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A Multi-Metric NDVI-Derived Dataset of Vegetation Dynamics and Land Surface Phenology in Southern and Central Europe (1982–2022)

Author

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  • Caterina Samela

    (Consiglio Nazionale Delle Ricerche, Istituto di Metodologie Integrate per l’Osservazione Della Terra (CNR-IMIOT), Tito Scalo, 85050 Potenza, Italy)

  • Maria Lanfredi

    (Consiglio Nazionale Delle Ricerche, Istituto di Metodologie Integrate per l’Osservazione Della Terra (CNR-IMIOT), Tito Scalo, 85050 Potenza, Italy)

  • Rosa Coluzzi

    (Consiglio Nazionale Delle Ricerche, Istituto di Metodologie Integrate per l’Osservazione Della Terra (CNR-IMIOT), Tito Scalo, 85050 Potenza, Italy)

  • Vito Imbrenda

    (Consiglio Nazionale Delle Ricerche, Istituto di Metodologie Integrate per l’Osservazione Della Terra (CNR-IMIOT), Tito Scalo, 85050 Potenza, Italy)

Abstract

This Data Descriptor presents a value-added suite of derived vegetation phenology products for Southern and Central Europe (10° W–28° E; 35° N–50° N), generated from the PKU GIMMS NDVI v1.2 archive (1982–2022) through a standardized processing workflow including quality screening, temporal compositing, phenological metric extraction, eco-phenological regionalization, and variability analysis. The final collection includes 82 GeoTIFF raster layers and one CSV file, structured into long-term monthly NDVI climatologies, decadal NDVI composites, eco-phenological regionalization, Land Surface Phenology (LSP) metrics with inter-decadal shift layers, and a Phenology Variability Index (PVI). In addition, cluster-level Mann–Kendall and Theil–Sen trend statistics are provided in tabular form. All products are distributed in WGS84 (EPSG:4326) at 0.0833° spatial resolution. The dataset provides ready-to-use vegetation phenology indicators, variability metrics, and spatially consistent climatological products, supporting applications in ecosystem monitoring, climate impact assessment, biodiversity studies, and large-scale environmental analysis across European bioclimatic regions.

Suggested Citation

  • Caterina Samela & Maria Lanfredi & Rosa Coluzzi & Vito Imbrenda, 2026. "A Multi-Metric NDVI-Derived Dataset of Vegetation Dynamics and Land Surface Phenology in Southern and Central Europe (1982–2022)," Data, MDPI, vol. 11(8), pages 1-9, August.
    • Handle: RePEc:gam:jdataj:v:11:y:2026:i:8:p:206-:d:2012682
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