Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/145961
Title: A novel method for river bank detection from Landsat satellite data : a case study in the Vietnamese Mekong Delta
Authors: Binh, Doan Van
Wietlisbach, Basil
Kantoush, Sameh
Loc, Ho Huu
Park, Edward
de Cesare, Giovanni
Cuong, Do Huy
Tung, Nguyen Xuan
Sumi, Tetsuya
Keywords: Engineering::Environmental engineering
Issue Date: 2020
Source: Binh, D. V., Wietlisbach, B., Kantoush, S., Loc, H. H., Park, E., de Cesare, G., . . . Sumi, T. (2020). A novel method for river bank detection from Landsat satellite data : a case study in the Vietnamese Mekong Delta. Remote Sensing, 12(20), 3298-. doi:10.3390/rs12203298
Journal: Remote Sensing
Abstract: River bank (RB) erosion is a global issue affecting livelihoods and properties of millions of people. However, it has not received enough attention in the Vietnamese Mekong Delta (VMD), i.e., the world’s third largest delta, compared to salinity intrusion and flooding. There have been several studies examining RB and coastal erosion in the VMD using remotely sensed satellite data, but the applied methodology was not adequately validated. Therefore, we developed a novel SRBED (Spectral RB Erosion Detection) method, in which the M-AMERL (Modified Automated Method for Extracting Rivers and Lakes) is proposed, and a new RB change detection algorithm using Landsat data. The results show that NDWI (Normalized Difference Water Index) and MNDWI (Modified Normalized Difference Water Index) using the M-AMERL algorithm (i.e., NDWIM-AMERL, MNDWIM-AMERL) perform better than other indices. Furthermore, the NDWIM-AMERL; SMA (i.e., NDWIM-AMERL using the SMA (Spectral Mixture Analysis) algorithm) is the best RB extraction method in the VMD. The NDWIM-AMERL; SMA performs better than the MNDWI, NDVI (Normalized Difference Vegetation Index), and WNDWI (Weighted Normalized Difference Water Index) indices by 35–41%, 70% and 30%, respectively. Moreover, the NDVI index is not recommended for assessing RB changes in the delta. Applying the developed SRBED method and RB change detection algorithm, we estimated a net erosion area of the RB of –1.5 km2 from 2008 to 2014 in the Tien River from Tan Chau to My Thuan, with a mean erosion width of –2.64 m and maximum erosion widths exceeding 60 m in places. Our advanced method can be applied in other river deltas having similar characteristics, and the results from our study are helpful in future studies in the VMD.
URI: https://hdl.handle.net/10356/145961
ISSN: 2072-4292
DOI: 10.3390/rs12203298
Rights: © 2020 The Authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:ASE Journal Articles

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