2022
DOI: 10.1186/s40645-022-00490-7
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Comment on “Soil salinity assessment by using near-infrared channel and Vegetation Soil Salinity Index derived from Landsat 8 OLI data: a case study in the Tra Vinh Province, Mekong Delta, Vietnam” by Kim-Anh Nguyen, Yuei-An Liou, Ha-Phuong Tran, Phi-Phung Hoang and Thanh-Hung Nguyen

Abstract: Nguyen et al. (Prog Earth Planet Sci 7:1, 2020. https://doi.org/10.1186/s40645-019-0311-0) suggest that Landsat 8 OLI can be used to map and monitor soil salinity in the coastal zone of the Mekong River Delta. The authors use empirical correlations between the near-infrared (NIR) band, or vegetation indexes containing the NIR band, and soil salinity. We show that within the coastal portion of the Mekong Delta, extensively ponded due to widespread shrimp farming, about 90% of Landsat 8 pixels are fully or parti… Show more

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Cited by 5 publications
(2 citation statements)
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“…Recently, some attempts have been made to map soil salinity via remote sensing (Nguyen et al., 2020) or remote sensing combined with machine learning (Nguyen, Tran, et al., 2021; Pham et al., 2019). Although remote sensing‐based methods are capable of monitoring soil salinity over large areas, its effectiveness when applied in the VMD is controversial due to the distribution of floodplains causing errors during interpolation (Silvestri et al., 2022).…”
Section: Introductionmentioning
confidence: 99%
“…Recently, some attempts have been made to map soil salinity via remote sensing (Nguyen et al., 2020) or remote sensing combined with machine learning (Nguyen, Tran, et al., 2021; Pham et al., 2019). Although remote sensing‐based methods are capable of monitoring soil salinity over large areas, its effectiveness when applied in the VMD is controversial due to the distribution of floodplains causing errors during interpolation (Silvestri et al., 2022).…”
Section: Introductionmentioning
confidence: 99%
“…Discussion started: 22 March 2023 c Author(s) 2023. CC BY 4.0 License.The vegetation change analysis was performed based on the methodology bySilvestri et al (2022), with some modifications applied. The process includes shoreline delineation using ISP cluster unsupervised classification in ArcGIS, transect creation based on selected GPS profiles, gridding, and centroid creation at 1m x 1m resolution.…”
mentioning
confidence: 99%