Researchers use drones, machine learning to detect dangerous ‘butterfly’ landmines

Using advanced machine learning, drones could be used to detect dangerous “butterfly” landmines in remote regions of post-conflict countries, according to research from Binghamton University, State University at New York.

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Satellite constellations harvest energy for near-total global coverage

A National Science Foundation-sponsored collaboration led by Patrick Reed, the Joseph C. Ford Professor of Engineering at Cornell University, has discovered the right combination of factors to make a four-satellite constellation possible, which could drive advances in telecommunication, navigation and remote sensing.

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Sharing data for improved forest protection and monitoring

Although the mapping of aboveground biomass is now possible with satellite remote sensing, these maps still have to be calibrated and validated using on-site data gathered by researchers across the world. A newly established global database will support Earth Observation and encourage investment in relevant field-based measurements and research.

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