TR
EN
Determining soil moisture with Sentinel-1 image
Öz
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.
Anahtar Kelimeler
Proje Numarası
CUBAP M – 2023 – 845
Teşekkür
We want to thank CUBAP (Cumhuriyet University Scientific Research Projects) for M – 2023 – 845 numbered Project and their co-operation.
Kaynakça
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- Bazzi, H., Baghdadi, N., Nino, P., Napoli, R., Najem, S., Zribi, M., & Vaudour, E. (2024). Retrieving Soil Moisture from Sentinel-1: Limitations over Certain Crops and Sensitivity to the First Soil Thin Layer. Water, 16(1), 40.
- Bormudoi, A., Nagai, M., Katiyar, V., Ichikawa, D., & Eguchi, T. (2023). Soil Moisture Change Detection with Sentinel-1 SAR Image for Slow Onsetting Disasters: An Investigative Study Using Index Based Method. Land, 12(2), 506.
- El Hajj, M., Baghdadi, N., Bazzi, H., & Zribi, M. (2019). Penetration analysis of SAR signals in the C and L bands for wheat, maize, and grasslands. Remote Sensing, 11(1), 31.
- Esch, S., Korres, W., Reichenau, T. G., & Schneider, K. (2018). Soil moisture index from ERS-SAR and its application to the analysis of spatial patterns in agricultural areas. Journal of Applied Remote Sensing, 12(2), 022206-022206.
- Filion, R., Bernier, M., Paniconi, C., Chokmani, K., & Talazac, M. (2014). Empirical modelling to estimate surface soil moisture at field scale in Sardinia, Italy: Comparison between optical and SAR data. In 2014 IEEE geoscience and remote sensing symposium, 3243-3246.
- Geudtner, D., Torres, R., Snoeij, P., Davidson, M., & Rommen, B. (2014). Sentinel-1 system capabilities and applications. In 2014 IEEE geoscience and remote sensing symposium, 1457-1460.
- Gorrab, A., Zribi, M., Baghdadi, N., Lili-Chabaane, Z., & Mougenot, B. (2014). Multi-frequency analysis of soil moisture vertical heterogeneity effect on radar backscatter. In 2014 1st International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 379-384.
Ayrıntılar
Birincil Dil
İngilizce
Konular
Fotogrametri ve Uzaktan Algılama
Bölüm
Araştırma Makalesi
Erken Görünüm Tarihi
29 Temmuz 2024
Yayımlanma Tarihi
1 Kasım 2024
Gönderilme Tarihi
8 Mayıs 2024
Kabul Tarihi
24 Mayıs 2024
Yayımlandığı Sayı
Yıl 2024 Cilt: 11 Sayı: 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. hkmojjd. 2024;11(2):149-156. doi:10.9733/JGG.2024R0010.E
Chicago
Atun, Rutkay, ve 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 (01 Kasım 2024) Determining soil moisture with Sentinel-1 image. Jeodezi ve Jeoinformasyon Dergisi 11 2 149–156.
IEEE
[1]R. Atun ve O. Gursoy, “Determining soil moisture with Sentinel-1 image”, hkmojjd, c. 11, sy 2, ss. 149–156, Kas. 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 (01 Kasım 2024): 149-156. https://doi.org/10.9733/JGG.2024R0010.E.
JAMA
1.Atun R, Gursoy O. Determining soil moisture with Sentinel-1 image. hkmojjd. 2024;11:149–156.
MLA
Atun, Rutkay, ve Onder Gursoy. “Determining soil moisture with Sentinel-1 image”. Jeodezi ve Jeoinformasyon Dergisi, c. 11, sy 2, Kasım 2024, ss. 149-56, doi:10.9733/JGG.2024R0010.E.
Vancouver
1.Rutkay Atun, Onder Gursoy. Determining soil moisture with Sentinel-1 image. hkmojjd. 01 Kasım 2024;11(2):149-56. doi:10.9733/JGG.2024R0010.E