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. 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
2025-10-22
DOI
https://doi.org/10.5281/zenodo.17414765
Primary Topic
History of Computing Technologies
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)
History of Computing Technologies
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. 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 39%
History of Computing Technologies
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) (2025) | TGRS Research Map | TGRS