Overview of GeoLifeCLEF 2024: Species Composition Prediction with High Spatial Resolution at Continental Scale using Remote Sensing - AMIS
Communication Dans Un Congrès Année : 2024

Overview of GeoLifeCLEF 2024: Species Composition Prediction with High Spatial Resolution at Continental Scale using Remote Sensing

Lukáš Picek
Christophe Botella
Théo Larcher
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Alexis Joly

Résumé

Understanding the spatiotemporal distribution of species is a cornerstone of ecology and conservation. Pairing species observations with geographic and environmental predictors allows us to model the relationship between an environment and the species present at a given location. In light of that, we organize an annual competition, GeoLifeCLEF, which focuses on benchmarking and advancing state-of-the-art species distribution modeling using available bioclimatic and remote sensing data. The GeoLifeCLEF 2024 dataset spans across Europe and encompasses most of its flora. The species observation data comprises over 5 million Presence-Only (PO) occurrences and approximately 90 thousand Presence-Absence (PA) surveys. Those data are paired with various high-resolution rasters, including remote sensing imagery, land cover, and elevation, and are combined with coarse-resolution data such as climate, soil, and human footprint variables. In this paper, we present (i) an overview of the GeoLifeCLEF 2024 competition, (ii) a description of the provided data, (iii) an overview of approaches used by the participating teams, and (iv) the main results analysis.
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Dates et versions

hal-04720817 , version 1 (04-10-2024)

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  • HAL Id : hal-04720817 , version 1

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Lukáš Picek, Christophe Botella, Maximilien Servajean, César Leblanc, Remi Palard, et al.. Overview of GeoLifeCLEF 2024: Species Composition Prediction with High Spatial Resolution at Continental Scale using Remote Sensing. CLEF 2024 - Working Notes of the 25th Conference and Labs of the Evaluation Forum, Sep 2024, Grenoble, France. pp.1966-1977. ⟨hal-04720817⟩
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