Abstract
Soil salinity is one of the causes that directly affect agriculture in many countries and territories around the world. This study establishes a map of saline soils in the area of Long Thanh and Nhon Trach districts, Dong Nai province, using Sentinel-2 data taken in the dry season 2020–2021. The indicators used are Salinity Index, SI and Enhanced Vegetation Index, EVI. The electrical conductivity (EC) data collected at that time was used to build a suitable model for the study area on the basis of correlation with the used indicators. On the basis of correlation calculations of a multiple linear regression model with the determination coefficient of approximately 0.75. At the same time, the March 2021 Sentinel-2 dataset is used to map saline soils as this is when saline soils are most apparent.
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Acknowledgements
This article was completed with the support of the project “Application of remote sensing technology and GIS to map saline soils in some areas of Dong Nai province”, ID: UDNGDP.04/20-21
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Chu, X.H. et al. (2023). The Study of Extraction Soil Salinity Information from High Resolution Multispectral Remote Sensing Data, Pilot Area in DongNai Province, Vietnam. In: Vo, P.L., Tran, D.A., Pham, T.L., Le Thi Thu, H., Nguyen Viet, N. (eds) Advances in Research on Water Resources and Environmental Systems. GTER 2022. Environmental Science and Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-17808-5_31
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