2024
DOI: 10.1016/j.ocecoaman.2023.106933
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Coastal reclamation shaped narrower and steeper tidal flats in Fujian, China: Evidence from time-series satellite data

Wenting Wu,
Min Zhang,
Chunpeng Chen
et al.
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Cited by 5 publications
(2 citation statements)
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“…However, there are uncertainties in morphological data on a large scale derived from the waterline method due to the spatial inconsistency in the elevation of waterlines [29]. Recently, a pixelbased morphology mapping method was adopted to reconstruct the three-dimensional morphology of tidal flats [30,31], which links the inundation frequency to the tidal flat elevation of pixels to mitigate the spatial inconsistency of waterline height on a large scale. This method is easy to reproduce in other regions since it relies only on a simple remote sensing index [31,32].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…However, there are uncertainties in morphological data on a large scale derived from the waterline method due to the spatial inconsistency in the elevation of waterlines [29]. Recently, a pixelbased morphology mapping method was adopted to reconstruct the three-dimensional morphology of tidal flats [30,31], which links the inundation frequency to the tidal flat elevation of pixels to mitigate the spatial inconsistency of waterline height on a large scale. This method is easy to reproduce in other regions since it relies only on a simple remote sensing index [31,32].…”
Section: Introductionmentioning
confidence: 99%
“…Recently, a pixelbased morphology mapping method was adopted to reconstruct the three-dimensional morphology of tidal flats [30,31], which links the inundation frequency to the tidal flat elevation of pixels to mitigate the spatial inconsistency of waterline height on a large scale. This method is easy to reproduce in other regions since it relies only on a simple remote sensing index [31,32]. The key to reconstructing high-precision morphology of tidal flats is to classify the water and land area accurately in each image.…”
Section: Introductionmentioning
confidence: 99%