Is statistical modeling for glacier loss accurate?

Glacier loss is a pressing concern worldwide, with ice melt impacting freshwater supplies, sea-level rise and ocean circulation. Often, global glacier models are employed to better understand the extent of this threat, such ...

Refining biome labeling for microbial community samples

In a study published in the journal Environmental Science and Ecotechnology, researchers from Huazhong University of Science and Technology have introduced "Meta-Sorter," an AI-based method that leverages neural networks ...

A tailored and rapid approach for ozonation catalyst design

In a new study published in the journal Environmental Science and Ecotechnology, researchers from the Chinese Research Academy of Environment Sciences have employed machine learning, specifically the artificial neural network ...

Mapping beaver dams with machine learning

North American beavers transform ecosystems with their engineering prowess. By ponding water, excavating channels, and foraging nearby vegetation, they drastically alter landscapes across a variety of environments, from tundra ...

Tracking invasive plants from space

Invasive plant species do more than harm agriculture and native species as they reshape landscapes. They also cause economic losses of more than $20 billion annually in the U.S. alone. Identifying where and how quickly invasive ...

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