Yüksek Çözünürlüklü Termal Görüntülerin Üretimi ve Değerlendirilmesi: Landsat 8 ve PlanetScope Uydu Verileri Örneği

Yıl 2024, Cilt: 39 Sayı: 3, 563 - 576, 30.10.2024

Emre Tunca

https://doi.org/10.7161/omuanajas.1468073

Öz

Bu çalışma, Landsat 8 ve PlanetScope uydu görüntüleri kullanılarak yüksek konumsal çözünürlüğe sahip yapay termal görüntülerin üretilmesi ve bu görüntülerin doğruluğunun değerlendirilmesini amaçlamaktadır. Sultansuyu Tarım İşletmesi arazileri örneği üzerinde yürütülen araştırmada, Normalize Edilmiş Vejetasyon İndeksi (NDVI) ve yüzey sıcaklığı (Ts) haritaları kullanılarak geliştirilen regresyon modeli PlanetScope görüntülerine uygulanmış ve yüksek çözünürlüklü Ts haritası oluşturulmuştur. Araştırmadan elde edilen sonuçlara göre PlanetScope görüntülerinin yüksek çözünürlüklü Ts haritalarında parsel sınırları daha net bir şekilde belirlenirken, Landsat 8 Ts görüntülerinde söz konusu detay ortaya konulamamıştır. İstatistiksel analizler, her iki uydu verisinin de benzer NDVI değerleri ürettiğini ve tutarlı sonuçlar sağladığını doğrulamıştır (R2=0.90). Ancak, PlanetScope verileri, Landsat 8'e göre, genel olarak, daha yüksek NDVI değerleri ve daha geniş bir varyans sergilemiştir. PlanetScope ile üretilen yapay Ts haritaları, homojen bölgelerde Landsat 8 ile benzer sonuçlar üretmesine rağmen, özellikle sulama yapılan düşük örtü yüzdesine sahip alanlarda hatalı Ts tahminleri yapılmaktadır. Gerçekleştirilen bu çalışma, uydu verilerinin tarımsal izleme ve çevresel analizlerde etkin bir şekilde kullanılabilmesi için metodolojik bir temel sağlamaktadır.

Anahtar Kelimeler

NDVI, Landsat 8, PlanetScope, Termal Görüntüleme, Yüzey Sıcaklığı

Production and Evaluation of High-Resolution Thermal Images: An Example Using Landsat 8 and PlanetScope Satellite Data

Öz

This study aims to generate high spatial resolution synthetic thermal images using Landsat 8 and PlanetScope satellite data and evaluate the accuracy of these images. The Sultansuyu Agricultural Enterprise lands served as the test site for this investigation. Regression model was developed using Normalized Difference Vegetation Index (NDVI) and surface temperature (Ts) maps, which was then applied to PlanetScope images to generate a high-resolution Ts map. The results showed that PlanetScope images allowed for clearer delineation of parcel boundaries in the high-resolution Ts maps compared to Landsat 8 Ts images. Statistical analyses confirmed that both satellite datasets produced similar NDVI values and consistent results (R2=0.90). However, PlanetScope data generally exhibited higher NDVI values and a wider variance compared to Landsat 8. The Ts maps produced using PlanetScope yielded similar results to Landsat 8 in homogeneous regions, but inaccurate Ts values were estimated in areas especially with low vegetation cover in irrigated fields. This study provides a methodological foundation for the effective use of satellite data in agricultural monitoring and environmental analyses.

Anahtar Kelimeler

NDVI, Landsat 8, PlanetScope, Thermal Monitoring, Surface Temperature

Kaynakça

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