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Assessment of the capability of Landsat-8 satellite imagery for predicting soil organic carbon distribution Laribi, Abdelkader; Abdelouahad , Radjae; Tamine, Imane; Dehnoun, Zahida
Journal of Degraded and Mining Lands Management Vol. 12 No. 1 (2024)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2024.121.6781

Abstract

Soil organic carbon (SOC) is an important component of soil and plays a crucial role in addressing climate change. As a key component of soil organic matter, SOC directly impacts soil fertility, water retention, nutrient cycling, and overall soil health. The determination of SOC concentrations in soil often relies on costly physical sampling and chemical analysis. The aim of this research was to build a predictive model of SOC using satellite imagery of Landsat 8 OLI/TIRS over an agricultural area (Oued El Alleug) in the north of Algeria. The statistical correlations between the spectral bands (B2 and B6) and chemically measured SOC concentrations showed that it is possible to predict spatially the SOC concentrations. The results also showed that the topographic variables are not determinant in the spatial prediction of SOC concentrations. The predicted model showed an acceptable performance with a coefficient of determination (R2) = 0.7 and a root mean square error (RMSE) = 7.08 g/kg during the validation phase. The results of this study are important, as they will facilitate decision-making in soil conservation practices and enhance land management, especially in areas facing increasing agricultural and environmental pressures.
Nutrient and productivity indices as tools for soil fertility assessment in Chebli, Mitidja Plain, Algeria Laribi, Abdelkader; Krireche, Amel; Dehnoun, Zahida
Journal of Degraded and Mining Lands Management Vol. 13 No. 1 (2026)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2026.131.9191

Abstract

Ensuring food security in the face of growing global demand and environmental constraints requires sustainable management of agricultural soils. Soil chemical fertility plays a critical role in crop productivity and, consequently, in the long-term capacity of agricultural systems to meet food demands. In this context, assessing the status of key soil nutrients, namely nitrogen, phosphorus, and potassium, is essential for guiding effective land management strategies. The municipality of Chebli was selected for this research. Eighteen composite soil samples were collected from the surface horizon (0-20 cm) and analyzed for major fertility indicators. The study evaluated the chemical fertility of agricultural soils using both the Nutrient Index classification and the Productivity Index. All soils exhibited low total N concentrations (0.10% to 0.23%). Available P concentrations ranged from 2.07 to 75.46 mg kg?¹, with a mean value of 19.70 mg kg?¹, while available K concentrations were low (<0.4 cmol kg?1). The Nutrient Index assessment classified the soils of Chebli as having moderate fertility with respect to organic matter and available phosphorus, and low fertility for nitrogen and potassium (NI pattern: MLML). In addition, the Productivity Index identified three distinct productivity classes, with a dominance of the moderate productivity class (PI between 41 and 60). These findings provide a scientific basis for developing site-specific fertilization strategies and sustainable soil management practices. Future research should focus on long-term monitoring and the use of organic amendments to enhance both soil fertility and crop productivity.