Dr. Cong Wang, one of the lead researchers, states, “Our findings are a significant step forward in improving remote sensing accuracy. By understanding the nuances of how soil moisture and type affect ...

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 ...

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 ...

Atmospheric pollution, characterized by complex aerosols and ozone, poses a significant global challenge to climate, environment, and public health.

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 ...

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

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 ...

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 ...

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 ...

New Book Provides Step‑by‑Step Instruction for Visualizing, Processing, Analyzing, and Managing Imagery and Raster Data Using ...