VibrantForests produces coherent 10m wall-to-wall estimates of multiple forest structure attributes across the US by applying satellite models trained on lidar samples.
Application and theory gaps during the rise of Artificial Intelligence in Education
2 Pith papers cite this work. Polarity classification is still indexing.
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Machine learning models on student survey data predict media literacy competence, with academic year and prior training as key improving factors.
citing papers explorer
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Integrating national forest inventory, airborne lidar, and satellite imagery for wall-to-wall mapping of forest structure with computer vision
VibrantForests produces coherent 10m wall-to-wall estimates of multiple forest structure attributes across the US by applying satellite models trained on lidar samples.
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Leveraging Machine Learning Techniques to Investigate Media and Information Literacy Competence in Tackling Disinformation
Machine learning models on student survey data predict media literacy competence, with academic year and prior training as key improving factors.