pyBOSSE Analyses: Benchmarking remote sensing methods to capture plant functional diversity from space

Code corresponding to the analyses performed with the Biodiversity Observing System Simulation Experiment (pyBOSSE) submitted to Geoscientific Model Development (GMD) for review: https://doi.org/10.5194/egusphere-2025-318. Version generated for the Review #1 of the manuscript. Preprint describing analyses and results available in bioRxiv: https://doi.org/10.1101/2025.10.22.683881

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-21
DOI
https://doi.org/10.5281/zenodo.17414764
Primary Topic
Species Distribution and Climate Change
Type
article
Field-Weighted Citation Impact
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article

pyBOSSE Analyses: Benchmarking remote sensing methods to capture plant functional diversity from space

Zenodo (CERN European Organization for Nuclear Research)
Species Distribution and Climate Change
article

pyBOSSE Analyses: Benchmarking remote sensing methods to capture plant functional diversity from space

article en

Abstract

Code corresponding to the analyses performed with the Biodiversity Observing System Simulation Experiment (pyBOSSE) submitted to Geoscientific Model Development (GMD) for review: https://doi.org/10.5194/egusphere-2025-318. Version generated for the Review #1 of the manuscript. Preprint describing analyses and results available in bioRxiv: https://doi.org/10.1101/2025.10.22.683881

Zenodo (CERN European Organization for Nuclear Research)
National Research Council (LK)
Life in Land
Openalex Percentile: Top 94%
Species Distribution and Climate Change
DOIOpen Access PDFOpenAlex
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pyBOSSE Analyses: Benchmarking remote sensing methods to capture plant functional diversity from space · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS