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machine learning & AI

An image of a tall tree in a forest.
Posted inNews

The Limits to Tree Planting in the Indian Himalayas

Rishika Pardikar, Science Writer by Rishika Pardikar 6 March 20236 March 2023

The Indian government has an ambitious forestry goal. New research shows it may be out of sync with environmental and social constraints.

A blue fishing boat in water near land.
Posted inNews

Machine Learning Helps Researchers Track Illegal Fishing

by Roberto González 1 March 20231 March 2023

Using machine learning, researchers found that nearly 20% of high seas fishing could be unauthorized.

Small, white zircon crystals of various shapes and sizes appear against a black background.
Posted inResearch Spotlights

Prospecting for Copper with Machine Learning and Zircons

Rachel Fritts, Science Writer by Rachel Fritts 23 February 202323 February 2023

Using artificial intelligence, researchers can now identify zircons derived from valuable copper deposits.

Evergreen trees below a snow-capped mountain range partially obscured by fog and clouds.
Posted inNews

Boreal Trees May Grow Faster Due to Climate Change

by Saima May Sidik 21 February 202321 February 2023

Enhanced tree growth could significantly offset carbon emissions, but some researchers say it’s not enough to compete with forest disturbances.

Photo of a hilly, green area with scattered trees.
Posted inNews

Mapping Rwanda’s Trees from Above

by H. Mafaranga 13 February 202314 February 2023

Researchers used both aerial and satellite imagery, as well as machine learning, to map the carbon stock of every overstory tree in Rwanda—the first such inventory in the world.

Posted inEditors' Highlights

量化造林的碳储存潜力

by Benjamin Sulman 26 January 20237 June 2023

过去几十年,中国南方的造林项目在树木生物量中封存了大量的碳,但该地区的森林碳储存能力正接近饱和。

Map of the study area in southern China.
Posted inEditors' Highlights

Quantifying the Potential of Forestation for Carbon Storage

by Benjamin Sulman 26 January 20237 June 2023

Forestation projects in southern China over the past few decades have sequestered large amounts of carbon in tree biomass, but the region is approaching saturation of forest carbon storage capacity.

Four graphs from the paper.
Posted inEditors' Highlights

Playing Bricks with Neural Networks to Learn Sorption Processes

by Xavier Sanchez-Vila 19 January 202318 January 2023

Designated neural network modules are combined to mimic numerically-discretized diffusion-sorption equations, which allows learning “missing pieces” in system understanding and their uncertainties.

3 simulations presented in the paper.
Posted inEditors' Highlights

Interactive Learning for Better AI-Based Subgrid-Scale Modeling

by Pedram Hassanzadeh and Stephen M. Griffies 18 January 202318 January 2023

A study shows that interactive learning can significantly enhance the performance of artificial intelligence-based parameterization of small-scale processes, a critical component of climate models.

A cloudy sky above a landscape of evergreens and trees lacking any leaves, a cascade of beaver ponds cuts through the forest. On the right side of one of the ponds, a moose stands with its head down, reflected in the water.
Posted inNews

Scientists EEAGER-ly Track Beavers Across Western United States

by Alka Tripathy-Lang 3 January 20233 January 2023

Efficiently tracking nature’s engineers—beavers—at the scale of entire watersheds over time is now possible, thanks to a new artificial intelligence–trained model called EEAGER.

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Features from AGU Journals

RESEARCH SPOTLIGHTS
Geophysical Research Letters
“Neural Networks Map the Ebb and Flow of Tiny Ponds”
By Sarah Derouin

EDITORS' HIGHLIGHTS
Community Science
“Collaboration Helps Overcome Challenges in Air Quality Monitoring”
By Muki Haklay

EDITORS' VOX
Reviews of Geophysics
“What We Know and Don’t Know About Climate Tipping Elements”
By Seaver Wang

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