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Predicting Bacterial Diversity in European Croplands Using Earth Observation and Meteorological Data

In this article, we explore models predicting soil bacterial diversity to: spectral indices derived from optical satellite remote sensing; and meteorological variables. We computed alpha and beta diversity indices using metabarcoding data generated from 214 cropland soil samples collected in the con...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Dimitrios Bormpoudakis, Pablo Sanchez-Cueto, Soraya Gonzalez Sanchez, Spyros Theodoridis, Maeva Labouyrie, Alberto Orgiazzi, Panos Panagos, Arwyn Jones, Salvador Llado, Martin Hartmann, Charalampos Kontoes
Format: Artigo
Sprache:Inglês
Veröffentlicht: IEEE 2026-01-01
Schriftenreihe:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Schlagworte:
Agriculture
biodiversity
environmental DNA (eDNA)
metabarcoding
microbial diversity
Online-Zugang:https://ieeexplore.ieee.org/document/11373650/
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