Sentinel-1 görüntüsü ile toprak neminin belirlenmesi

Year 2024, Volume: 11 Issue: 2, 149 - 156, 01.11.2024

Rutkay Atun , Onder Gursoy

https://doi.org/10.9733/JGG.2024R0010.E

Abstract

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.

Keywords

Toprak nemi , Sentinel-1 , Yüzey toprak nemi indeksi , SAR

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.

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

Soil moisture , Sentinel-1 , Surface soil moisture index , SAR

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.

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