Using multispectral satellite imagery and machine learning to automate agroforestry soil organic carbon and biodiversity prediction across Europe

Poster presented by Dr Colin Tosh at the second European Carbon Farming Summit in Dublin 04-06 March, 2025.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-03
DOI
https://doi.org/10.5281/zenodo.14968881
Primary Topic
Remote Sensing in Agriculture
Type
article
Field-Weighted Citation Impact
0.00
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article

Using multispectral satellite imagery and machine learning to automate agroforestry soil organic carbon and biodiversity prediction across Europe

Zenodo (CERN European Organization for Nuclear Research)
Remote Sensing in Agriculture
article

Using multispectral satellite imagery and machine learning to automate agroforestry soil organic carbon and biodiversity prediction across Europe

article en

Abstract

Poster presented by Dr Colin Tosh at the second European Carbon Farming Summit in Dublin 04-06 March, 2025.

Zenodo (CERN European Organization for Nuclear Research)
Zero hunger
Openalex Percentile: Top 52%
Remote Sensing in Agriculture
DOIOpen Access PDFOpenAlex
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Using multispectral satellite imagery and machine learning to automate agroforestry soil organic carbon and biodiversity prediction across Europe · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS