7 citations · 13 across the 7 of their papers we have counts for
7 papers
Overview of GeoLifeCLEF 2023: Species Composition Prediction with High Spatial Resolution at Continental Scale Using Remote Sensing
Christophe Botella, Benjamin Deneu, Diego Marcos +6
Understanding the spatio-temporal distribution of species is a cornerstone of ecology and conservation. By pairing species observations with geographic and environmental predictors…
Mapping biodiversity at very-high resolution in Europe
César Leblanc, Lukas Picek, Benjamin Deneu +4
This paper describes a cascading multimodal pipeline for high-resolution biodiversity mapping across Europe, integrating species distribution modeling, biodiversity indicators, and…
MALPOLON: A Framework for Deep Species Distribution Modeling
Theo Larcher, Lukas Picek, Benjamin Deneu +3
This paper describes a deep-SDM framework, MALPOLON. Written in Python and built upon the PyTorch library, this framework aims to facilitate training and inferences of deep species…
GeoPlant: Spatial Plant Species Prediction Dataset
Lukas Picek, Christophe Botella, Maximilien Servajean +7
The difficulty of monitoring biodiversity at fine scales and over large areas limits ecological knowledge and conservation efforts. To fill this gap, Species Distribution Models (S…
The GeoLifeCLEF 2023 Dataset to evaluate plant species distribution models at high spatial resolution across Europe
Christophe Botella, Benjamin Deneu, Diego Marcos +6
The difficulty to measure or predict species community composition at fine spatio-temporal resolution and over large spatial scales severely hampers our ability to understand speci…
The GeoLifeCLEF 2020 Dataset
Elijah Cole, Benjamin Deneu, Titouan Lorieul +6
Understanding the geographic distribution of species is a key concern in conservation. By pairing species occurrences with environmental features, researchers can model the relatio…