Evaluation of Approaches for Mapping Tidal Wetlands of the Chesapeake and Delaware Bays

Brian T Lamb,Maria A Tzortziou,Kyle C Mcdonald

doi: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.

Highlights

Tidal wetlands are among the most productive ecosystems on Earth, exerting a strong influence on hydrological and biogeochemical processes, especially carbon cycling [1,2,3]
In this study we examine the characterization of inundation dynamics and vegetation characteristics of target wetland study sites in the Chesapeake Bay using synthetic aperture radar (SAR) and optical satellite imagery
We used a combination of ground surveys and optical and SAR imagery to characterize tidal inundation patterns at two estuarine marsh study sites and vegetation characteristics at an estuarine marsh and a tidal freshwater marsh complex

Summary

Introduction

Tidal wetlands are among the most productive ecosystems on Earth, exerting a strong influence on hydrological and biogeochemical processes, especially carbon cycling [1,2,3]. The long-term sustainability of coastal communities and economies will increasingly rely on the many services that tidal wetlands provide, from recreation and food production, to water purification, coastal flood protection, and nutrient and sediment regulation [5]. Large areas of tidal wetlands continue to be damaged or lost due to development, filling, drainage, nutrient enrichment, and other anthropogenic disturbances [6,7,8,9]. Monitoring the response of tidal wetlands to these pressures and quantifying changes in their spatial extent and ecological characteristics has become increasingly important for improved management of these ecosystems and the services they provide.

Methods

Discussion

Conclusion