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Journals / Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi / 2026 / Cilt: 13 Sayı: 3

Investigation of Predictability of Cotton Plant Production Area Ambient Humidity and Temperature Values with SAR and Optical Satellite Images

Pamuk Bitkisi Üretim Alanı Ortam Nem ve Sıcaklık Değerlerinin, SAR ve Optik Uydu Görüntüleri ile Tahmin Edebilirliğinin Araştırılması

Serkan Kılıçaslan(Dicle Üniversitesi Fen Bilimleri Enstitüsü)0000-0002-5595-2338
Remzi Ekinci(DİCLE ÜNİVERSİTESİ, ZİRAAT FAKÜLTESİ, TARLA BİTKİLERİ BÖLÜMÜ)0000-0003-4165-6631
Mehmet Cengiz Arslanoglu(Atatürk Bahçe Kültürleri Merkez Araştırma Enstitüsü)0000-0001-5152-569X
Pages
2217–2228
Publication Date
2023-09-01
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AI Summary & Key Takeaways

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

In large-scale field studies; VV, VV-VH and SMI index in estimating ambient humidity values; as it was concluded that the LST band can be used with high accuracy in estimating ambient temperature values, it has been recommended.

📌 3 Key Takeaways

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Objective & Hypothesis:In the study carried out in 8 villages and 27 cotton parcels of Mardin Province Artuklu and Kızıltepe Districts, ambient humidity and temperature values in the field were measured and recorded with data logger devices at 6-hour intervals.
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Key Findings & Data:The data obtained from the data loggers were analyzed with the Sentinel-1 and Landsat-8 satellite data prepared in the Google Earth Engine (GEE) environment and the relationship between them was examined.
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Conclusion & Impact:In large-scale field studies; VV, VV-VH and SMI index in estimating ambient humidity values; as it was concluded that the LST band can be used with high accuracy in estimating ambient temperature values, it has been recommended.
🔬Design:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:Pamuk · Sıcaklık · Nem

Abstract

In the study carried out in 8 villages and 27 cotton parcels of Mardin Province Artuklu and Kızıltepe Districts, ambient humidity and temperature values in the field were measured and recorded with data logger devices at 6-hour intervals. The data obtained from the data loggers were analyzed with the Sentinel-1 and Landsat-8 satellite data prepared in the Google Earth Engine (GEE) environment and the relationship between them was examined. While a high correlation was found between ambient humidity (ON) values and VV (R2=0.63), VV-VH (R2=0.68), Soil Moisture Index (SMI) (R2=0.84), low correlation was found between VV (R2=0.51), VH (R2=0.06), VV-VH (R2=0.49), LEE_VH (R2=0.09), LEE_VV (R2=0.49), GAMMA_VH (R2=0.11, GAMMA_VV (R2=0.08), MALIK_VH (R2=0.08), MALIK_VV (R2=0.49), SMI (R2=0.50). A high correlation was found between ambient temperature (OS) values and Land Surface Temperature (LST) (R2=0.80**). However, a low correlation was found between ambient temperature (OS) and VV (R2=0.51), VH (R2=0.06), VV-VH (R2=0.49), LEE_VH (R2=0.09), LEE_VV (R2=0.49), GAMMA_VH (R2=0.11, GAMMA_VV (R2=0.08), MALIK_VH (R2=0.08), MALIK_VV (R2=0.49), SMI (R2=0.50). In large-scale field studies; VV, VV-VH and SMI index in estimating ambient humidity values; as it was concluded that the LST band can be used with high accuracy in estimating ambient temperature values, it has been recommended.

Özet

Mardin İli Artuklu ve Kızıltepe İlçelerine bağlı 8 adet köy ve 27 adet pamuk parselinde yürütülen çalışmada, arazilerde ortam nem ve sıcaklık değerleri, 6 saat aralıklar ile datalogger cihazları ile ölçülmüş ve kayıt altına alınmıştır. Data loggerlardan elde edilen veriler, Google Earth Engine (GEE) ortamında hazırlanan Sentinel-1 ve Landsat-8 uydu verileriyle analiz edilerek aralarındaki ilişki irdelenmiştir. Ortam nemi (ON) değerleri ile VV (R2=0.63), VV-VH (R2=0.68), Toprak Nem İndeksi (SMI) (R2=0.84) arasında yüksek ilişki saptanırken, VH (R2=0.05), LEE_VH (R2=0.07), LEE_VV (R2=0.56), GAMMA_VH (R2=0.09), GAMMA_VV (R2=0.50), MALIK_VH (R2=0.07), MALIK_VV (R2=0.57) ve Arazi Yüzey Sıcaklığı (LST) (R2=0.35) arasında düşük ilişki saptanmıştır. Ortam sıcaklığı (OS) değerleri ile LST (R2=0.80**) arasında yüksek ilişki saptanırken, VV (R2=0.51), VH (R2=0.06), VV-VH (R2=0.49), LEE_VH (R2=0.09), LEE_VV (R2=0.49), GAMMA_VH (R2=0.11, GAMMA_VV (R2=0.08), MALIK_VH (R2=0.08), MALIK_VV (R2=0.49) ve SMI (R2=0.50) arasında düşük ilişki saptanmıştır. Geniş ölçekli arazi çalışmalarında ortam nemi değerlerinin tahmin edilmesinde VV, VV-VH ve SMI indisi; ortam sıcaklığı değerlerinin tahmin edilmesinde LST bandı yüksek doğruluk ile kullanılabileceği sonucuna varıldığından tavsiye edilmiştir.

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Cite This Article

Kılıçaslan, S., Ekinci, R., Arslanoglu, M. C. (2023). Investigation of Predictability of Cotton Plant Production Area Ambient Humidity and Temperature Values with SAR and Optical Satellite Images. Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi, Cilt: 13 Sayı: 3, 2217–2228. https://doi.org/10.21597/jist.1265099

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