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 geographer is the first from UB to receive the honor, which recognizes exceptional contributions to the field through research, teaching or outreach.

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 ...

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 ...

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 ...

This study introduces a comprehensive analysis of various soil-resistant vegetation indices (VIs) designed to mitigate the ...

Satellites, planes, drones, canoes, and more were deployed at RIT’s Tait Preserve for ROCX 2025, an open-community, major data-collection experiment. Building off similar experiments done in 2010 and ...

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 ...

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 ...

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 ...

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.