Extracting the intertidal extent and topography of the Australian coastline from a 28 year time series of Landsat observations

Sagar, Stephen M.; Roberts, Dale; Bala, B. Kiran; Lymburner, Leo

doi:10.1016/j.rse.2017.04.009

Cited by 161 publications

(128 citation statements)

References 36 publications

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“…The concept has been proven and validated by Geoscience Australia together with CSIRO and the National Computing Infrastructure of Australia (NCI) who implemented the Australian Geoscience Data Cube, a national/continental scale DC of thousands of terabytes of EO data (Landsat, MODIS, Sentinel-2) making it quicker and easier to provide information on environmental issues that can affect all Australians Lewis et al, 2016;Purss et al, 2015). It has allowed mapping the extent of surface water across the entire Australian continent using 27 years of Landsat imagery (Mueller et al, 2016), gaining knowledge on flood dynamics over Australia (Tulbure, Broich, Stehman, & Kommareddy, 2016), or extracting the intertidal extent and topography of the Australian coastline (Sagar, Roberts, Bala, & Lymburner, 2017).…”

Section: Background: Setting the Scene For The Swiss Data Cubementioning

confidence: 99%

Building an Earth Observations Data Cube: lessons learned from the Swiss Data Cube (SDC) on generating Analysis Ready Data (ARD)

et al. 2017

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Section: Background: Setting the Scene For The Swiss Data Cubementioning

confidence: 99%

Building an Earth Observations Data Cube: lessons learned from the Swiss Data Cube (SDC) on generating Analysis Ready Data (ARD)

et al. 2017

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“…A reduction function (i.e., imageCollection.reduce()) provided by GEE was applied to generate the annual Landsat time series from 1987 to 2016. For each pixel, the output is composed of the median value of all the Landsat images within each year at that location, which can effectively remove the noise caused by outliers and poorly removed edges of clouds [25]. For estuarine islands mapping, such median-composing method can minimize the short-term coastal changes associated with sea level variabilities, wave run-up, sedimentary seasonal variations, and coastal storms [18].…”

Section: Methodsmentioning

confidence: 99%

“…In addition, many coastline indicators have been proposed in previous studies [24]. For each year, Landsat time series images were firstly stacked together to generate a median image [25] after the removal of clouds and shadows. Based on the annual median image, the waterline [26] as the boundary between the estuarine islands and the surrounding water was then defined as the coastline on an annual scale.…”

Section: Introductionmentioning

confidence: 99%

Continuously Tracking the Annual Changes of the Hengsha and Changxing Islands at the Yangtze River Estuary from 1987 to 2016 Using Landsat Imagery

Jia

Ding

et al. 2018

Water

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Abstract:The evolution of estuarine islands is potentially controlled by sediment discharge, tidal currents, sea level rise, and intensive human activities. An understanding of the spatial and temporal changes of estuarine islands is needed for environmental change monitoring and assessment in estuarine and coastal areas. Such information can also help us better understand how estuarine islands respond to sea level rise in the context of global warming. The temporal changes of two estuarine islands in Shanghai near the Yangtze River Estuary were obtained using Landsat TM (Thematic Mapper) and ETM+ (Enhanced Thematic Mapper) images from 1987 to 2016 on an annual scale. First, a composite image was generated by using the multi-temporal Landsat images for each year. Then, a modified normalized difference water index (MNDWI) was applied to the annual estuarine island maps using a threshold segmentation method. Finally, we obtained the temporal changes of the estuarine islands in Shanghai during the period 1987-2016. The results suggest that (1) Landsat TM/ETM+ images can be used for estuarine island mapping and change detection; (2) the two estuarine islands have expanded significantly during the past three decades; (3) human activities are the main driving factor that caused the expansion of the estuarine islands; and (4) the sea level can also partly explain the change in the estuarine islands. This study demonstrates that Landsat data are useful for determining the annual variations in the land area of two estuarine islands in Shanghai during the past 30 years. In the future, other factors and their contributions to estuarine island changes should be further investigated.

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“…This allows the time series to be queried in two domains, and provides the ability to isolate the confounding tidal height variability. An application of this concept was shown in the development of the intertidal extents model (ITEM), which modelled the exposed intertidal extent and topography of the Australian coastline using the Landsat archive [16].…”

Section: Introductionmentioning

confidence: 99%

“…Essentially, this imposed an arbitrary scale to the underlying tidal model, and an assumption that the tidal height at any given epoch did not vary within the extents of the image cell. Issues arising from this assumption included model discontinuities at some cell boundaries and increased model errors in complex estuaries and around coastal features that were divided by the arbitrary cell boundaries [16].…”

Section: Introductionmentioning

confidence: 99%

Generating Continental Scale Pixel-Based Surface Reflectance Composites in Coastal Regions with the Use of a Multi-Resolution Tidal Model

et al. 2018

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Generating continental-scale pixel composites in dynamic coastal and estuarine environments presents a unique challenge, as the application of a temporal or seasonal approach to composite generation is confounded by tidal influences. We demonstrate how this can be resolved using an approach to compositing that provides robust composites of multi-type environments. In addition to the visual aesthetics of the images created, we demonstrate the utility of these composites for further interpretation and analysis. This is enabled by the manner in which our approach captures the spatial variation in tidal dynamics through the use of a Voronoi mesh, and preserves the band relationships within the modelled spectra at each pixel. Case studies are presented which include continental-scale mosaics of the Australian coastline at high and low tide, and tailored examples demonstrating the potential of the tidally constrained composites to address a range of coastal change detection and monitoring applications. We conclude with a discussion on the potential applications of the composite products and method in the coastal and marine environment, as well as further development directions for our tidal modelling framework.

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Extracting the intertidal extent and topography of the Australian coastline from a 28 year time series of Landsat observations

Cited by 161 publications

References 36 publications

Building an Earth Observations Data Cube: lessons learned from the Swiss Data Cube (SDC) on generating Analysis Ready Data (ARD)

Building an Earth Observations Data Cube: lessons learned from the Swiss Data Cube (SDC) on generating Analysis Ready Data (ARD)

Continuously Tracking the Annual Changes of the Hengsha and Changxing Islands at the Yangtze River Estuary from 1987 to 2016 Using Landsat Imagery

Generating Continental Scale Pixel-Based Surface Reflectance Composites in Coastal Regions with the Use of a Multi-Resolution Tidal Model

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