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Characterization of portuguese sown rainfed grasslands using remote sensing and machine learning

Year: 2025

Type: article

Abstract: Sown biodiverse pastures (SBP) enhance grassland productivity and reduce fertilizer use in Portugal. Researchers used Sentinel-2 remote sensing to assess aboveground biomass; legume fraction; and nitrogen and phosphorus content across six farms in 2018 and 2019; employing various machine learning models for analysis.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15358122

Author: Pacheco Marques, Pedro

Language: English

Topic: Remote Sensing in Agriculture

Subfield: Ecology

Field: Environmental Science

Domain: Physical Sciences

SDGs: Life on land, Zero hunger, Climate action

Open Access status: green

OpenAlex ID: W6968051865

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