A research team, led by Prof. Meng Qingyan from the Aerospace Information Research Institute of the Chinese Academy of ...

A few key improvements in the model can make a huge difference when it comes to the field of ocean remote sensing.

A recent study introduces a groundbreaking method for early crop identification, leveraging the Bayesian Probability Update ...

From GPS navigation systems to images of current events taking place on the other side of the planet, the world in 3D is ...

This Research Topic aims to bridge the gap by highlighting innovative methodologies and applications of high-resolution ...

Accurate crop yield prediction is critical for global food security, economic planning, and insurance modeling. Traditional ...

The emerging field of ecoinformatics is transforming the way we understand and manage ecological systems and real-world challenges.

The Integrated Remote and In Situ Sensing (IRISS) initiative is a pillar of the CU Boulder ... TORUS - The TORUS Project improves the conceptual model of supercells by explicating the relationship of ...

Stanford researchers have combined machine learning with high-resolution satellite and airplane observations to understand the physics behind large-scale ice movements in Antarctica. The results show ...

Remote sensing (satellite and ground-based) is increasingly being used as a technique to probe the Earth's atmosphere, ocean and land surfaces. Probing of other planets is accomplished largely by ...

Our online 15-credit graduate certificate in remote sensing gives you an opportunity to gain a rigorous foundation in remote sensing and digital image processing and to use elective courses to explore ...