Research Article

Determining soil moisture with Sentinel-1 image

Volume: 11 Number: 2 November 1, 2024
TR EN

Determining soil moisture with Sentinel-1 image

Abstract

Soil moisture is vital for agricultural practices, climate change, erosion, and water management issues. Thus, monitoring and spatial distribution of soil moisture is also important. Nowadays, the usage of remote sensing, apart from traditional methods, for estimating soil moisture is rapidly increasing. In this context, Synthetic Aperture Radar images constitute one of the remote sensing tools. In this study, soil moisture was estimated using Sentinel-1 imaging in a 25-decar field. In situ measurements were carried out with a soil moisture meter in synchronization with the Sentinel-1 transition. As a result of the study, soil moisture was estimated with an empirical approach, using a model derived from in situ soil moisture measurement and Sentinel-1 backscatter data.

Keywords

Project Number

CUBAP M – 2023 – 845

Thanks

We want to thank CUBAP (Cumhuriyet University Scientific Research Projects) for M – 2023 – 845 numbered Project and their co-operation.

References

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Details

Primary Language

English

Subjects

Photogrammetry and Remote Sensing

Journal Section

Research Article

Early Pub Date

July 29, 2024

Publication Date

November 1, 2024

Submission Date

May 8, 2024

Acceptance Date

May 24, 2024

Published in Issue

Year 2024 Volume: 11 Number: 2

APA
Atun, R., & Gursoy, O. (2024). Determining soil moisture with Sentinel-1 image. Jeodezi Ve Jeoinformasyon Dergisi, 11(2), 149-156. https://doi.org/10.9733/JGG.2024R0010.E
AMA
1.Atun R, Gursoy O. Determining soil moisture with Sentinel-1 image. Jeodezi ve Jeoinformasyon Dergisi. 2024;11(2):149-156. doi:10.9733/JGG.2024R0010.E
Chicago
Atun, Rutkay, and Onder Gursoy. 2024. “Determining Soil Moisture With Sentinel-1 Image”. Jeodezi Ve Jeoinformasyon Dergisi 11 (2): 149-56. https://doi.org/10.9733/JGG.2024R0010.E.
EndNote
Atun R, Gursoy O (November 1, 2024) Determining soil moisture with Sentinel-1 image. Jeodezi ve Jeoinformasyon Dergisi 11 2 149–156.
IEEE
[1]R. Atun and O. Gursoy, “Determining soil moisture with Sentinel-1 image”, Jeodezi ve Jeoinformasyon Dergisi, vol. 11, no. 2, pp. 149–156, Nov. 2024, doi: 10.9733/JGG.2024R0010.E.
ISNAD
Atun, Rutkay - Gursoy, Onder. “Determining Soil Moisture With Sentinel-1 Image”. Jeodezi ve Jeoinformasyon Dergisi 11/2 (November 1, 2024): 149-156. https://doi.org/10.9733/JGG.2024R0010.E.
JAMA
1.Atun R, Gursoy O. Determining soil moisture with Sentinel-1 image. Jeodezi ve Jeoinformasyon Dergisi. 2024;11:149–156.
MLA
Atun, Rutkay, and Onder Gursoy. “Determining Soil Moisture With Sentinel-1 Image”. Jeodezi Ve Jeoinformasyon Dergisi, vol. 11, no. 2, Nov. 2024, pp. 149-56, doi:10.9733/JGG.2024R0010.E.
Vancouver
1.Rutkay Atun, Onder Gursoy. Determining soil moisture with Sentinel-1 image. Jeodezi ve Jeoinformasyon Dergisi. 2024 Nov. 1;11(2):149-56. doi:10.9733/JGG.2024R0010.E