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Journals / Jeodezi ve Jeoinformasyon Dergisi / 2024 / Cilt: 11 Sayı: 2

Determining soil moisture with Sentinel-1 image

Sentinel-1 görüntüsü ile toprak neminin belirlenmesi

Rutkay Atun(SİVAS CUMHURİYET ÜNİVERSİTESİ, MÜHENDİSLİK FAKÜLTESİ, HARİTA MÜHENDİSLİĞİ BÖLÜMÜ)0000-0001-9959-2058
Onder Gursoy(SİVAS CUMHURİYET ÜNİVERSİTESİ, MÜHENDİSLİK FAKÜLTESİ, HARİTA MÜHENDİSLİĞİ BÖLÜMÜ)0000-0002-1531-135X
Pages
149–156
Publication Date
2024-11-01
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

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.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Soil moisture is vital for agricultural practices, climate change, erosion, and water management issues.
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Key Findings & Data:In this study, soil moisture was estimated using Sentinel-1 imaging in a 25-decar field.
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Conclusion & Impact: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.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Toprak nemi · Sentinel-1 · Yüzey toprak nemi indeksi

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.

Özet

Toprak nemi, tarımsal uygulamalar, iklim değişikliği, erozyon ve su yönetimi konuları için hayati önem taşımaktadır. Bu nedenle, toprak neminin izlenmesi ve mekansal dağılımı da önemlidir. Günümüzde, toprak neminin belirlenmesinde geleneksel yöntemlerin yanı sıra uzaktan algılamanın kullanımı hızla artmaktadır. Bu bağlamda, Sentetik Açıklıklı Radar görüntüleri uzaktan algılama araçlarından birini oluşturmaktadır. Bu çalışmada, 25 dekarlık bir alanda Sentinel-1 görüntülemesi kullanılarak toprak nemi belirlenmiştir. Sentinel-1 geçişi ile senkronize olarak bir toprak nem ölçer ile yerinde ölçümler gerçekleştirilmiştir. Çalışma sonucunda, yerinde yapılan toprak nemi ölçümleri ve Sentinel-1 geri saçılımından türetilen bir model kullanılarak ampirik bir yaklaşımla toprak nemi hesaplanmıştır.

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Cite This Article

Atun, R., Gursoy, O. (2024). Determining soil moisture with Sentinel-1 image. Jeodezi ve Jeoinformasyon Dergisi, Cilt: 11 Sayı: 2, 149–156. https://doi.org/10.9733/JGG.2024R0010.E

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