Detecting the intertidal morphologic change using satellite data

Ryu, Ja‐Hyoung; Kim, Chang Hwan; Lee, Yoon Kyung; Won, Joong-Sun; Chun, Sejong; Lee, Saro

doi:10.1016/j.ecss.2008.01.020

Cited by 137 publications

(75 citation statements)

References 16 publications

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“…This is perhaps due to development of the science partially out of earlier remote sensing of inland lacustrine freshwater wetlands, where water level changes are typically less significant. However, some studies have used a sequence of satellite images to build an elevation model based on tidal inundation, although this method depends on known water levels at the time of image acquisition [227][228][229]. One variation uses a large number of images to overcome this challenge and reconstruct estimated topography from historical imagery taken at different, unknown flood levels [188,189].…”

Section: Freshwater Tidal Wetlands and Deltasmentioning

confidence: 99%

“…One approach to overcoming this challenge is to use information contained in other data sets to derive the sense of the topographic changes. The waterline method has been a useful way of doing so, using the extent of flooding seen in multiple optical images of a site taken at different water levels to effectively contour the topography [227][228][229]. This method relies upon knowing the water levels at the remote sensing imaging times, however, which is difficult for long or old imagery time series and in ungauged field locations.…”

Section: Landsat Records Of Topographic State Bifurcation In the Wax mentioning

confidence: 99%

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Multiple Stable States and Catastrophic Shifts in Coastal Wetlands: Progress, Challenges, and Opportunities in Validating Theory Using Remote Sensing and Other Methods

et al. 2015

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Multiple stable states are established in coastal tidal wetlands (marshes, mangroves, deltas, seagrasses) by ecological, hydrological, and geomorphological feedbacks. Catastrophic shifts between states can be induced by gradual environmental change or by disturbance events. These feedbacks and outcomes are key to the sustainability and resilience of vegetated coastlines, especially as modulated by human activity, sea level rise, and climate change. Whereas multiple stable state theory has been invoked to model salt marsh responses to sediment supply and sea level change, there has been comparatively little empirical verification of the theory for salt marshes or other coastal wetlands. Especially lacking is long-term evidence documenting if or how stable states are established and maintained at ecosystem scales. Laboratory and field-plot studies are informative, but of necessarily limited spatial and temporal scope. For the purposes of long-term, coastal-scale monitoring, remote sensing is the best viable option. This review summarizes the above topics and highlights the emerging promise and challenges of using remote sensing-based analyses to validate coastal OPEN ACCESS Remote Sens. 2015, 7 10185 wetland dynamic state theories. This significant opportunity is further framed by a proposed list of scientific advances needed to more thoroughly develop the field.

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Section: Freshwater Tidal Wetlands and Deltasmentioning

confidence: 99%

Section: Landsat Records Of Topographic State Bifurcation In the Wax mentioning

confidence: 99%

Multiple Stable States and Catastrophic Shifts in Coastal Wetlands: Progress, Challenges, and Opportunities in Validating Theory Using Remote Sensing and Other Methods

et al. 2015

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“…Given that the mean slope of a typical intertidal zone ranges between 1‰ and 3‰, the total positional error (1.5 pixels) may result in vertical errors of 4.5-13.5 cm on a 30 m resolution satellite image. Furthermore, the positional error introduced in the geo-correction and waterline extraction of the images and its influence on the accuracy has been discussed in the literature [20,32,35]; hence, this factor is not a focus of this study.…”

Section: Potential Errors In the Waterline Methodsmentioning

confidence: 99%

Quantitative Analysis of the Waterline Method for Topographical Mapping of Tidal Flats: A Case Study in the Dongsha Sandbank, China

Liu

Zhou

et al. 2013

Remote Sensing

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Abstract:Although the topography of tidal flats is important for understanding their evolution, the spatial and temporal sampling frequency of such data remains limited. The waterline method has the potential to retrieve past tidal flat topography by utilizing large archives of satellite images. This study performs a quantitative analysis of the relationship between the accuracy of tidal flat digital elevation models (DEMs) that are based on the waterline method and the factors that influence the DEMs. The three major conclusions of the study are as follows: (1) the coverage rate of the waterline points and the number of satellite images used to create the DEM are highly linearly correlated with the error of the resultant DEMs, and the former is more significant in indicating the accuracy of the resultant DEMs than the latter; (2) both the area and the slope of the tidal flats are linearly correlated with the error of the resultant DEMs; and (3) the availability analysis of the archived satellite images indicates that the waterline method can retrieve tidal flat terrains from the past forty years. The upper limit of the temporal resolution of the tidal flat DEM can be refined to within one year since 1993, to half a year since 2004 and to three months since 2009.

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“…Specific applications of high precision mapping of tidal flats have been achieved in some countries using Light Detection and Ranging (LIDAR) and Synthetic Aperture Radar (SAR) from aircraft [4,8]. However, these methods are limited for application over continental scales because of rapidly changing tidal conditions and the high cost of airborne acquisitions [3,9].…”

Section: Introductionmentioning

confidence: 99%

“…A range of methods to establish the location of waterline have been developed, including manual digitization [10,11], edge detection [12], density slicing [9,13] and multi-band classification [14]. By delineating the waterline at known tide heights, digital elevation models for the intertidal zone can be developed and tidal flats mapped to high accuracy [9]. However, if the aim is to map the extent of tidal flats, these methods are only suitable for areas where there is tide height information for the precise time of data capture.…”

Section: Introductionmentioning

confidence: 99%

Continental Scale Mapping of Tidal Flats across East Asia Using the Landsat Archive

et al. 2012

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Tidal flats provide habitat for biodiversity, protection from storm surges and sea level rise, and a range of other ecosystem services. However, no simple method exists for mapping tidal flats over large (>1,000 km) extents, and consequently their global status and distribution remain poorly understood. Existing mapping methods are restricted to small areas with known tidal regimes because tidal flats are only fully exposed for a brief period around low tide. Here we present a method for mapping tidal flats over very large areas and demonstrate its utility by mapping the tidal flats of China, the Democratic People's Republic of Korea and the Republic of Korea. We (i) generated tide height predictions at the acquisition time of all Landsat Archive images of our study area using a validated regional tide model, (ii) selected suitable images acquired in the upper and lower 10% of the tidal range, (iii) converted high and low tide images to a land and water class image derived from the Normalized Differenced Water Index (NDWI) and, (iv) subtracted the high tide classified image from the low tide classified image, resulting in delineation of the tidal flat. Using this method, we mapped the tidal flats for 86.8% of the study area coastline (13,800 km). A confusion matrix for error assessment indicated an accuracy of >85% for the resulting tidal flat map. Our method enables coastal morphology to be OPEN ACCESS Remote Sens. 2012, 4 3418 mapped and monitored at continental scales, providing critical data to inform coastal adaptation measures for sea level rise, for monitoring coastal habitat loss and for developing ecosystem-based coastal conservation measures.

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Detecting the intertidal morphologic change using satellite data

Cited by 137 publications

References 16 publications

Multiple Stable States and Catastrophic Shifts in Coastal Wetlands: Progress, Challenges, and Opportunities in Validating Theory Using Remote Sensing and Other Methods

Multiple Stable States and Catastrophic Shifts in Coastal Wetlands: Progress, Challenges, and Opportunities in Validating Theory Using Remote Sensing and Other Methods

Quantitative Analysis of the Waterline Method for Topographical Mapping of Tidal Flats: A Case Study in the Dongsha Sandbank, China

Continental Scale Mapping of Tidal Flats across East Asia Using the Landsat Archive

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