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 ...

Recent advances in hydrological science highlight the urgent need for robust and adaptive modeling approaches to support effective disaster management in ...

Recent breakthroughs in remote sensing are expanding how scientists and agencies monitor Earth and space, from AI wildfire prediction to climate-linked ecosystem tracking and advanced satellite ...

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.

A new artificial intelligence method can describe changes in satellite images even when the images are rotated or spatially ...

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 ...

A new satellite-based analytical framework enables accurate estimation of crop sowing and emergence dates at the field scale.

Source: CSIRO/CC BY 3.0 Remote sensing and its promise of a more efficient world is built on the idea of collecting data ...

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 ...