Evaluation of Approaches for Mapping Tidal Wetlands of the Chesapeake and Delaware Bays
Open Access
- 12 October 2019
- journal article
- research article
- Published by MDPI AG in Remote Sensing
- Vol. 11 (20), 2366
- https://doi.org/10.3390/rs11202366
Abstract
The spatial extent and vegetation characteristics of tidal wetlands and their change are among the biggest unknowns and largest sources of uncertainty in modeling ecosystem processes and services at the land-ocean interface. Using a combination of moderate-high spatial resolution (≤30 meters) optical and synthetic aperture radar (SAR) satellite imagery, we evaluated several approaches for mapping and characterization of wetlands of the Chesapeake and Delaware Bays. Sentinel-1A, Phased Array type L-band Synthetic Aperture Radar (PALSAR), PALSAR-2, Sentinel-2A, and Landsat 8 imagery were used to map wetlands, with an emphasis on mapping tidal marshes, inundation extents, and functional vegetation classes (persistent vs. non-persistent). We performed initial characterizations at three target wetlands study sites with distinct geomorphologies, hydrologic characteristics, and vegetation communities. We used findings from these target wetlands study sites to inform the selection of timeseries satellite imagery for a regional scale random forest-based classification of wetlands in the Chesapeake and Delaware Bays. Acquisition of satellite imagery, raster manipulations, and timeseries analyses were performed using Google Earth Engine. Random forest classifications were performed using the R programming language. In our regional scale classification, estuarine emergent wetlands were mapped with a producer’s accuracy greater than 88% and a user’s accuracy greater than 83%. Within target wetland sites, functional classes of vegetation were mapped with over 90% user’s and producer’s accuracy for all classes, and greater than 95% accuracy overall. The use of multitemporal SAR and multitemporal optical imagery discussed here provides a straightforward yet powerful approach for accurately mapping tidal freshwater wetlands through identification of non-persistent vegetation, as well as for mapping estuarine emergent wetlands, with direct applications to the improved management of coastal wetlands.Funding Information
- National Aeronautics and Space Administration (NNX14AP06G, 80NSSC17K0365, 80NSSC17K0258)
This publication has 59 references indexed in Scilit:
- Partitioning net ecosystem carbon exchange of native and invasive plant communities by vegetation cover in an urban tidal wetland in the New Jersey Meadowlands (USA)Ecological Engineering, 2018
- Clarifying the role of coastal and marine systems in climate mitigationFrontiers in Ecology and the Environment, 2017
- Tidal wetland stability in the face of human impacts and sea-level riseNature, 2013
- Contemporary Rates of Carbon Sequestration Through Vertical Accretion of Sediments in Mangrove Forests and Saltmarshes of South East Queensland, AustraliaEstuaries and Coasts, 2013
- Wetland Monitoring Using the Curvelet-Based Change Detection Method on Polarimetric SAR ImageryWater, 2013
- Coastal eutrophication as a driver of salt marsh lossNature, 2012
- Estimating Global “Blue Carbon” Emissions from Conversion and Degradation of Vegetated Coastal EcosystemsPLOS ONE, 2012
- The value of estuarine and coastal ecosystem servicesEcological Monographs, 2011
- A blueprint for blue carbon: toward an improved understanding of the role of vegetated coastal habitats in sequestering CO2Frontiers in Ecology and the Environment, 2011
- Using C-Band Synthetic Aperture Radar Data to Monitor Forested Wetland Hydrology in Maryland's Coastal Plain, USAIEEE Transactions on Geoscience and Remote Sensing, 2008