Remote sensing image scene classification is a vital area of research that involves assigning semantic labels to aerial and satellite imagery based on observed content. Driven by rapid advances in ...

The Remote Sensing for Natural Resources certificate focuses on using satellite and aerial imagery to monitor, measure, and model natural systems. Learn how to interpret remote sensing data to support ...

Turbulence, temperature changes, water vapor, carbon dioxide, ozone, methane, and other gases absorb, reflect, and scatter sunlight as it passes through the atmosphere, bounces off the Earth’s surface ...

Crop farmers in South Texas are witnessing the future of agriculture unfold with the advent of digital-twin technology. Spearheaded by Texas A&M AgriLife Research, this cutting-edge approach combines ...

In it, the team plans to use AI to combine on-the-ground measurements and remote sensing data; paired with advanced simulations, this will reveal patterns and relationships farmers can act on that ...

The soil–vegetation mixture scenarios simulated in the LESS model. Subplots (A) to (C), (D) to (F), and (G) to (I) show tree, crop, and grass scenes, respectively, under low, medium, and high FVC.

The field of Earth Observation (EO) is continuously advancing with the development of new optical remote sensing techniques and instrument concepts. These ...

Scientists from the University of Jaén in Spain have developed a novel method for monitoring PV plants from remote sensing data. Their method utilizes an unmanned aerial vehicle (UAV) equipped with a ...

Brazilian researchers have developed a methodology that uses remote sensing to map the impact of frost on corn crops. This reduces exposure to climate risks and uncertainty regarding agricultural ...

The online and on-campus remote sensing for natural resources certificate program delivers the hands-on experience and technical knowledge needed to excel in natural resources research and management.