output
20072026
most citedLand Cover Classification via Multi-temporal Spatial Data by Recurrent Neural Networks

291 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing q-bio.QMShow all

6 papers · 1 filter

q-bio.QM2025

GeoPl@ntNet: A Platform for Exploring Essential Biodiversity Variables

Lukas Picek, César Leblanc, Alexis Joly +3

This paper describes GeoPl@ntNet, an interactive web application designed to make Essential Biodiversity Variables accessible and understandable to everyone through dynamic maps an…

q-bio.QM2024★ 7 cited

Bioregionalization analyses with the bioregion R-package

Pierre Denelle, Boris Leroy, Maxime Lenormand

Bioregionalization consists in the identification of spatial units with similar species composition and is a classical approach in the fields of biogeography and macroecology. The…

q-bio.QM2024★ 2 cited

Riemannian L-systems: Modeling growing forms in curved spaces

Christophe Godin, Frédéric Boudon

In the past 50 years, the formalism of L-systems has been successfully used and developed to model the growth of filamentous and branching biological forms. These simulations take…

q-bio.QM2020★ 188 cited

Retrieval of aboveground crop nitrogen content with a hybrid machine learning method

Katja Berger, Jochem Verrelst, Jean-Baptiste Féret +4

Hyperspectral acquisitions have proven to be the most informative Earth observation data source for the estimation of nitrogen (N) content, which is the main limiting nutrient for…

q-bio.QM2017★ 112 cited

Analyzing huge pathology images with open source software

Christophe Deroulers, David Ameisen, Mathilde Badoual +3

Backgr: Digital pathology images are increasingly used both for diagnosis and research, because slide scanners are nowadays broadly available and because the quantitative study of…

q-bio.QM2016★ 41 cited

Using numerical plant models and phenotypic correlation space to design achievable ideotypes

Victor Picheny, Pierre Casadebaig, Ronan Trépos +4

Numerical plant models can predict the outcome of plant traits modifications resulting from genetic variations, on plant performance, by simulating physiological processes and thei…