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Dergiler / International Journal of Environment and Geoinformatics / 2026 / Volume: 5 Issue: 2

Soil Moisture Mapping Using Sentinel-1A Synthetic Aperture Radar Data

Aliihsan Şekertekin(ÇUKUROVA ÜNİVERSİTESİ, CEYHAN MÜHENDİSLİK FAKÜLTESİ)0000-0002-4715-5160
Aycan Murat Marangoz(BÜLENT ECEVİT ÜNİVERSİTESİ, MÜHENDİSLİK FAKÜLTESİ)
Saygın Abdikan(BÜLENT ECEVİT ÜNİVERSİTESİ, MÜHENDİSLİK FAKÜLTESİ)
Sayfa
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Yayın Tarihi
2018-08-01
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

The obtained results showed that Sentinel-1A SAR data presented satisfying outcomes to estimate and map soil moisture content.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:The aim of this study is to estimate and map soil moisture distribution using C-band Synthetic Aperture Radar (SAR) data.
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Temel Bulgular & Veri:Sentinel-1A is a new generation C-band SAR satellite, and in this study Sentinel-1A data acquired on 24 April 2016 were used to retrieve soil moisture map.
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Sonuç & Katkı:The obtained results showed that Sentinel-1A SAR data presented satisfying outcomes to estimate and map soil moisture content.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:2016 Verileri
⚙️Değişkenler:Microwave Remote Sensing · Soil Moisture Mapping · Synthetic Aperture Radar

Abstract

The aim of this study is to estimate and map soil moisture distribution using C-band Synthetic Aperture Radar (SAR) data. Sentinel-1A is a new generation C-band SAR satellite, and in this study Sentinel-1A data acquired on 24 April 2016 were used to retrieve soil moisture map. An agricultural region in Bergama, a district of İzmir city, was chosen as the study area. In-situ soil moisture measurements were carried out in 20 test fields simultaneously with SAR data acquisition. The effects of soil moisture and local incidence angle on backscattering coefficient were analyzed, and then a multiple regression analysis was performed to generate an empirical model. The proposed model was evaluated using statistical metrics namely coefficient of determination (R 2 ) and Root Mean Square Error (RMSE), and the results were 0.84 and 2.46 %, respectively. The obtained results showed that Sentinel-1A SAR data presented satisfying outcomes to estimate and map soil moisture content.

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Bu Makaleye Atıf Yap

Şekertekin, A., Marangoz, A. M., Abdikan, S. (2018). Soil Moisture Mapping Using Sentinel-1A Synthetic Aperture Radar Data. International Journal of Environment and Geoinformatics, Volume: 5 Issue: 2. https://doi.org/10.30897/ijegeo.425606

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