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Št. zadetkov: 2
Simultaneous retrieval of 13 phytoplankton pigments from Sentinel-3 OLCI using convolutional neural networks and transfer learning
Borja Sánchez-López, Marco Talone, Jesus Cerquides, Annalisa Di Cicco, Gonzalo Martínez-Fornos, Petra Slavinec
Izvirni znanstveni članek
Oznake: convolutional neural network;phytoplankton diagnostic pigments;machine-learning;multi-spectral radiometry;Sentinel-3 OLCI;ocean colour;
Phytoplankton pigment concentrations retrieved from ocean color satellite observations provide key information on marine ecosystem composition and biogeochemical cycling. Although Machine Learning (ML) approaches have been applied to multi-spectral sensors such as the Moderate Resolution Imaging Spe ...
Leto: 2026 Vir: Nacionalni inštitut za biologijo (NIB)
Are caves enough to represent karst groundwater biodiversity? Insights from geospatial analyses applied to European obligate groundwater-dwelling copepods
Emma Galmarini, Mattia Di Cicco, Barbara Fiasca, Nataša Mori, Mattia Iannella, Tiziana Di Lorenzo, Francesco Cerasoli, Diana Maria Paola Galassi
Izvirni znanstveni članek
Oznake: copepoda;groundwater;biodiversity;datasets;caves;karst;Europe;
Caves are recognized as biodiversity hotspots for groundwater fauna, including obligate groundwater-dwelling copepods (Crustacea: Copepoda), exhibiting high species richness, endemism, and phylogenetic rarity. However, the extent to which caves alone provide a representative estimate of copepod spec ...
Leto: 2025 Vir: Nacionalni inštitut za biologijo (NIB)
Št. zadetkov: 2
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