Spatiotemporal Patterns of Pasture Quality Based on NDVI Time-Series in Mediterranean Montado Ecosystem

The study uses Sentinel-2 satellite and OptRx sensor data to assess NDVI; tracking pasture quality indicators like moisture and protein. It helps optimize grazing management in dryland pastures in Alentejo; Portugal.

Institutions

Vale (Brazil) (BR)

Publication Details

Journal: Zenodo (CERN European Organization for Nuclear Research)
Published: 2025-05-07
DOI: https://doi.org/10.5281/zenodo.15358150
Primary Topic: Physiological and biochemical adaptations
Type: article
Field-Weighted Citation Impact: 0.00

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article

Spatiotemporal Patterns of Pasture Quality Based on NDVI Time-Series in Mediterranean Montado Ecosystem

May 7, 2025

Zenodo (CERN European Organization for Nuclear Research)

Physiological and biochemical adaptations

article

Spatiotemporal Patterns of Pasture Quality Based on NDVI Time-Series in Mediterranean Montado Ecosystem

May 7, 2025article en

Abstract

Zenodo (CERN European Organization for Nuclear Research)

Vale (Brazil) (BR)

Life in Land

Openalex Percentile: Top 54%

Physiological and biochemical adaptations

DOI Open Access PDF OpenAlex

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Spatiotemporal Patterns of Pasture Quality Based on NDVI Time-Series in Mediterranean Montado Ecosystem · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS