Des chercheurs ont créé un nouvel outil d’analyse pour améliorer la traçabilité du bois qui pourrait permettre d’appliquer la législation de l’Union européenne visant à lutter contre la déforestation.
machine learning & AI
Posted inNews
Global Earthquake Analysis Seeks Elusive Foreshock Signal
Spotting foreshocks for what they are could help seismologists forecast large earthquakes.
Posted inResearch Spotlights
Decrypting Lunar Craters Quickly and Easily
Machine learning can reveal the stories written in the marks on the Moon.
Posted inNews
Fingerprinting Wood to Curb Illegal Deforestation
Researchers developed a new forensic tool for tracing the origins of timber that could enable enforcement of antideforestation legislation in the European Union.
Posted inNews
Where Does Fire Retardant Fall in a Forest? Ask a Satellite
Knowing where fire retardant lands once it’s dropped from a plane is hard to pin down. A new remote sensing approach offers clues.
Posted inResearch Spotlights
Mapping Beaver Dams with Machine Learning
A new model deploys a neural network to spot beavers’ engineering exploits in aerial and satellite imagery, an approach that should aid studies of ecosystem and landscape change.
Posted inEditors' Highlights
Machine Learning Helps Constrain the Thickness of Ancient Crust
A machine learning model trained using data on the chemical composition of magmatic rocks yields comparable, if not better, results to previously developed geochemical proxies.
Posted inNews
New Forecasting Tool Could Help Indian Farmers Plan Irrigation
Tropical weather is unpredictable, but a new tool could help farmers get a better grasp on it.
Posted inEditors' Highlights
Inductive Approach Reveals Controls on Dissolved Organic Carbon
Machine learning leverages large data sets to reveal hidden patterns explaining when, where, and why dissolved organic carbon moves from hillslopes to streams.
