Optical tool for salinity detection by remote sensing spectroscopy: application on Oran watershed, Algeria

Abdellatif, Dehni; Mourad, Lounis

doi:10.1117/1.jrs.11.036010

Cited by 3 publications

(1 citation statement)

References 27 publications

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“…The linear regression analysis was performed, and a good relationship was observed between the measured salinity of the soil samples and the radar images, with a coefficient of determination (R2) of 0.83. Alternatively, soil salinity maps obtained from remotely sensed data, such as satellite scenes or sensors mounted on airplanes, can provide a much faster and more economical way of mapping soil salinity for large areas [7].. Howari 2007reported that remote sensing has a potential application for rapid and large-scale mapping of salt-affected lands. In recent decades, remote sensing data has been widespread to map soil salinity, either directly from bare soil or indirectly from vegetation, in a real-time and cost-effective manner at various scales [8] .…”

Section: Introductionmentioning

confidence: 99%

Analysis and Modeling of Soil Salinity Using Sentinel-2A and LANDSAT-8 images in the Afambo Irrigated Area, Afar Region, Ethiopia

Yimer¹,

Sodango²,

Assefa³

2022

Preprint

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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.

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Section: Introductionmentioning

confidence: 99%

Analysis and Modeling of Soil Salinity Using Sentinel-2A and LANDSAT-8 images in the Afambo Irrigated Area, Afar Region, Ethiopia

Yimer¹,

Sodango²,

Assefa³

2022

Preprint

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Reconstruction of spatiotemporal change of Hoz-e-Sultan playa

Tali

Sabokkhiz

Alinoori

2018

J. Appl. Rem. Sens.

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Remote sensing approaches and mapping methods for monitoring soil salinity under different climate regimes

Gorji

Yıldırım

Sertel

et al. 2019

International Journal of Environment and Geoinformatics

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Soil salinization is one of the severe land-degradation problems due to its adverse effects on land productivity. Each year several hectares of lands are degraded due to primary or secondary soil salinization, and as a result, it is becoming a major economic and environmental concern in different countries. Spatio-temporal mapping of soil salinity is therefore important to support decisionmaking procedures for lessening adverse effects of land degradation due to the salinization. In that sense, satellite-based technologies provide cost effective, fast, qualitative and quantitative spatial information on saline soils.The main objective of this work is to highlight the recent remote sensing (RS) data and methods to assess soil salinity that is a worldwide problem. In addition, this study indicates potential linkages between salt-affected land and the prevailing climatic conditions of the case study areas being examined. Web of science engine is used for selecting relevant articles. "Soil salinity" is used as the main keyword for finding "articles" that are published from . Then, 3 keywords; "remote sensing", "satellite" and "aerial" were used to filter the articles. After that, 100 case studies from 27 different countries were selected. Remote sensing based researches were further overviewed regarding to their location, spatial extent, climate regime, remotely sensed data type, mapping methods, sensing approaches together with the reason of salinity for each case study. In addition, soil salinity mapping methods were examined to present the development of different RS based methods with time. Studies are shown on the Köppen-Geiger climate classification map. Analysis of the map illustrates that 63% of the selected case study areas belong to arid and semi-arid regions. This finding corresponds to soil characteristics of arid regions that are more susceptible to salinization due to extreme temperature, high evaporation rates and low precipitation.

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Optical tool for salinity detection by remote sensing spectroscopy: application on Oran watershed, Algeria

Cited by 3 publications

References 27 publications

Analysis and Modeling of Soil Salinity Using Sentinel-2A and LANDSAT-8 images in the Afambo Irrigated Area, Afar Region, Ethiopia

Analysis and Modeling of Soil Salinity Using Sentinel-2A and LANDSAT-8 images in the Afambo Irrigated Area, Afar Region, Ethiopia

Reconstruction of spatiotemporal change of Hoz-e-Sultan playa

Remote sensing approaches and mapping methods for monitoring soil salinity under different climate regimes

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