Land surface phenology for the characterization of Mediterranean permanent grasslands DOI Creative Commons

Alberto Tanda,

Antonio Pulina, Simonetta Bagella

et al.

Precision Agriculture, Journal Year: 2024, Volume and Issue: 26(1)

Published: Dec. 27, 2024

The provision of ecosystem services from Mediterranean permanent grasslands is threatened due to shifting management practices and environmental pressures. This observational study tested the hypothesis that Land Surface Phenology (LSP) parameters high-resolution satellite data can characterize various support conservation improvement practices. potential LSP derived Sentinel-2 in identifying multi-layer mixed vegetation grasslands, including silvopastoral systems, were well-characterized an agronomic ecological perspective through field surveys, was assessed. Forty-nine polygons, representing eleven sites characterized by different grassland vegetation, soil, climate management, identified Sardinia (Italy). images 2017 2023 processed derive NDVI, calculated using TIMESAT 3.3 software. Canonical Correspondence Analysis showed a significant association (p < 0.05) between combination metrics used as proxies set relevant agronomical indicators. It then possible differentiate managed vs. abandoned (e.g., start peak season significantly later under unmanaged p 0.0001), wooded open grasslands(e.g., base value higher woodlands 0.0001) across gradients (altitude) (green-down rate mown than unmown areas, 0.0001). proved be promising features length growing season, earliness, forage availability, mowing grazing intensity, unpalatable species) grasslands. characterization design or monitoring detect abandonment pressures early.

Language: Английский

Land surface phenology for the characterization of Mediterranean permanent grasslands DOI Creative Commons

Alberto Tanda,

Antonio Pulina, Simonetta Bagella

et al.

Precision Agriculture, Journal Year: 2024, Volume and Issue: 26(1)

Published: Dec. 27, 2024

The provision of ecosystem services from Mediterranean permanent grasslands is threatened due to shifting management practices and environmental pressures. This observational study tested the hypothesis that Land Surface Phenology (LSP) parameters high-resolution satellite data can characterize various support conservation improvement practices. potential LSP derived Sentinel-2 in identifying multi-layer mixed vegetation grasslands, including silvopastoral systems, were well-characterized an agronomic ecological perspective through field surveys, was assessed. Forty-nine polygons, representing eleven sites characterized by different grassland vegetation, soil, climate management, identified Sardinia (Italy). images 2017 2023 processed derive NDVI, calculated using TIMESAT 3.3 software. Canonical Correspondence Analysis showed a significant association (p < 0.05) between combination metrics used as proxies set relevant agronomical indicators. It then possible differentiate managed vs. abandoned (e.g., start peak season significantly later under unmanaged p 0.0001), wooded open grasslands(e.g., base value higher woodlands 0.0001) across gradients (altitude) (green-down rate mown than unmown areas, 0.0001). proved be promising features length growing season, earliness, forage availability, mowing grazing intensity, unpalatable species) grasslands. characterization design or monitoring detect abandonment pressures early.

Language: Английский

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