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.

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 ...

Skeyeon, Inc., today announced that the United States Patent and Trademark Office has issued U.S. Patent No. 12,559,451 B2, titled "System for Producing Remote Sensing Data from Near Earth Orbit." The ...

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 ...

Remote sensing has emerged as a transformative tool in monitoring crop residue and tillage practices, supporting sustainable agricultural management and soil conservation. By harnessing advances in ...

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

A new study published in the Journal of Remote Sensing demonstrates a practical advance in satellite-based soil moisture ...

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 ...

The program will update the register of asbestos-cement rooftops on public and private properties throughout Italy through an ongoing, phased workflow that is refined as new imagery is acquired and ...

Ancient Martian rivers were not the modest, slow-moving streams that earlier models described. A remote-sensing technique ...

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 ...