
Ruizhe Guo (Science Systems & Applications, Inc. Hampton, VA, USA)
Linnea Smith (Science Systems & Applications, Inc. Hampton, VA, USA)
Henrik Westerkam (Science Systems & Applications, Inc. Hampton, VA, USA)
Date Acquired
May 11, 2020
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
B41F-2772NF1676L-31944
Meeting Information
Meeting: American Geophysical Union (AGU) 2018 Fall Meeting