Estimating Soil Parameters Using C Band Synthetic Aperture Radar in Laylan, Iraq

• Autorzy: Ali Chelar Awny , Shareef Muntadher Aidi Shareef , Al Nuaimy Qahtan A.M.

Identyfikatory

DOI

10.12912/27197050/189889

• Języki publikacji: EN

Abstrakty

EN

This study aims to develop models for estimating topsoil properties by analyzing both the parametric and textural features extracted from Sentinel-1 C-SAR (VV, VH) images. Field measurements were collected from 13 soil samples in the Laylan region of Kirkuk City, Iraq, and utilized to develop and validate the models. The study employed classification algorithms, including the random forest (RF) and maximum likelihood (ML) classifiers, using specific indicators derived from Sentinel-1 data. Additionally, a soil triangle was constructed using three axes to represent the predicted target parameters, facilitating the identification of five distinct soil groups in the study area. The findings reveal that the soil triangle enables the delineation of five subcategories of soil characterized by varying proportions of sand and silt. Each soil sample was categorized into one of five predefined classes based on its clay content, ranging from 0% to 14.48%. The performances of the ML and RF algorithms were assessed, demonstrating their effectiveness in estimating percentage labels despite limited training data, with ML exhibiting higher accuracy than RF. The developed models showed promising potential; however, their applicability should be tested across diverse geographic regions with varying climatic conditions. Future research could focus on utilizing these models to generate soil texture maps, potentially enhancing soil parameter estimation in different environments.

Słowa kluczowe

EN

SAR images; Sentinel-1; random forest; soil texture; linear regression model

• Wydawca: Lubelski Oddział Polskiego Towarzystwo Inżynierii Ekologicznej ; Lublin University of Technology ; WNGB Wydawnictwo Naukowe
• Czasopismo: Ecological Engineering & Environmental Technology
• Rocznik: 2024
• Tom: Vol. 25, iss. 9
• Strony: 26--36
• Opis fizyczny: Bibliogr. 29 poz., rys., tab.

Twórcy

autor

Ali Chelar Awny

• Technical Engineering College, Northern Technical University, Kirkuk, Iraq

• https://orcid.org/0009-0008-7205-440X

autor

Shareef Muntadher Aidi Shareef

• Technical Engineering College, Northern Technical University, Kirkuk, Iraq

• https://orcid.org/0000-0002-9089-652X

autor

Al Nuaimy Qahtan A.M.

• Technical Engineering College, Northern Technical University, Kirkuk, Iraq

• https://orcid.org/0000-0002-8147-7876

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