Last year's Camp Fire in California was devastating. California’s hillsides are still green, thanks to a surplus of rain in the past few months, but the state is already exhorting homeowners to build ...

Researchers at Sweden's Uppsala University have applied deep machine learning to automatically identify photovoltaic and solar-thermal systems in aerial imagery and said their work yielded mixed ...

The detection of solar photovoltaic (PV) panels using aerial imagery and deep learning has emerged as a critical field in renewable energy research. Recent advancements in computer vision and machine ...

As atmospheric carbon dioxide levels continue to rise, accurately measuring the carbon stored in the world's forests has become more critical than ever. Forests are vital carbon sinks, but traditional ...

Researchers employed generative adversarial networks to more accurately construct datasets for aerial images of building that are obscured by clouds. This work may lead to improved image recognition ...