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The GeoLifeCLEF 2020 Dataset

Elijah Cole 1 Benjamin Deneu 2 Titouan Lorieul 2 Maximilien Servajean 3 Christophe Botella 4 Dan Morris 5 Nebojsa Jojic 5 Pierre Bonnet 6 Alexis Joly 2 
2 ZENITH - Scientific Data Management
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
3 ADVANSE - ADVanced Analytics for data SciencE
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : Understanding the geographic distribution of species is a key concern in conservation. By pairing species occurrences with environmental features, researchers can model the relationship between an environment and the species which may be found there. To facilitate research in this area, we present the GeoLifeCLEF 2020 dataset, which consists of 1.9 million species observations paired with high-resolution remote sensing imagery, land cover data, and altitude, in addition to traditional low-resolution climate and soil variables. We also discuss the GeoLifeCLEF 2020 competition, which aims to use this dataset to advance the state-of-the-art in location-based species recommendation.
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Contributor : Alexis Joly Connect in order to contact the contributor
Submitted on : Thursday, November 5, 2020 - 8:53:53 AM
Last modification on : Friday, November 18, 2022 - 9:27:06 AM

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  • HAL Id : hal-02989062, version 1
  • ARXIV : 2004.04192


Elijah Cole, Benjamin Deneu, Titouan Lorieul, Maximilien Servajean, Christophe Botella, et al.. The GeoLifeCLEF 2020 Dataset. 2020. ⟨hal-02989062⟩



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