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Characterization of the Chemical Properties of Deposited Red Clay Soil Using GIS Based Inverse Distance Weighted Method in Kirkuk City, Iraq

Salahalden Veyan Farhad, Shareef Muntadher Aidi, Al Nuaimy Qahtan A. M.

Ecological Engineering & Environmental Technology

2023

Vol. 24, iss. 7

46--60

This study focuses on the physical and chemical properties of soils and their geographical distribution, with a specific focus on red clay. The inverse distance weighting (IDW) technique, integrated with Geographic Information Systems (GIS), was employed to predict the chemical characteristics of the soil. Sampling was conducted at twenty-one locations in three areas: Bor Mountain, Jambor, and Kirkuk Hills, all located within Kirkuk City. Seven soil properties were examined: acidity, organic matter content, total dissolved salts (TDS), gypsum, chlorides, and sulfates. The chemical analysis revealed that the soil pH ranged within an acidic range. One sample exhibited a high TDS level. Chloride levels varied within a specific range. The concentration of organic matter in the soil exhibited variability. Sulfur trioxide and gypsum concentrations were found to be below average in the study region. The IDW technique effectively mapped the distribution of the different soil parameters within Kirkuk City, demonstrating a range from good to excellent accuracy. Additionally, a cross-validation method was employed to assess the correlation between the fundamental and investigated chemical properties. The results showed good to excellent degrees of correlation in the different structures studied.

Characterization and Estimation of Dates Palm Trees in an Urban Area Using GIS-Based Least-Squares Model and Minimum Noise Fraction Images

Shareef Muntadher Aidi, Hasan Sumaya Falih

Journal of Ecological Engineering

2020

Vol. 21, nr 6

78--85

Date palm is the major food source and possesses an important role in the economic aspects, environmental parts, and society. These crops were subjected to degradation due to the financial and numerous military conflicts. Because of the expensive cost of monitoring and managing date palm in field measurements, and limited studies using satellite images, the authors proposed a method to estimate and map date palm using the Landsat-8 satellite images. The authors applied the least-squares multiple regression and GIS techniques to find suitable predictors from the set of variables such as original bands of Landsat-8, Minimum Noise Fraction (MNF) transformation, tasseled cap component transformation, and spectral index. In order to validate the proposed method, the field measurement data were utilized to assess the estimated date palm from the Landsat-8 images. A linear combination of MNF Landsat-8 band 4 (red, 0.636–0.673 µm), Normalized Difference Moisture Index (NDMI) and Enhanced Vegetation Index (EVI) were the best date palm predictor (R2adj= 0.988, root-mean-squared error (RMSE) = 0.013). The results demonstrate that the MNF Landsat-8 images in the least square regression help improve the date palm estimation and mapping for the practical use in the study area with high accuracy.