An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...

M.S. in Biodiversity Data Analytics Program Director Viorel Popescu examines why biodiversity commitments are running into a ...

Developed by the DRDO, Anvesha is a hyperspectral Earth-observation satellite designed to provide India with sharper ...

Monitoring forest health typically relies on remote sensing tools such as light detection and ranging (LiDAR), radar, and ...

Early detection of declining forest health is critical for the timely intervention and treatment of droughted and diseased ...

Monitoring forest health typically relies on remote sensing tools such as light detection and ranging (LiDAR), radar, and ...

Plans are in place to send Pakistan’s first astronaut to a Chinese space station in 2026 and to land a rover on the moon by ...

For over 24 years, KBR has partnered with USGS to advance Earth science and remote sensing. This fifth consecutive award reflects KBR’s proven ability to combine visionary thinking with technical ...

Crop nutrition and quality formation are complex processes influenced by genotype, environment, and management practices.

A research team demonstrates that hyperspectral sensing, combined with advanced artificial intelligence, can accurately estimate multiple biochemical and mineral traits in grapevine leaves at once.

Abstract: Remote sensing image super-resolution (SR) technology is critical for enhancing the fine interpretation capability of large-scale land cover elements. However, existing methods are ...

Abstract: In remote sensing image (RSI) super-resolution (SR), traditional deep learning methods have made remarkable progress. However, these methods struggle to handle the complex mapping between ...