Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...
Forests are central to climate mitigation, yet tracking how fast they grow over decades remains difficult. A new satellite-based approach ...
This analysis explores key storylines, examining the political, environmental, and economic dynamics shaping tropical rainforests in 2025, with attention to how policy, markets, and climate stress ...
We are excited to inform you that the current Machine Learning: Theory and Hands-On Practice with Python Specialization (taught by Professor Geena Kim) is being retired and will be replaced with a new ...
Soil salinity significantly constrains agricultural productivity and land sustainability, particularly in irrigated areas. While, remote sensing offers large-scale monitoring capacity, but its ...
Introduction: Accurate identification of forest tree species is essential for sustainable forest management, biodiversity assessment, and environmental monitoring. Urban forests, in particular, ...
Please provide your email address to receive an email when new articles are posted on . Machine learning can use patient-reported outcomes to identify low disease activity in rheumatoid arthritis.
Students at a Wake Forest charter school are going back to campus on Friday after a "threatening statement" prompted a day of remote learning. Wake Preparatory Academy announced via its Facebook page ...
Abstract: Pine wilt disease (PWD), often referred to as the “cancer of pine forests,” is notorious for its rapid spread and devastating impact. Remote sensing technologies (RSTs) are crucial for ...
Aerial view of the Amazonian jungle on a flight from La Paz to Rurrenabaque, 2014. OpenAI has announced the winners of a its 'OpenAI to Z Challenge' that hopes to help archaeologists cut through the ...
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