Determining the Soil Elements Distribution of a Google Earth Image Using a New Processing Method: A Case Study in Iraq

The study uses the photometric method, which depends on the intensity of color scale levels in the image pixels. The work is based on converting color into a wavelength in each pixel; in the beginning, the work has been verified by measuring the monochromatic wavelengths of rays, such as lasers. The Matlab program (image processing) calculated the number of lasers as 325 nm, 473 nm, 477 nm, 535 nm, 603, and 785 nm, where the results were very good and had a low error rate. The elements had distinctive colors, which indicated wavelengths in the visible range. The work was done for the sulfur element found in specific Iraqi locations, such as Al-Mashraq field in Mosul province. The image processing techniques by Matlab software, with the assistance of the Google Earth tool, zoomed the land from a scale of about 700 km to 5m, as shown in the research results. The result showed that the sulfur element locations on the map revealed that Iraq contains significant quantities of the element in western and southwestern regions, which essentially concentrate in referred locations compared to some fields in northern Iraq. This study and its results can help companies identify specific sulfur fields.

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Publication Details

Journal
Iraqi Journal of Science
Published
2025-05-30
DOI
https://doi.org/10.24996/ijs.2025.66.5.29
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
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article

Determining the Soil Elements Distribution of a Google Earth Image Using a New Processing Method: A Case Study in Iraq

Faleh H. Mahmood, Ahmed Asaad Zaeen, Khaleel I. Abood
Iraqi Journal of Science
Geochemistry and Geologic Mapping
article

Determining the Soil Elements Distribution of a Google Earth Image Using a New Processing Method: A Case Study in Iraq

Faleh H. Mahmood, Ahmed Asaad Zaeen, Khaleel I. Abood
article en

Abstract

The study uses the photometric method, which depends on the intensity of color scale levels in the image pixels. The work is based on converting color into a wavelength in each pixel; in the beginning, the work has been verified by measuring the monochromatic wavelengths of rays, such as lasers. The Matlab program (image processing) calculated the number of lasers as 325 nm, 473 nm, 477 nm, 535 nm, 603, and 785 nm, where the results were very good and had a low error rate. The elements had distinctive colors, which indicated wavelengths in the visible range. The work was done for the sulfur element found in specific Iraqi locations, such as Al-Mashraq field in Mosul province. The image processing techniques by Matlab software, with the assistance of the Google Earth tool, zoomed the land from a scale of about 700 km to 5m, as shown in the research results. The result showed that the sulfur element locations on the map revealed that Iraq contains significant quantities of the element in western and southwestern regions, which essentially concentrate in referred locations compared to some fields in northern Iraq. This study and its results can help companies identify specific sulfur fields.

Iraqi Journal of Science
University of Baghdad (IQ)
Openalex Percentile: Top 94%
Geochemistry and Geologic Mapping
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Determining the Soil Elements Distribution of a Google Earth Image Using a New Processing Method: A Case Study in Iraq — Faleh H. Mahmood, Ahmed Asaad Zaeen, et al. · Iraqi Journal of Science (2025) | TGRS Research Map | TGRS