Version 1
: Received: 26 April 2022 / Approved: 27 April 2022 / Online: 27 April 2022 (05:40:14 CEST)
How to cite:
Yimer, A.M.; Sodango, T.H.; Assefa, S.A. Analysis and Modeling of Soil Salinity Using Sentinel-2A and LANDSAT-8 images in the Afambo Irrigated Area, Afar Region, Ethiopia. Preprints2022, 2022040250. https://doi.org/10.20944/preprints202204.0250.v1
Yimer, A.M.; Sodango, T.H.; Assefa, S.A. Analysis and Modeling of Soil Salinity Using Sentinel-2A and LANDSAT-8 images in the Afambo Irrigated Area, Afar Region, Ethiopia. Preprints 2022, 2022040250. https://doi.org/10.20944/preprints202204.0250.v1
Yimer, A.M.; Sodango, T.H.; Assefa, S.A. Analysis and Modeling of Soil Salinity Using Sentinel-2A and LANDSAT-8 images in the Afambo Irrigated Area, Afar Region, Ethiopia. Preprints2022, 2022040250. https://doi.org/10.20944/preprints202204.0250.v1
APA Style
Yimer, A.M., Sodango, T.H., & Assefa, S.A. (2022). Analysis and Modeling of Soil Salinity Using Sentinel-2A and LANDSAT-8 images in the Afambo Irrigated Area, Afar Region, Ethiopia. Preprints. https://doi.org/10.20944/preprints202204.0250.v1
Chicago/Turabian Style
Yimer, A.M., Terefe Hanchiso Sodango and Sileshi Abi Assefa. 2022 "Analysis and Modeling of Soil Salinity Using Sentinel-2A and LANDSAT-8 images in the Afambo Irrigated Area, Afar Region, Ethiopia" Preprints. https://doi.org/10.20944/preprints202204.0250.v1
Abstract
Soil salinity is a severe soil degradation problem mainly faced in arid and semi-arid regions. About 11 million ha of land in the arid, semi-arid, and desert parts of Ethiopia is salt-affected, especially in the Awash River basin, including Afambo irrigated area. Remote sensing approaches are significant tools for accurately predicting and modeling accurately predicting and modeling soil salinity in various world regions. This study aims to analyze and model soil salinity status in the case of Afambo irrigated areas using Landsat-8 and sentinel-2A, Afar region, Ethiopia, by applying remote sensing with field measurements. Thirty-two soil samples were collected from the topsoil (0-30 cm); out of these, 25 soil samples with various EC ranges were selected for modeling, and the remaining 7 samples were utilized to validate the model. Landsat-8 and Sentinel-2A images acquired in the same month were used to extract soil salinity indices. Linear regression analyses correlated the EC data with corresponding soil salinity spectral index values derived from satellite images. The best-performing model was selected for salinity mapping. The soil salinity indices extracted from both Landsat-8 and Sentinel-2A bands estimated soil salinity with high acceptable accuracy of R2 values of SI, 0.78 and 0.81, respectively. The model results in three salinity classes with varying degree of salinity, namely, highly saline, moderately saline, and slightly saline, which covers 15.1%, 39.8% and 45.1% of the total area for Landsat-8, respectively and 26.1%, 32%, and 41.9% for sentinel 2A, respectively. Generally, the results revealed that the expansion rate of salt-affected soils has been increasing. From this study, it is possible to infer that if the present irrigation practice continues, it is expected that total the cultivated lands will become sterile within a short period. Thus, it needs to be monitored regularly to secure up-to-date knowledge of their extent to improve management practices and take appropriate actions.
Keywords
soil salinity; EC; Landsat 8 and Sentinel-2A
Subject
Environmental and Earth Sciences, Environmental Science
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
