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 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.

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 October of 1957, the USSR launched the world's first artificial satellite into orbit around Earth. Today, we're combining Earth observation with image processing in the search for mineral resources ...

Remote sensing now provides unprecedented opportunities to monitor dynamic land surface processes at multiple spatial and temporal scales. The availability ...

Thank you to the remote sensing community for an extraordinary response. A major community‑driven data collection effort is now underway behind the scenes. We were overwhelmed by the level of interest ...

The U.S. Naval Research Laboratory (NRL) launched a groundbreaking remote sensing experiment, Coastal Hyperspectral Reflectance Object Material Analysis (CHROMA), Sept. 4-19, 2025, designed to ...

Across Asia, new initiatives are showing how satellite Earth observation data and AI-powered technologies can turn fragmented ...

As water stress intensifies across India, improving the accuracy of soil moisture data is becoming increasingly important for agriculture, ...

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 ...