EUMETSAT H SAF H35 fraksiyonel karla kaplı alan ürününün Tibet Platosu üzerinde performansının değerlendirilmesi

Year 2024, Volume: 10 Issue: 2, 148 - 156, 29.12.2024

Semih Kuter , Çağrı Hasan Karaman , Mustafa Berkay Akpınar , Zuhal Akyürek

https://doi.org/10.53516/ajfr.1565569

Abstract

Giriş ve Hedefler Tibet Platosu (TP) üzerindeki kar örtüsü dinamiklerini anlamak, hidrolojik çalışmalar ve iklim modellemeleri için kritik öneme sahiptir. Bu çalışma, H35 fraksiyonel karla kaplı alan (fSCA) ürününün Mayıs 2019 ile Aralık 2021 arasındaki performansını değerlendirmeyi amaçlamaktadır. H35 ürünü, AVHRR uydu verilerinden türetilmiş olup, 0,01° çözünürlükte günlük fSCA tahminleri sunmaktadır.
Yöntemler Değerlendirme, uzun vadeli MODIS verilerinden türetilen yüksek çözünürlüklü ve bulutsuz bir kar örtüsü veri seti kullanılarak gerçekleştirilmiştir. İstatistiksel analizde algılama olasılığı (POD), yanlış alarm oranı (FAR) ve doğruluk (ACC) gibi metrikler kullanılmıştır.
Bulgular Sonuçlar H35 ürününün performansında mevsimsel değişimlere işaret etmektedir. Kış aylarında POD değerleri 0,91’e ulaşırken, FAR düşüş eğilimi göstermiştir. Genel doğruluk (ACC) değerleri ise sürekli olarak yüksek seviyede kalmıştır, bu da ürünün güvenilirliğini ortaya koymaktadır.
Sonuçlar H35 ürününün doğrulama sonuçları, TP üzerindeki kar örtüsü dinamiklerinin anlaşılmasına katkı sağlamaktadır. Ayrıca, uydu verilerinden türetilen ürünlerin doğruluk analizinin, özellikle hidrolojik çalışmalar bağlamında, önemini vurgulamaktadır.

Keywords

Karın Optik Uzaktan Algılanması, EUMETSAT, H SAF, Fraksiyonel Kar Örtüsü, H35.

Evaluating the performance of the EUMETSAT H SAF H35 fractional snow-covered area product over the Tibetan Plateau

Abstract

Background and aims This study evaluates the performance of the H35 fractional snow-covered area (fSCA) product over the Tibetan Plateau (TP) from May 2019 to December 2021. The H35 product, derived from AVHRR satellite data, provides daily fSCA estimates at a resolution of 0.01°. The aim of this work is to assess the accuracy and reliability of this product in capturing snow cover dynamics over a significant period.
Methods Validation of the H35 product uses a high-resolution, cloud-free snow cover dataset derived from long-term MODIS data, ensuring temporal consistency and high accuracy. Statistical metrics, including probability of detection (POD), false alarm ratio (FAR), and accuracy (ACC), were employed to assess the product's performance.
Results The results reveal seasonal variations in performance, with POD values reaching a peak of 0.91 during the winter months. The FAR shows an inverse trend, while the overall ACC values remain consistently high, indicating reliable performance across the study period.
Conclusions This study contributes to the understanding of snow cover dynamics over the TP and highlights the significance of validating satellite-derived products for hydrological studies. The consistently high accuracy of the H35 product underscores its potential for use in monitoring snow cover in the region.

Keywords

Optical Remote Sensing of Snow, EUMETSAT, H SAF, Fractional Snow Cover, H35

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