Kentsel alanlarda ağaç yükseklik bilgilerinin ICESat-2/ATLAS ve İHA verilerinden elde edilmesi
Year 2024,
, 86 - 96, 15.04.2024
Müge Ağca
,
Efdal Kaya
,
Ali İhsan Daloğlu
,
Aslıhan Yücel
,
Sercan Yalçınkaya
Abstract
Günümüzde nüfusun artması ile birlikte kentsel alanlar hızlı bir şekilde büyümektedir. Kentsel alanlardaki ağaçların belirlenmesi ve yükseklik bilgilerinin elde edilmesi karbon salınımlarının belirlenmesi, gölge, hava kirliliği gibi birçok disiplin tarafından önemsenen çalışmalar için büyük önem arz etmektedir. Bu çalışmanın genel amacı İnsansız Hava Aracı ve uzaysal ICESat-2/ATLAS sistemlerinden elde edilen veriler kullanılarak kentsel alanlarda ağaç yüksekliklerinin belirlenmesidir. Çalışma alanı olarak İzmir ilinin Balçova ilçesi seçilmiştir. Çalışmada ileri teknolojilerden elde edilen veriler arazide yerinde toplanan veriler ile karşılaştırılmıştır. Kentsel alanda ICESat-2 sisteminden elde edilen yükseklik bilgilerinin doğruluğu RMSE, MSE, MAE, ME, R2, Pearson korelasyon katsayısı, Spearman korelasyon katsayısı ve Kendall korelasyon katsayıları hesaplanarak nicel olarak değerlendirilmiştir. Ayrıca çalışma alanına ait yüksek kalite ve doğrulukta topografik veriler ve ortofoto oluşturulmuştur. Sonuç olarak, yapılan tüm istatistiksel analizler değerlendirildiğinde hem ICESat-2/ATLAS verilerinin (R2: 0.97) hem de İHA verilerinin (R2: 0.98) kentsel alanlarda ağaç yüksekliklerinin belirlenmesinde başarılı sonuçlar verdiği görülmüştür. Bu çalışmada ülkemizde henüz çok yeni bir veri seti olan ICESat-2/ATLAS verilerinin ağaç yükseklik bilgilerinin çıkarılmasındaki performansı analiz edilmiştir. Çalışmadan elde edilen sonuçlar ileride yapılacak olan benzer çalışmalara altlık olacak niteliktedir.
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Year 2024,
, 86 - 96, 15.04.2024
Müge Ağca
,
Efdal Kaya
,
Ali İhsan Daloğlu
,
Aslıhan Yücel
,
Sercan Yalçınkaya
References
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- Kohoutek, T. K., & Eisenbeiss, H. (2012). Processing of UAV based range imaging data to generate detailed elevation models of complex natural structures. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 39, 405-410. https://doi.org/10.5194/isprsarchives-XXXIX-B1-405-2012
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- Mielcarek, M., Stereńczak, K., & Khosravipour, A. (2018). Testing and evaluating different LiDAR-derived canopy height model generation methods for tree height estimation. International Journal of Applied Earth Observation and Geoinformation, 71, 132-143. https://doi.org/10.1016/j.jag.2018.05.002
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