Exploring open-source multispectral satellite remote sensing as a tool to map long-term evolution of salt marsh shorelines. (5th March 2022)

• Record Type: Journal Article
• Authors: Blount, Tegan R.; Carrasco, A. Rita; Cristina, Sónia; Silvestri, Sonia
• Is Part Of: Estuarine, coastal and shelf science. Volume 266(2022)
• Publication Date: 2022-03-05
• Subjects: Multispectral satellite -- Salt marsh -- Transitional zones -- Shoreline evolution -- Wetland mapping -- Ria Formosa Lagoon; Estuarine oceanography -- Periodicals; Coasts -- Periodicals; Estuarine biology -- Periodicals; Seashore biology -- Periodicals; Coasts; Estuarine biology; Estuarine oceanography; Seashore biology; Periodicals; 551.461805
• DOI: 10.1016/j.ecss.2021.107664
• Languages: English
• ISSNs: 0272-7714

Abstract

Abstract: From an ecological and socio-economic perspective, salt marshes are one of the most valuable natural assets on Earth. As external pressures are causing their extensive degradation and loss globally, the ability to monitor salt marshes on a long-term scale and identify drivers of change is essential for their conservation. Remote sensing has been demonstrated to be one of the most adept methods for this purpose and open-source multispectral satellite remote sensing missions have the potential to provide worldwide long-term time-series coverage that is non-cost-prohibitive. This study derives the long-term lateral evolution of four salt marsh patches in the Ria Formosa coastal lagoon (Portugal) using data from the Sentinel-2 and Landsat missions as well as from aerial photography surveys to quantitatively examine the accuracy and associated uncertainty in using open-source multispectral satellite remote sensing for this purpose. The results show that these open-source satellite archives can be a useful tool for tracking long-term salt marsh extent dynamics. During 1976–2020, there was a net loss of salt marsh in the study area, with erosion rates reaching an average of −3.3 m/yr opposite a tidal inlet. The main source of error in the satellite results was the dataset spatial resolution limits, but the specific salt marsh shoreline environment contributed to the relative magnitude of that error. The study notes the influence of eco-geomorphological dynamics on the mapping of sedimentary environments, so far not extensively discussed in scientific literature, highlighting the difference between mapping a morphological process and a sedimentary environment. Graphical abstract: Image 1 Highlights: Results point towards a net loss of salt marsh during 1976–2020. Despite limitations, open-source satellites can monitor long-term salt marsh dynamics. Marsh shoreline morphology and sensor spatial resolution dictates mapping accuracy. In comparison to Landsat-8, Sentinel-2 more accurately maps salt marsh shorelines.