Next-Generation Snow Cover Monitoring in Near Real Time: Evaluating the EUMETSAT H SAF H43 Product from MTG-FCI across the European Alps

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Authors: Semih Kuter, Çağrı Hasan Karaman, Mustafa Berkay AKPINAR, Zuhal Akyürek
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Abstract

Abstract. Reliable snow cover mapping in mountainous regions is critical for hydrology, climate monitoring, and hazard risk management. This study presents the initial evaluation of the EUMETSAT H SAF H43 snow cover extent product—the first derived from the Flexible Combined Imager (FCI) aboard Meteosat Third Generation (MTG)—over the European Alps. The assessment was performed by comparing H43 with its predecessor H34, using daily MODIS MOD10A1 NDSI-based binary snow maps as the reference for the 2024–2025 winter season. Evaluation metrics, including Probability of Detection (POD), False Alarm Ratio (FAR), and Overall Accuracy (ACC), were calculated based on pixel-level agreement across December to February. To investigate terrain-dependent classification performance, the spatial distribution of false alarms (B) and missed detections (C) was analyzed across elevation zones and terrain aspect classes derived from the MODIS 1 km MODDEM product. Wind rose visualizations revealed that both products exhibit classification uncertainty in mid-elevation ranges (1000–2000 m), with H34 showing higher miss rates and H43 slightly more false alarms. In higher elevation bands (≥2000 m), H43 demonstrated improved stability across slope orientations and generally lower error rates. These findings highlight the enhanced snow retrieval capability of the H43 product in complex alpine environments and support its application in near-real-time snow monitoring.

Fields of Study & Subjects

Cryospheric studies and observations Remote Sensing in Agriculture Precipitation Measurement and Analysis

Publication details

Journal / source
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
Volume
XLVIII-4/W18-2025
Pages
235–240
Publication date
27 January 2026
Language
EN