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Article

MorphEst: An Automated Toolbox for Measuring Estuarine Planform Geometry from Remotely Sensed Imagery and Its Application to the South Korean Coast

1
Department of Oceanography, Inha University, 100 Inharo, Incheon 22212, Korea
2
Department of Mathematics, Inha University, 100 Inharo, Incheon 22212, Korea
*
Author to whom correspondence should be addressed.
Received: 29 December 2020 / Revised: 15 January 2021 / Accepted: 15 January 2021 / Published: 19 January 2021
The rapid advance of remote sensing technology during the last few decades provides a new opportunity for measuring detectable estuarine spatial change. Although estuarine surface area and convergence are important hydraulic parameters often used to predict long-term estuarine evolution, the majority of automated analyses of channel plan view dynamics have been specifically written for riverine systems and have limited applicability to most of the estuaries in the world. This study presents MorphEst, a MATLAB-based collection of analysis tools that automatically measure estuarine planform geometry. MorphEst uses channel masks to extract estuarine length, convergence length, estuarine shape, and areal gain and loss of estuarine surface area due to natural or human factors. Comparisons indicated that MorphEst estimates closely matched with independent measurements of estuarine surface area (r = 0.99) and channel width (r = 0.92) of 39 estuaries along the South Korean coast. Overall, this toolbox will help to improve the ability to solve research questions commonly associated with estuarine evolution as it introduces a tool to automatically measure planform geometric features from remotely sensed imagery. View Full-Text
Keywords: land reclamation; estuarine planform geometry; South Korea; toolbox; convergence; estuarine surface area land reclamation; estuarine planform geometry; South Korea; toolbox; convergence; estuarine surface area
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MDPI and ACS Style

Jung, N.W.; Lee, G.-h.; Jung, Y.; Figueroa, S.M.; Lagamayo, K.D.; Jo, T.-C.; Chang, J. MorphEst: An Automated Toolbox for Measuring Estuarine Planform Geometry from Remotely Sensed Imagery and Its Application to the South Korean Coast. Remote Sens. 2021, 13, 330. https://0-doi-org.brum.beds.ac.uk/10.3390/rs13020330

AMA Style

Jung NW, Lee G-h, Jung Y, Figueroa SM, Lagamayo KD, Jo T-C, Chang J. MorphEst: An Automated Toolbox for Measuring Estuarine Planform Geometry from Remotely Sensed Imagery and Its Application to the South Korean Coast. Remote Sensing. 2021; 13(2):330. https://0-doi-org.brum.beds.ac.uk/10.3390/rs13020330

Chicago/Turabian Style

Jung, Nathalie W., Guan-hong Lee, Yoonho Jung, Steven M. Figueroa, Kenneth D. Lagamayo, Tae-Chang Jo, and Jongwi Chang. 2021. "MorphEst: An Automated Toolbox for Measuring Estuarine Planform Geometry from Remotely Sensed Imagery and Its Application to the South Korean Coast" Remote Sensing 13, no. 2: 330. https://0-doi-org.brum.beds.ac.uk/10.3390/rs13020330

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