An open-source software environment for visualizing and refining plate tectonic reconstructions using high-resolution geological and geophysical data sets

We describe a powerful method to explore spatio-temporal relationships within geological and geophysical data sets by analyzing the data within the context of tectonic reconstructions. GPlates is part of a new generation of plate reconstruction software that incorporates functionality familiar from GIS software with the added dimension of geological time. Here we use GPlates to reconstruct geological terranes, geophysical grids, and paleomagnetic data within alternative tectonic models of the assembly of Western Australia and the configuration of Rodinia. With the ability to rapidly visualize a diverse range of geological and geophysical constraints within different reconstructions, users can easily investigate the implications of different tectonic models for reconciling a variety of observations and make more informed choices between different models and data

Ocean Ecosystems Plankton Classification

none2noPlankton is the most fundamental component of ocean ecosystems, due to its function at many levels of the oceans food chain. The variations of its distribution are useful indicators for oceanic or climatic events; therefore, the study of plankton distribution is crucial to protect marine ecosystems. Currently, much research is concentrated on the automated recognition of plankton and several imaging-based technologies have been developed for collecting plankton images continuously using underwater image sensors. In this chapter, we propose an automated plankton recognition system, which is based on deep learning methods combined with so-called handcrafted features. The experimental evaluation, carried out on three large publicly-available datasets, demonstrates high classification accuracy of the proposed approach when compared with other classifiers on the same datasets.noneLumini A.; Nanni L.Lumini A.; Nanni L