2015
DOI: 10.3390/rs71215828
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Remotely Sensed Trajectory Analysis of Channel Migration in Lower Jingjiang Reach during the Period of 1983–2013

Abstract: Abstract:In China, the Lower Jingjiang Reach (LJR) of the Yangtze River could be one of the most complicated areas in terms of channel migration. The river had undergone many channel changes in the reach since the 18th century. Intensive human activities in recent decades, such as the construction of upstream dams and revetments, had directly affected the channel migration characteristics. The revetment would significantly diminish migration, whereas the reduced sediment caused by dams would increase bank eros… Show more

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Cited by 58 publications
(46 citation statements)
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References 41 publications
(46 reference statements)
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“…In contrast, in the present study, MCC displacement vectors are characterized by both a length and angle, as noted above, rather than just returning a nominal directional designation. Thus, the explicit directionality of the MCC method fundamentally differs from the river shifting direction of [37] or any other prior similar study, to our knowledge. Furthermore, and importantly, the landscape changes detected by MCC application are not limited to a single entity type (e.g., a river channel) or certain directions (e.g., along river transects), but may demonstrate directional changes of land-covers that do not have complete or well-defined boundaries.…”
Section: Land-change Analysismentioning
confidence: 79%
See 2 more Smart Citations
“…In contrast, in the present study, MCC displacement vectors are characterized by both a length and angle, as noted above, rather than just returning a nominal directional designation. Thus, the explicit directionality of the MCC method fundamentally differs from the river shifting direction of [37] or any other prior similar study, to our knowledge. Furthermore, and importantly, the landscape changes detected by MCC application are not limited to a single entity type (e.g., a river channel) or certain directions (e.g., along river transects), but may demonstrate directional changes of land-covers that do not have complete or well-defined boundaries.…”
Section: Land-change Analysismentioning
confidence: 79%
“…In contrast, the MCC application proposed in the present study automatically generates directional landscape changes; no manual digitization step is utilized or required, even though manual digitization of river planforms is common practice (e.g., [36]). Yang et al (2015) [37] determined river-channel migration, or shift, direction, based on sequential satellite images; however, this shifting direction focuses on the migration of the centerline and is only comprised of a "left" or "right" designation. That is, the river shifting direction in [37] is based on the migration area of the centerline (i.e., area enclosed by sequential channel centerlines), where that area is divided into left and right portions relative to the river flow direction, employing the old centerline as the reference.…”
Section: Land-change Analysismentioning
confidence: 99%
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“…The image mosaic was carried out with ENVI 5.1 version software, thereby obtaining a composed image for the entire Ningbo coastal zone. Moreover, image-to-image registration method in ENVI was applied for the geometric correction of the Landsat time-series images [43]. The Landsat OLI image in 2015 was used as the reference for the other images, and the registration errors of all images were within one pixel (less than 30 m).…”
Section: Image Pre-processingmentioning
confidence: 99%
“…Image-to-image registration method in ENVI 5.1 was then used to make pixels in the two images precisely coincide to the same points on the ground [27,44]. In the process, Landsat-8 PAN image was chosen as a master and ZY-3 was to be registered.…”
Section: Study Area and Datasetsmentioning
confidence: 99%